Data Architect Resume Samples

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K Hauck

Kimberly

Hauck

7880 Dicki Field

Los Angeles

+1 (555) 361 7514

7880 Dicki Field

Los Angeles

Phone

p +1 (555) 361 7514

Experience Experience

Boston, MA

Data Architect

Boston, MA

Pouros LLC

Boston, MA

Data Architect

Client Credit Data Architect Data Architecture and Information Services (DAIS) is the group within the Enterprise Architecture Management and Services (EAM&S) department that is responsible for developing and maintaining data structures (physical database objects) and a repository for the formal definitions of the data and data structures (Global Data Dictionary) for all of client Credit globally
Participate in data integration, business intelligence (BI) and enterprise information management programs by rationalizing the data architecture to support reuse
Create reports
Works with Data Engineers, DBA’s as part of Database Design and Development
Working knowledge of software development methodologies including RUP, Agile, Extreme Programming, SDLC, and Waterfall
Develop and maintain Enterprise Data Models for Enterprise Class Data Initiatives
Developing and enforcing data modeling standards and best practices

present

San Francisco, CA

Data Architect

San Francisco, CA

Jenkins LLC

present

San Francisco, CA

Data Architect

present

Organizing and managing the technical DATA team of data architects, data modelers, engineers and providing leadership, guidance, and mentoring
Developing conceptual and logical information models within the context of the Enterprise and Line of Business Information Architecture
The Data Architect will oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Collaborate with project managers, address data related problems in regards to systems integration and compatibility, as well as act as a leader for coaching, training and providing career development to stakeholders
Ensuring that DW/BI standards and guidelines are used to develop the information models and database designs
Working with the DBA to transform the logical information model into a first-cut logical database design (physical information model for the target DBMS)
Developing a comprehensive process used to drive efficient application of resources across the business
House database expert and authority by defining, implementing, and enforcing all data integration standards and documentation. Review and suggest improvement to the data architecture processes, policies, and vision and explore new and emerging technologies. Lead the investigation and adaptation of beneficial data architecture technologies and tools and lead strategy, development, and implementation of an Enterprise Data Model and strategy development for usage of Operational Data Stores. Develop transparent and well understood enterprise data governance processes, rules, and technologies to support them, identify and promote best practices for data modeling within information areas, and provide oversight for all activities related to data cleansing, data quality, and data consolidation

Education Education

Bachelor’s Degree in Computer Science

Colorado State University

Bachelor’s Degree in Computer Science

Skills Skills

Data Analysis- Strong SQL skills and data profiling. Comfortable with Informatica or similar data profiling tool
Highly motivated, a quick learner, able to work independently or in a team and drive solutions with minimal supervision
Strong knowledge on data profiling, data standardization, transformation, cleansing and best practices to apply on high volume data
Strong business acumen that enables the ability to develop strategy, process capabilities, and enabling database technologies
Strong knowledge of leading concepts in Data Quality, Master Data Management, Data Governance and Data Stewardship
Experienced in creating highly available systems, leadership skills and ability to mentor and train other technical staff members
Strong problem solving and logical thinking skills - the ability to take complex ideas and break them into logical actionable steps
Great balance between offering quick solutions and writing maintainable code
Excellent understanding of how data integrity is maintained across complex, distributed systems and good working knowledge of TPMS, XA, ETL and SOA solutions
Excellent written and verbal presentation skills, and ability to present to technical and business audiences

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Data Architect Resume Examples & Samples

Responsible for designing and delivering Flexible & Performant Databases which align with Business Goals
Help in developing Enterprise wide guidelines/standards for Database Design
Works with Data Engineers, DBA’s as part of Database Design and Development
Work with Solution Architects to develop ETL/Data Integration/Data Processing Flows
Support Minor Database Change Requests as needed
Develop and maintain Enterprise Data Models for Enterprise Class Data Initiatives
Support ETL Teams in Development effort if needed
Work with Development Teams to understand and make recommendations on Proposed Database Structures and Data Flows
Expert Level working knowledge of Database Design and Data Modeling Principles
Financial Services Industry knowledge is a plus
Experience with IBM Infosphere (Business Glossary, Information Analyzer, Metadata Workbench) is a plus
Experience with HP Non Stop SQL is a plus
Bachelor’s Degree in a Technology Related Discipline is preferred

Data Architect Resume Examples & Samples

Translates enterprise or business requirements into long-term information/data architecture solutions, including conceptual, logical and physical models
Analyzes and defines enterprise master data management strategies and models
Implements and promotes governance processes for information and metadata to ensure establishment of a common language and the ongoing accuracy, validity, and reuse of metadata
Architects and designs data virtualization and data abstraction solutions, leads the related implementation efforts
Defines and maintains best practice guidelines and standards for data, metadata, data modeling, and management
Provides best practice leadership to database administrators and application developers
Documents technology roadmaps and the transition from the current architectural framework to target architecture of the future
Serves as point of escalation, review, and approval for key issues, significant projects, and decisions
Advises business and technology groups on future technology options, outlining risks, costs, benefits, and capabilities
Collaborates with business analysts and project managers on a wide range of technology projects, including software development, package implementations, and infrastructure upgrades/changes
Bachelor's degree in Computer Science, Computer Information Systems or related required
Master's degree in Computer Science preferred
Detailed understanding of information/data architecture
Experience successfully implementing data-centric applications, such as data warehouses, operational data stores, and data integration projects
Comprehensive understanding and experience in master data management best practices and ability to be a leader in their implementation
Experience in metadata management—maintenance as well as design and implementation of metadata-driven enterprise solutions
Working knowledge of data architecture principles, terminology, and data modeling techniques
Detailed understanding of data repository characteristics, including data warehouses, operational data stores, data marts, and application databases
Demonstrated ability to produce conceptual, logical, and physical data models, proven experience with data modeling tools
Experience with and knowledge of ETL methodologies and tools (Informatica, SQL Server Integration Services)
Detailed understanding of relational databases (SQL Server 2000/2005/2008)
Good understanding of reporting/analytic technologies (Cognos, SQL Server Reporting Services, SQL Server Analytic Services)
Knowledge and experience with industry reference models and data governance processes
Knowledge of data discovery methodologies
Knowledge of data classification, business ownership/stewardship definition, and developing role-based data access
Familiarity with data privacy, compliance, and security principles and standards (GLBA, COBIT, Sarbanes-Oxley, etc.)
Experience with EAI, SOA, and web services
Strong strategic planning capabilities
Experience working with cross-functional IT groups to promote open communication and teamwork
Familiarity with architectural frameworks (ZIFA, TOGAF, etc.)
Understanding the enterprise architecture discipline, processes, concepts, and best practices
Excellent verbal and written communication skills in order to document and present data models, strategies, standards, and concepts to both business and IT audiences
5 years systems/data architecture experience with large-scale, mission-critical databases and applications
Previous Financial Services/Investment Management industry experience preferred

Data Architect Resume Examples & Samples

5 years of data architecture and data modeling experience
Expert in at least one Data Modeling tool (Power Designer or CA Ervin is preferred)
Proven ability to transform business information into conceptual, logical and physical data models
Strong skills in Relational Database (preferably DB2) including database design & SQL writing
Advanced collaboration and communication skills to be able to interact with business units
Experience in finance industry, domain knowledge in Operational Risk & Control business functionalities
Unix & Autosys expousore, system administrator background
Informatica ETL and IDQ
Experience working datawarehouses
Experience working with Enterprise Data Warehouse Frameworks and ETL design.*LI-MW

Data Architect Resume Examples & Samples

Work with Head of Data, Documents and Imaging on data management standards
Manage a team of Data Modelers, Data Analysts, and Metadata Repository Administrators, providing technical leadership and coaching to team members
Understand data flows and lineage from operational data sources to analytical data sources
Review and approve project designs including data models and ETL
Work with Chief Architect to evaluate new/upgraded software and infrastructure
Work with project teams to ensure compliance with data management standards
10 years in information technology
5 years in architecting enterprise class data management solutions
5 years of experience managing direct report employees
Ability to lead the design and development of a large-scale data warehouse
Knowledge of data architecture concepts such as data cubes and OLAP multi-dimensional systems, data marts, data mining systems, operational data stores, data warehouses, staging databases and data servicing layers
Experience in enterprise data modeling standards and tools such as Erwin
Experience in Microsoft SQL Server 2008 R2 or higher. Experience in Oracle 11g or higher a plus
Experience in SQL or query optimization, indexing and performance tuning, and design for performance
Experience working with database deployment architecture that includes clustering and replication
Experience with capturing enterprise metadata including structure, data lineage and data quality. Experience with Ab Initio Metadata Hub a plus
Familiarity with the procedures and issues of implementing ETL routines. Should have experience with an ETL tool, preferably Microsoft SSIS. Familiarity with Ab Initio is a plus
Strong communications skills and the ability to work with customers to understand business requirements

Data Architect Resume Examples & Samples

Demonstrated communication skills with business and technology
A College or University degree and/or relevant proven work experience is preferred
The candidate will have excellent communication skills and have demonstrated the ability to marry the needs of a business with a balanced risk based approach to implementation of systems

Data Architect Resume Examples & Samples

Data Analysis and Modelling – Working with the business and data analysts in the EDH team, as well as the key stakeholders, drive out requirements for data from consumers and understand how these map onto the data within the warehouse, and within the systems that feed the warehouse. Use this information to drive the data modelling activities both to the relational and XML models. This will require being proactive in understanding the requirement of the service consumers as well as the capabilities of the data providers
Manage the data governance forum – the data model for the EDH is tightly governed and the role holder will chair the meetings of the data modelling governance forum
Technical architecture – drive evaluation of the technology architecture to support new requirements and improve existing capabilities
SQL (ideally in a data warehouse environment)
Messaging middleware (IBM MQ or similar)
SOAP web services

Data Architect Resume Examples & Samples

Contribute to data architecture frameworks, data architecture strategy, policies, guiding principles and standards to govern how technology solutions will be developed and implemented
Support the communication and execution of a comprehensive data strategy
Contribute to the evolution of the enterprise information model to support all operational platforms, data marts and data warehouses
Contribute to the development of project plans by providing input and manage projects/initiatives by directing assigned resources, communicating project status and providing timely escalation of issues. Contribute to meeting key project milestones
Work with Solution Architects, Application Architects and Subject Matter Experts to develop conceptual data models consistent with enterprise frameworks, standards and data strategies
Ensure projects are compliant with technology architecture and review all related activity against technology architecture and development standards
Demonstrate proficiency in facilitating large complex assignments while taking an enterprise wide view of data requirements
Apply knowledge of business requirements and industry knowledge and best practices to the maintenance and enhancement of the enterprise-wide and/or project specific architecture frameworks
Engage with vendors, clients and project teams for data architecture
Review the database deliverables to ensure quality and traceability to requirements and adherence to all quality management plans and standards
Support the development and test teams with the creation of test data and ensure test data conforms to data security requirements and enterprise data standards
Extend and promote the TDI data policies, standards and guidelines and align with the enterprise and contribute to decisions on technology standards
Ensure that the database designs fulfill the requirements, including data volume, frequency needs, and long-term data growth
Develop advanced knowledge of business/organization, Bank and Insurance standards from an architecture perspective
Assist in determining the cross-application data standards, data distribution standards and integration strategies
Provide strategic and technical advice to senior managers and technical resources in the creation and implementation of new data standards and databases
Assess the technical characteristics of proposals and alternatives considered to optimize database performance
Continuously enhance knowledge/expertise in own area and keep current with emerging industry trends, new technologies and best practices

Data Architect Resume Examples & Samples

5+ years of experience in a formal Data, Services and Solution Architecture role in a complex development organization
2+ years of experiences in Big Data Solution Architecture role
Provide expertise and counsel; ensuring technology teams and business areas understand the architectural options in support of their business initiatives
Research/analyze business requirements to evaluate and recommend optimal solutions
Influence from an architectural perspective within the business environment, and fulfill a data/service governance role
Apply industry knowledge to provide solutions that increase business results and/or minimize risk
Identify, recommend, source, negotiate and implement emerging data trends, developments and improvements/solutions (buy/build/reuse)
Knowledge of process and enterprise architecture governance (TOGAF, Zachman)
Knowledge of SAP Business Objects, and OBIEE would be considered an asset
Development of Business and Data Roadmaps and associated plans
Use specialized tools and techniques to develop data model and enhance existing data model. Experience in ETL, data architecture, data modeling, data analysis and profiling, Metadata Management, Reference Data Management, Big Data, Master Data Management, and the Teradata Financial Services Logical Data Model considered an asset
Use specialized tool and technique to develop service/message model and enhance existing service/message model. Experience in EAI, SOA, and ESB, designing and implementing solutions using WSDL, REST and SOAP
2+ years of experience with the following tasks in the context of Distributed Data Analytics
Implementation of Data Warehouse applications
Administration of relational databases
Data migration from existing data stores
Able to multi-task in a very dynamic environment as a Data/Services/Integration Architect may be juggling 5-10 projects within their portfolio at a time
Build consensus and alignment between enterprise-wide direction and business specific initiatives and requirements
Excellent logical thinking skills possessing the ability to prepare logically structured papers
Very good written and verbal communication / presentation skills

Data Architect Resume Examples & Samples

Proactively educate delivery teams on MB guiding principles, standards, and data governance practices
Engage in multiple information architecture initiatives to guide data requirements, ensure proper data model design, build data models when required (logical and physical), and enforce information architecture standards
A good teacher and communicator on the modeling techniques, data solutions, modeling & governance
Identify new trends in data management architecture and tools
Experience with data warehouse design, master data management, and “Large Data” technologies is a plus
Excellent communication skills, including verbal, written and presentation, are required
Requires technical understanding of Data Integration, SOA, MDM, Metadata, DWH, Reporting & BI product suites

Data Architect Resume Examples & Samples

Minimum of 2 year of hand-on experience programming in Hadoop framework, HDFS, MapReduce processing implementation
Minimum of 5 years systems development and implementation experience using Java/J2EE, RDBMS, Linux/Unix
Working experience with large scale Hadoop environments build and support including design, configuration, installation, performance tuning and monitoring
Experience with the following tasks in the context of Hadoop
Bachelor's degree (or higher) in Computer Science, Engineering or Technical Science
Hands-on experience with the overall Hadoop ecosystem (e.g. MapReduce, HDFS, Pig, Hive, HBase, Flume, HCatalog, Sqoop, Oozie, Zookeeper)
Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, JSP, XML)
Well versed in installing & managing Cloudera distribution of Hadoop (CDH5, Cloudera Manager, etc.)
Hands-on experience with analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout)
Experience with ETL (Extract-Transform-Load) tools
Hands-on experience with Visualization and BI tools and reporting software (e.g. Tableau, Cognos, Microstrategy, Pentaho)
Hands-on experience with Hadoop based monitoring tools (CM, NagiOS, Ganglia etc.)
Previous experience with NoSQL or distributed RDBMS would be an assist (Cassandra, MongoDB, etc.)
Knowledge of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems
Must be proactive and be prepared to address meetings
Must show initiative and desire to learn business subjects
Excellent problem solving skills; proven teamwork and communication skills

Data Architect Resume Examples & Samples

Lead and collaborate within WMTS to select and define appropriate data architecture in line with the Wealth Data Strategy
Align Wealth Data Strategy with Enterprise Data Strategy
Deliver effective, agile data designs
Develop, maintain, and refine data models: conceptual, logical, and physical, in relational, dimensional, multidimensional and non-structured environments
Define data integration architecture
Develop, maintain and refine data standards for WMTS
Create Data Movement/Preparation/Transformation data standards
Determine business requirements and based on those requirements define what data is required for projects
Determine non-functional characteristics of data: timeliness, access-to data/batch/online/existing service
Define data quality standards
Review existing database deployments for alignment to WMTS data models
Identify data sources, confirm which systems have the data required, construct data decomposition diagrams, data flows & data context diagrams
Obtain buy-in and adoption, through socializing key concepts, objectives, benefits and plans of the program
Liaise with other areas of the enterprise to identify possible areas of synergy and leverage to accelerate the development of WMTS’s data architecture and facilitate stronger integration with other parts of the bank
Further advance the TD Enterprise Data Model (EDM) for any new data that is required
Research and innovate: continually recommend improvements to data modeling techniques, data-related technologies and standards and governance resources and processes
Ensure a good relationship is maintained with stakeholders, to keep them informed of business needs and current direction
Act as an expert consultant / resource in data design, architecture governance principles and best practices
Work effectively as a team, supporting other members of the team in achieving business objectives. Provide leadership / consulting / direction to the team on all aspects of data architecture to ensure advanced learning occurs. Lead and manage data architecture activities within the team
Work with Solution Architects, Application Architects and Solution Designers to define data requirements and provide a foundation for data design
Model and design the application data structure, storage, and integration in collaboration with Solution Designers and DBAs for operational systems, web APIs, DataWarehouse and BI analytics
Ensure that the Developers and DBAs responsible for developing the database thoroughly understand the requirements and designs
Review the data deliverables to ensure quality and traceability to requirements and adherence to all quality management plans and standards
Provide guidance on database analysis, design, and build effort
Primary Subject Matter Expert with specialized knowledge related to data architecture of multiple TD applications and/or lines of business

Data Architect Resume Examples & Samples

10 plus years of experience in Data Architecture and Modeling in Data and Information Architecture and Data Warehousing
Practical experience with Big Data technologies and Architecture
Experience building multiple Logical Data Models, both custom and industry banking models (FSLDM or BDWM)
Experience designing and supporting a multi-terabyte Data Warehouse using Teradata, Oracle, Hadoop or DB2
Requires technical understanding of key aspects of current architectures regarding Data Integration, SOA, Master
Data Management, Metadata, Data Warehousing, Reporting & BI product suites
Experience with data security and privacy architecture is critical
Requires extensive understanding of Data Warehousing, Active Data Warehousing, Operational Data Stores, Data Integration, Reporting and BI technologies
Experience achieving objectives in a large organization including influencing and negotiating with Sr. Management
Experience with and a strong understanding of the Teradata RDBMS, Hadoop and the SAS product suite
Experience with different classes of BI tools. Experience with Cognos, Tableau is a plus
Excellent people skills, leadership skills and experience motivating people to achieve objectives
Understanding of Data Integration and ETL technologies. Experience with DataStage or SAS is preferred
Bachelor's degree in Science, Business or Arts is required, Master's degree in Computer Science or similar is

Data Architect Resume Examples & Samples

Performs data modeling (conceptual, logical and physical) for supported applications (OLTP, ODS, MDM, Data Marts, Data Warehouse etc.,) and projects and creates related diagram deliverables
Performs initial table storage capacity and predicted future growth based on the application use and online retention requirements
Prepares table access properties and volatility transactions
Creates technical specifications, documentation and data dictionaries
Assesses the impacts and efforts of new projects and continuous enhancements to existing application data architectures and data models
Generates sequenced sets of DDL scripts through the use of versioning
Leads the creation of database related scripts and programs required to compliment the auto-generated DDL scripts
Partners with application teams on the data loading technology and logic to achieve the best results
Partners with the DBA’s on the database design, co-existence and consolidation and replication/propagation strategies for new applications
Evaluate SQL and NoSQL technologies that are appropriate for specific use cases
Design models for NoSQL DB based on the business requirements
Analyze Big Data use cases and design data stores and data architecture using Hadoop and related technologies
Collaborates with the Sr. Data Architect, defines standards in data architecture and modeling for transaction, reporting, data warehouse databases with considerations to database availability, scalability, manageability and performance
Collaborates with the Sr. Data Architect in defining standards for how data will be organized, stored, accessed and propagated while maintaining a flexible and extensible architecture that allows evolving information needs
Seeks for opportunities to reuse, share, consolidate and leverage existing data architectures
Maintains an accurate and up to date Meta data repository containing data and business definitions, data sources and usage of information that can be used by business users and application teams to enhance overall data quality and the ability to rapidly deliver business solutions
Assists the application teams in the definition of extract, transformation and load processes used to populate tables
Manages the data modeling tool and repository and ensures accurateness and up to date information
Develop project plans and estimate efforts for projects
Researches, evaluates and recommends trends and products to deliver high quality and low cost data management solutions
Stays abreast of data modeling, RDBMS features and functionality through attendance at seminars, classes and other training material
Six years of experience as data architect or data modeler
A Bachelor of Sciences Degree in Computer Science or equivalent training and practical experience
Experience in designing data models and architecture standards for multi-terabyte databases in both OLTP and Data Warehousing. Minimum of two years in Data Warehousing environments
Experience in designing data models for MDM and ODS
Experience designing utilizing ETL technologies
Experience designing utilizing Data Federation and Data Virtualization technologies
Extensive experience with Oracle RDBMS and applying features to produce highly manageable, performing and scalable data architectures with multi-terabyte databases
Experience with designing data architectures leveraged by OLAP, MOLAP and ROLAP applications
Knowledge of NoSQL technologies and design concepts
Knowledge of Big Data and Hadoop technologies and design concepts
Experience in managing multiple concurrent projects using standard software development life cycle methodologies
Requires knowledge of web, middleware technology, Object Oriented design and Service Oriented Architectures
Data modeling and architecture experience with SQLServer, Sybase and DB2
Practical work experience with Informatica ETL tool or other ETL technologies
Practical work experience with NoSQL DBs
Practical work experience with Hadoop based solution implementation
Practical work experience as a DBA in development and production environments
Experience in the design and maintenance of near real-time data warehousing
Experience in the financial services or mutual fund industry
Ability to work across functional teams to gather requirements needed for the design of the solution
Ability to work on multiple, concurrent projects of varying size and scope and core team activities in a fast paced, global environment
Ability to build consensus and collaborate with others
Ability to meet objectives within short timeframes and prioritize conflicting deadlines
Creative and innovative in the use of technology

Data Architect Resume Examples & Samples

Experience working successfully in data management domain (with primary focus on information / data architecture as well as Master Data Management, Data Quality and Data Governance) gained from a mixture of development, design, architecture and technical lead roles
Consulting / software background and /or extensive experience of dealing and managing such consulting organizations, system integrators and software vendors
Proven track record and experience in end-to-end architecture obtained from multiple implementations of enterprise scale, data centric projects
Strong academic and practical background in architecture development and design methodologies, holding formal architectural certifications and / or being able to demonstrate significant IS industry experience across major consulting and delivery organisations
Advanced Microsoft Office skills (Word, Excel including VBA, PowerPoint, Visio and Access)
Proficient user of data modelling (e.g. Erwin, ER/Studio and PowerDesigner) and enterprise architecture tools (e.g. Enterprise Architect, ARIS and Mega)
Experience using SQL for modifying, manipulating and transforming data
Experience with RDBMS technologies (e.g. Oracle, SQL Server, Teradata)
Exposure to / experience of using project management tools (such as MS Project or suitable alternatives)
Exposure to / experience of using collaboration tools (e.g. SharePoint, Wiki etc)
Exposure to / experience with ETL technologies (e.g. Informatica, MS SSIS, Ab Initio etc)
Exposure to / experience with data quality tools (e.g. Trillium, SAS DataFlux, Informatica Data Quality etc)
Exposure to / experience with MDM technologies (e.g. SAP Netweaver, IBM InfoSphere Advanced, Oracle Siebel UCM etc)

Data Architect Resume Examples & Samples

Analyze business needs and information requirements, define optimum system requirements to meet business needs, and prioritize and manage new requirements
Develops detailed analysis, design, construction and testing specifications ensuring technical compatibility and integration
Verifies decision support program specifications with users for reliability, accuracy and functionality. Provide support to development team through tuning, indexing, sizing and debugging to ensure that quality and standards meet customer expectations
Maintain modeling and naming standards and data normalization, meta data management, source to target data mapping
Provides technical leadership to onsite/offshore development team through mentoring and technical documentation
Manages overall physical database structures for business functionality, data integrity, performance, recoverability, maintenance, and space requirement considerations
Monitors system and database performance to identify performance improvement opportunities via physical database design, SQL or programming changes
Creates and maintains logical and physical data models, metadata repositories, data catalogs, performing database design
Maintain data model and queries for data retrieval and data distribution to downstream systems
Bachelor's Degree with a minimum 2 years of IT experience
Minimum 2 years of SQL skills and experience tuning both SQL code and physical database design
Minimum 2 years experience in PL/SQL and extensive experience in stored procedures Eligibility Requirements
Must submit your application for employment through COS (Internal Candidates) or GECareers.com (External Candidates) to be considered for this opening
Must be willing to travel up to 5% of time
Experience in analyzing source system, data flows, and delivering data architecture designs
Possesses SQL skills
Experience working as a Data/Information Architect
Experience performing logical and physical design, performance monitoring and tuning as well as project implementation
Knowledge of backup, recovery, and security procedures for Oracle databases, and data modeling
Review business requests for data and data usage, researches and recommends changes to upcoming data sources
Extensive experience with performance tuning and metadata design and management
Performance tuning and stored procedure development using PL/SQL
Work with BI team to build and run ETL workflows with Informatica or similar
Design and maintain logical and physical database models with ERwin or similar
Maintain existing Oracle schemas for self-service applications including data dictionaries
Optimize database model and queries for data retrieval and data distribution
Strong communication skills to work on a cross-functional team and leverage IT COE's
Ensure all disaster recovery and replication scripts are running

Data Architect Resume Examples & Samples

Own the enterprise-level Data Architecture for KYC data serving as the authoritative reference for implementation of KYC applications and common services (conceptual & logical models; metadata management
Develop organization and versioning scheme across compliance requirements, logical data model, KYC system implementations and client records
Work with compliance to simplify and streamline the management of KYC requirements
Work with LOB Technology areas and CIS to develop standard mappings to CIS data model
Work with senior architecture and business analysis resources across LOBs and ES to define strategy, standards and business processes for shared KYC data
Work on current to target state roadmap
Develop a governance process for KYC data
Support global KYC projects (e.g., risk scoring, periodic reviews, holistic view, global due diligence, etc.)
Participate and/or lead cross-LOB Design Council sessions
Provide data architecture oversight
Excellent knowledge of Client Reference Data and its use/impact in the enterprise
KYC experience at equivalent large bank/broker dealers
Knowledge of Master Data Management
Ability to identify patterns, concepts, abstractions
Hands-on experience with data modeling tools (object-oriented and relational)
Experience in large, complex, cross lob technology initiatives
Detail oriented and strategic thinker
Ability to collaborate and build strong partnerships across business, technology and operations as well as across regions and lines of business
10 to 15 years minimum in technology preferably with a financial services firm

Data Architect Resume Examples & Samples

10+ years hands-on data architecture experience - in both maintenance/operational and project support role. 6+ years in data centric initiatives
Proficient in supporting data design activities
Experience in Financial Services industry preferred
Bachelors degree or equivalent work experience or certification

Data Architect Resume Examples & Samples

Work with business users and project teams to gather robust metadata and complete projects within specific timeframes
Ensure that element definitions are robust and meaningful
Name elements according to established standards
Utilize ERWin to develop logical data models from functional specifications, data requirements, and business rules provided by clients. These models will be consistent with the Group Template Models, Group Logical Data Modeling standards, and modeling best practices
Support the various loading procedures of’ logical models and databases into the metadata repository (GMR)
Maintain and enhance existing logical data models based on change requests or enhancement requests
Follow established data administration standards for quality and referential integrity
As necessary, develop task project plans and track against same
As necessary, monitor the plan’s critical paths and modify project plans accordingly
Communicate project status to management
Miscellaneous duties as assigned
Provides instructions to teammates on new procedures, techniques and software. Assist in providing guidance on continuous improvement of operations, decreasing turnaround times, streamline work processes and work to provide seamless customer service
Good communication, interpersonal and professionalism skills who can work directly with applications/client users of all levels of staff and management
Master’s degree in business supplemented by technical coursework preferred
1-3 years working as a Business Analyst – focus on gathering requirements
Ability to read a logical data model
Familiarity with a data modeling tool, ERWin preferred
Understanding of relational database structures
The ability to work in a team environment, collaborate and work well with peers
A high sense of ownership with customer service focus

Data Architect Resume Examples & Samples

Bachelor's degree in Computer Science or equivalent, Master's degree preferred
Minimum 6 years of database architecture experience
Expert understanding of complex SQL
Ability to work in a dynamic team environment and interact with resources from technical and non-technical organizations
Outstanding organizational and time management skills - able to manage and prioritize multiple assignments
SQL, python , Shell , Ruby
MYSQL important, Netezza and Vertica plus
Hadoop, Impala, Spark nice to have
Developing logical and physical data models and designs based on customer requirements
Dimensional modeling and NOSQL modeling
Developing and implementing data replication schemes
Measuring, analyzing, and tuning the performance of database applications
Database security, encryptions, SSL, and user profiles
Business intelligence/Data Warehouse solutions

Data Architect Resume Examples & Samples

5+ years of related experience
College Diploma or University Degree in the field of Computer Science / Engineering or Information Systems
Expert level SQL skills, experience with SQL Server 2012 including SSIS and SQL Server
Hands-on experience with systems requirements gathering/analysis Management Studio
Solid understanding of governance frameworks developed to resolve data ownership, sharing, and access rights
Knowledge of enterprise architecture concepts and approaches
Experience with Agile, SCRUM and XP development methods
Demonstrated experience of software integration principles and practices
Experience with application development tools, including Microsoft Visual studio
Previous experience working on a large legacy system migration and conversion project

Data Architect Resume Examples & Samples

Technical Management and Project Development Functions
Provide leadership and direction for integrating and rationalizing data design within RBC’s Data Management Environment
Provide DWE solution architecture for data warehousing projects
Conduct studies of new tools and technologies relevant to Data Management & Data Warehousing
Improve EIM performance by providing technology leadership through
Education and awareness
Development of business cases for tools and technology introduction
Extend and promote the RBC data policies, standards and guidelines across the enterprise
Exercise influence and impact across the enterprise in promoting the thought leadership and the strategic data management direction across the enterprise - Establish, publish, and evangelize the use of information standard data models, policies, tools and infrastructure across the enterprise
Lead research efforts and introduction of new data management tools and technologies
Initiate and direct studies related to enterprise data standards, strategies, issues and opportunities
Liaise with other technical areas, conduct technology research, evaluate software and produce strategy/direction papers
Effectively communicate complex architectural strategies and directions to both systems and business users
Interface with systems and business management to raise their level of understanding and support for information integration
Promote the goal of data stewardship
In-depth understanding of application, information and data architectures; broad knowledge of RBC businesses and systems
Ability to balance creativity with pragmatism, concepts with practical applications
Very strong interpersonal and communication skills; ability to communicate with people in wide variety of areas and at various levels from technical specialists to senior executives
Strong technical skills in data management: data modeling and db design, DWE Solution Architecture, data movement, business intelligence, data quality, reference and master data management, data governance processes etc
Enterprise data modeling and integration
Understanding of Business and Solution Architecture disciplines and techniques
Experience and ability to solution with current technologies (DB2, SQL Server, Oracle, Teradata, Datastage, Oracle BI etc)
Ability to assess and solution with emerging technologies (Big Data, Hadoop, NoSQL, Cloud etc.)
Data model entities and relationships of a financial services platforms and enterprise functions (e.g. Banking, Insurance, Investments, Wealth Management, AML, Risk, Finance, Fraud etc....)
Patterns of usage of the entities and relationships in the data model
Database integration patterns and performance considerations for operational and DWE databases

Data Architect Resume Examples & Samples

5+ years of prior experience as a Data Analyst
Prior FPA experience
Proficient in designing and developing spreadsheets, databases, and graphs
Working knowledge of statistical analysis tools
Comprehensive knowledge of Excel, Access, PowerPoint, Business Objects, Crystal Reports and SAS and Oracle data bases
Knowledge of the banking industry products and regulatory requirements
Familiarity with loan accounting requirements

Data Architect Resume Examples & Samples

As the Data Architect in the CoE you will be responsible for building and maintaining the data model that underpins the operations and analytic capabilities of our business
Drawing on your skills and experience, you will create innovative insights for the CoE and our clients, adapt methods and practices to fit operational team and cultural needs and contribute to thought leadership exposing by previously hidden knowledge through the use of leading edge technologies and solutions
Create, design and architect the data model based upon business and user requirements
Perform both logical and physical modelling of the DB as well as designs of the XML schema (not just the database)
Maintain metadata and mappings for correlating information
Define the data dictionary and information taxonomies
Use modelling tools to provide clarity over technical specifications for the solution delivery teams
Provide proof of concept support and basic delivery capability, before full design and development is provided by the delivery teams
Review all current operational data structures and recommend optimizations and reconfigurations
Develop and maintain all standards required for our data structures and models
Work with business analysts, technical staff, and CoE team members to plan, design, develop, implement, and enhance applications and metadata for CoE systems
Work closely with 3rd party vendors to integrate selected packages
Recommend and evaluate new tools and methodologies
Will provide full-life cycle architectural guidance and ensure quality technical deliverables
Plan and lead the design of data conversion (Extract/Transform/Load) processes, utilising external resources as required to ensure we have a comprehensive data lifecycle process and governance in place
Development of the Information Strategy
Experience working successfully in data management domain (with primary focus on information / data architecture as well as Master Data Management, Data Quality and Data Governance) gained from a mixture of development, design, architecture and technical lead roles)
Consulting / software background and /or experience of dealing and managing such consulting organizations, system integrators and software vendors
Proven track record and experience in end-to-end architecture obtained from multiple implementations of data centric projects
Proficient user of data modelling (e.g. Erwin, ER/Studio or similar)
Experience with RDBMS technologies (e.g. SQL Server)
Experience in web based Architecture, end user usage analytics and design improvements
Experience with business analysis and requirements gathering techniques
Knowledge of business process modelling techniques and workflow systems
Knowledge of XML and XBRL
Ability to manage multiple priorities, follow a project plan and meet project deliverables
Strong conceptual, analytical and decision making skills
Proficiency with Microsoft Office (Word, Excel, PowerPoint, Access)
Exposure to enterprise architecture tools (e.g. ARIS, Mega)
Exposure to unstructured data (e.g. Hadoop)
Exposure to middleware technologies EAI and ETL tools

Data Architect Resume Examples & Samples

Extensive database/data warehouse modeling and design experience (ERWin, PowerDesigner preferred)
In-depth knowledge and hands-on experience with data integration ETL development
In-depth knowledge and hands-on experience with reporting and analytic tools such as Business Objects, SAS, etc
In-depth knowledge and hands-on experience of database systems, specifically Teradata, Sybase, Oracle and/or DB2
Strong SQL and database performance tuning skills
Team management skills
Experience in NoSQL/Big Data
Experience with Java or any other programming language

Data Architect Resume Examples & Samples

Participate with BI team in the implementation of processes which result in a high degree of data quality and integrity, and assist in the resolution of data quality issues
Establish and maintain an Enterprise Data Model describing how data is processed, stored, and utilized, including source to report lineage
Develop data governance strategy and controls to ensure consistency of data between various systems, and across the enterprise system architecture
Provide advice and give presentations on solutions for business intelligence and data warehousing activities including reporting, and data analytics for stakeholders at different levels within the organization
Consultation and collaboration with Enterprise Architect, Security and Service delivery areas to ensure solutions adhere to strategies, standards and policies
Help drive best practice in the Architecture domain through the introduction of enhanced development, testing and deployment standards and policies
10 + years commercial development experience of hands-on design and implementation of business solutions that include data design/modelling, ETL technologies and reporting/BI technologies, for multi-terabyte data warehouse solutions
Exposure to projects involving data warehouse replacements, including platform selection
Track record of delivery of projects in mission critical environments
Exposure to multiple, diverse business systems, technologies and processing environments
Solid understanding of metadata management best practices with experience implementing or operating a metadata repository
Awareness of Big Data Solutions and Fraud Analytics
Prior experience of contributing to the development of IT strategies
Knowledge of all aspects of IT architecture (TOGAF or other frameworks is a benefit)

Data Architect Resume Examples & Samples

Strong knowledge of SQL in terms of performance tuning and optimizations
In depth experience with data/information modeling
Data Warehouse experience
Experience with risk management platform development in financial industry, i.e, market risk/credit/liquidity stress

Data Architect Resume Examples & Samples

Provide technical expertise to identify and build data-models
Develop data-entity and relationships diagrams based on business processes/models
Assist in designing of master data management models and technical reference models
Demonstrated experience designing and implementing data-dictionaries
Work with governance teams to identify data governance and select applicable standards
Bachelor's degree or an additional 4 years of relevant experience
Active high level government security clearance
5+ years of System/Applications Development experience with focus on complex client/server and n-tier architecture systems
3+ years of data management and architecture experience
3+ years of experience using IBM System Architect or other architecture development tools
Strong practical knowledge of data-management and modeling
Understanding of National Information Exchange Model (NIEM)

Data Architect Resume Examples & Samples

Establishes metadata management, modeling approaches and standards, and best practices for DW
Adapts and implements data governance standards in the DW environment
Develops standards, guidelines, and processes to consistently address recurring issues such as data convergence, data duplication, semantic issues, and data integration/synchronization
Defines data strategy, policies, and controls to ensure that the DW environment is accurate, complete, secure and reliable
Identifies areas for data quality improvement and helps to resolve data quality problems through teams and platforms including the DW itself, the MDM platform, ETL and related services, and systems of record and reference
Engages with relevant internal parties and external vendors in best practice sharing and DW solution delivery
Manages the DW Data Logical, Physical, and Canonical Models, including data dictionary/metadata registry
Provides data consultation on complex projects and is considered to be a top level contributor/specialist
Develops and deploys scripts through established turnover processes
Analyzes and optimizes database and query performance
Designs, tests, and deploys data integrity and other data quality mechanisms for the DW
Develops and ensures compliance with data architecture principles and standards within the DW environment
Proven leadership experience
Strong experience working with metadata repositories and data modeling tools (e.g. Erwin, Rational Data Architect)
Strong working knowledge of MDM processes, governance, and platforms
Master-level knowledge of relational databases, Data Warehouse and business Intelligence solutions
Demonstrable teamwork and collaboration skills
Modeling/Design experience for high-performance platforms such as Oracle Exadata and Teradata will distinguish applicants
Applicants must have significant experience outside the Microsoft stack. Oracle experience with strong PL-SQL skills preferred. Experience migrating SQL Server to Oracle is a plus
Ability to function at the platform architect level as well as the application level is required, as the position is reponsible for both the DW platform and working with application teams (e.g., for view design)

Data Architect Resume Examples & Samples

Minimum of 10+ year’s of businesss requirements analysis and information modeling (logical and physical) of key financial products (Bilateral, OTC & exchange traded, centrally cleared) and concepts (e.g. positions, trades, financing transactions, future flows, collateral/margining) in the securities/financial industry
Minimum of 8+ years in handling Oracle based Physical Modeling
Minimum of 5+ years in Leading database level tuning and optimization in support of application development teams
Proficiency in SQL in order to access and analyze data residing in relational and dimensional databases
Proficiency in a data modeling tool – preferably Erwin

Data Architect Resume Examples & Samples

Provide strategic technology guidance to the business
Develop a deep understanding of the business to identify new innovative data tools that support continued growth
Identify opportunities for enterprise data quality and availability improvement - seek continuous improvement
Establish and enforce best practices for extracting, transforming and integrating a flexible and maintainable Data Warehousing architecture
Develop database architectural strategies at the modelling, design and implementation stages to address business and industry requirements
Provide and design tools to assist in the management of the data base
Collaborate with system architects, software architects, design analysts, and others to achieve a state of the art environment that meets current and future business objectives
Develop guidelines and standards for cataloguing and maintaining data
Minimum 3-5 years' experience in an analytical or architectural role
Experience in building, maintaining and evolving end-to-end analytics data sources to meet the needs of analysts & data scientists
Highly motivated, with a proven ability to work on own initiative and as part of a team within a challenging and dynamic work environment
Experience with Oracle, Toad, SQL, Microsoft Excel and Excel VBA would be beneficial
Proven track record of using strong analytical skills and a logical approach to problem solving
Ability to prioritise tasks and work on multiple assignments
Experience leading and motivating teams
Flexibility as required by the business from time to time

Data Architect Resume Examples & Samples

Designs and builds relational databases
Develops strategies for data acquisitions, archive recovery, and implementation of a database
Translates business needs into long-term architecture solutions
Reviews and develops object and data models and the metadata repository to structure the data for better management and quicker access
Must have Bachelor's degree
Must have 8 years of experience in IT with 5 years as a Data Architect
5 years experience with Data Modeling & Data Administration Tools
5 years experience in data architecture, data modeling and database design

Data Architect Resume Examples & Samples

1) Data Architects produce Logical and Physical Data Models with corresponding Data Dictionaries while following Guidelines, Standards, and Procedures
2) Data Architects maintain Data Models over life of application under request of project teams
3) In addition, Data Architects review database designs, or packaged software solutions for fitness to project needs, architecture standards and best practices

Data Architect Resume Examples & Samples

Work with Stakeholders and Product Owners to understand and maintain a high level understanding of the current and upcoming requirements for the portfolio
Develop close links with key data stakeholders and a deep understanding of the purpose and future needs of the company with regards to data, working closely with Team Data and Business Intelligence
Evaluate design alternatives and perform cost benefit analysis
Create, develop and maintain appropriate descriptions of company data and data structures, including: data definitions, dictionaries, models, data mappings, data flow diagrams, etc
Define and split architectural epics into features for the program backlog specifically focusing on data
Be the focal point for research into new data technologies and design
Serve as the technical governance representative within cross functional teams to make appropriate system and component level design decisions during the implementation phases, ensuring visibility through the technical governance process
Be hands on and able to lead and perform technical spikes to prove out product ideas
Oversee and provide quality assurance on all data designs with third parties
Survey, evaluate and recommend toolsets, systems and solutions in response to current and future business need
Highly motivated, a quick learner, able to work independently or in a team and drive solutions with minimal supervision
Flexible: capable of juggling multiple priorities and willing to do what it takes to meet critical deadlines
Able to show strong written communication skills including design documentation proof of concept and prototype analysis and documentation
Able to have a proactive appoach and be able to take responsibility to act and think laterally to rapidly solve problems or identify opportunities as they arise
Practical knowledge of applying some of these techniques into practice : large scale data migration, data segmentation, encryption, PII data implications, data mining concepts, context analysis and knowledge engineering theory

Data Architect Resume Examples & Samples

Drives the architecture for key cross team / cross PD projects (via architecture/design documents and developing code key modules)
Establishes software development patterns and best practices (via examples and shipping code)
Focuses on quality by implementing a high-value test automation frameworks and using continuous delivery to optimize the flow of software delivery and enabling fast and reliable deploys
Continuous delivery and Dev Ops experience - infrastructure automation, monitoring, logging, auditing and security implementation and practices
Ensures that all relevant project teams follow a common set of principles and patterns and utilize a standard set of technology frameworks and libraries
Provide leadership across the Architecture community to ensure solutions are built in alignment with platform principles and standards
Proven knowledge of successful design, architecture and development in data platforms using Hadoop ecosystem
Deep knowledge of HBASE and Cassandra technologies is a big plus
BS/MS in Computer Science/Computer Engineering, Science, Math
A minimum of 10 years of experience in architecture and development, 5 years with experience in Java/J2ee specific is required
A minimum of 3 years experience with Hadoop and related technologies is required
A minimum of 3 years experience with RDBMS development (Oracle, DB2, etc.) is required

Data Architect Resume Examples & Samples

Provide expert guidance and consultancy in all matters relating to information management
Collaborate broadly with business analysts, developers, DBAs and architects to support business analysis & gain understanding of the business data needs
Create a robust, sustainable data/information architecture that supports requirements and provides for expansion given budgetary constraints and availability of data and skilled resources
Create conceptual, logical and physical data models in support of the business needs
Ensure data models are fully documented and appropriate data dictionaries are created
Provide information architecture and data modeling support and mentoring to development team members
Independently conducts moderate to highly complex assignments with minimal guidance and little or no supervision
Create mapping specifications from source to target
Communicate physical database designs to database administrator and ensure consistentcy between data models and the implemented databases
Develop data modeling standards(naming conventions, model patterns etc.) and ensure adherence to the standards
Provide regular coaching & guidance to less experienced analysts
Provide solution architecture guidance in data related aspects of systems development
Define and document data architecture for operational databases, reporting and provisioning platforms, including the physical components and their functionality
Promote the goals of data integration, data stewardship, data quality and governance
Implement data governance policies and provide leadership in the advancing the practic and articulating the value
Provide recommendations into the selection, use and positioning of hardware, storage, and software products to support data architecture requirements
Provide leadership in researching and architecting emerging technology solutions to meet business objectives

Data Architect Resume Examples & Samples

Determine the data architecture from data sources to data integration and distribution for asset management data domains – clients, products, instruments, books & records etc
Own the data architecture and oversight of core data platform, to facilitate Master Data Management, Meta Data Management, Data Quality Management, Data Integration, Data Distribution and Reporting / Business Intelligence. The core data platform would be a multi-purpose solution serving the needs of several asset management functions
Collaborate with relevant business and functional heads to ensure alignment with tactical and strategic goals
Partner with vendors and internal IT to deliver the IT architecture
Collaborate with IT team to develop a phased delivery plan for the target architecture
Present the architecture, choice of technology (internal and external) and delivery plan to AM Steering Committees to get scope and budget approvals
Provide regular advice and direction during program execution
Partner with UBS Group architecture teams to ensure reuse and adherence to firm principles
Partner with Information Security Officer to ensure compliance with divisional and regional rules for data security and encryption
12+ years of diverse experience in designing and managing innovative data solutions beyond ETL and Warehousing within Financial Services
Proven experience in managing complete SDLC from architecture to delivery
Proven experience in MDM implementation
Deep knowledge of Client, Product and Instrument data domains in Asset Management
Broad knowledge of different database technologies beyond RDBMS - Columnar, JSON/XML, NoSQL, Hadoop
Broad knowledge of vendor capabilities in data management solutions – MDM, Data Federation, Big Data, Data Quality, Business Intelligence etc
Hands on experience in a Big Data solution, Data Quality solution, Meta Data management would be preferred
Excellent communication skills to explain technical designs to non-technical colleagues
Excellent interpersonal skills to work with other domain architects, IT and functional heads
Maturity to participate in multiple complex programs at the same time in an agile environment
Ability to handle teams working in multiple sites (onsite, offshore, near shore)
LI-Priority

Data Architect Resume Examples & Samples

Have 3-5 years experience in leading 5-10 member teams
Agile development experience is an asset
Must have experience dealing with multiple groups such as enterprise architecture, enterprise infrastructure, information securing and business partners
Must have experience leading / facilitating meetings
Must have good communication & presentation skills
Must have experience in leading production deployments

Data Architect Resume Examples & Samples

Designs, develops, manages and/or updates data models (both logical and physical) of the staging, data warehouse and data mart areas
Coordinates collection of business requirements for data needs
Captures and maintains metadata and data dictionaries for BI data stores
Works with DBAs to migrate schema changes between development, QA and production environments
Designs schemas for optimal query performance on the Netezza platform
6+ years of experience as a data architect in large-scale, complex BI environments, with numerous data sources, BI applications, and thousands of users
4+ years of experience with ERwin Data Modeler or similar tools
4+ years of hands-on experience with large-scale data warehousing MPP platforms such as Netezza and/or Teradata
Experience with ELT (Extract-Load-Transform) data integration methodology
Familiarity with BI tools such as MicroStrategy and/or Tableau

Data Architect Resume Examples & Samples

Build a data governance approach across our Institutional finance
Establish data/information capabilities and services within Enterprise Architecture
Set appropriate standards, guidelines, and frameworks for enabling agility, stability, and value
Provide expertise on specific project initiatives to guide and assist with high-level data modelling design
In-depth practical understanding of data modelling and design, including data flow mapping, canonical formats, lineage tracking, data quality assurance, modelling from heterogeneous sources (experience with Data Vault modelling desirable)
Extensive experience with established and emerging data technologies including practical experience with data warehouses, RDMS, NoSQL/NewSQL and related technologies
Experience with establishing data governance desirable
Experience with institutional financial data models (trading, settlements and risk management) desirable

Data Architect Resume Examples & Samples

Lead, participate in gathering business requirements, analysis of source systems, define underlying data sources and transformation requirements, design suitable data model, and develop metadata for the Data Warehouse/Analytical Reporting
Work with architect peers at Universal Parks and at NBCUniversal to develop and leverage appropriate data/information architecture strategies that enable business goals
Work effectively with Technology Operations/Infrastructure teams to ensure a seamless transition of the completed data architect solution to the final data platform for its continued operations and maintenance
Develop Entity-Relationship / Dimensional Data Models for relevant projects
Document data management processes and mentor other IT staff to develop data analysis and data modeling skills
Develop and ensure compliance with data modeling, data Integration , Business Intelligence, Data Quality standards, Master Data , managing the enterprise data model and managing all metadata in the current data warehouse environment
Strong knowledge of systems development and project management Agile methodologies/processes
Experience with one or more relational databases such as DB2, Teradata, SQL Server etc.and NOSQL databases
Familiarity with ETL/Data Quality tools such as IBM’s Data Stage/Quality Stage, Informatica Power Center etc
Familiarity with reporting/ad-hoc analysis tools such as MicroStrategy, Cognos, Business Objects, Tableau etc
Familiarity with one or more statistical modeling tools by SPSS or SAS etc
Must be able to utilize and effectively communicate functional and technical components of an initiative to applicable parties both verbally and through documentation
A plus includes previous experience with DBA activities including high performance physical database design & performance tuning

Data Architect Resume Examples & Samples

Defines the data and process architectures for major areas of development. This includes an assessment of the current environment, a roadmap for future development, the impact of the development and the rationale for key decisions
Communicates detailed technical information in both written and verbal form across a wide range of audiences, including business stakeholders, users, developers, project management, and other architects
Collaborates with colleagues, customers, vendors, and other parties to understand and develop architectural solutions across the enterprise
Leads and/or facilitates the development of appropriate standards and best practices, in addition to the paths by which they may be achieved and monitored
Develops a sound understanding of existing systems and processes, their strengths and limitations, and the current and future needs of the environment in which they exist. Provides vision on how they may be improved and developed
Understands and explains the interactions between systems, applications, and services within the environment, and evaluate the impact of changes or additions to the environment
Participates in the evaluation and/or selection of solutions or products, including requirements definition, vendor and product evaluations, testing and benchmarking
Acts as a local expert for areas of domain expertise
Presents proposed technologies and processes for peer review and critique, providing rationale and explanation of decisions and assumptions, and accepting suggestions and improvements
Leads a technical team in the delivery of key projects or components when necessary, providing task definition, quality review, and accurate representation of project status
Bachelor's degree in Computer Science, Engineering, or related discipline with an IT or similar focus
At least 10 years of experience in design, specification, deployment, and maintenance of large systems, preferably across multiple business functions
Demonstrated competency developing efficient, effective solutions to diverse, complex problems
Demonstrated competency in strategic thinking, communication, and leadership
Demonstrated experience in designing systems and/or processes, including written specifications and documentation
Excellent written and verbal communication skills; able to communicate effectively across all levels of the organization; able to communicate ideas precisely and accurately
Able to form and express reasoned opinions; able to communicate and collaborate with others to reach consensus or compromise when necessary
Able to define a vision and set realistic goals toward achieving it
Comfortable with ambiguity - able to define alternatives to progress toward vision
Able to resolve the theoretical with the practical and to balance cultural and maturity-level reality against vision
Able to use computer for extended period of time
ECommerce, retail and/or catalog business experience a plus
Demonstrated experience in several of the following skills/experiences is necessary
Modeling of complex entities and services
Creation and review of non-trivial data and process specifications
Content classification (canonicalization, taxonomies, organization)
Content and/or Document Management
Web Information Architecture, including REST architectural principles, RDF
Creation of data validation and maintenance processes (interactive and batch)
Object-oriented design and development (Java, C++, etc.)
Internet technologies (TCP/IP, HTTP, HTML, CSS, XML, SMTP, JavaScript)
ECommerce applications and/or support services
Retail/Catalog systems
Database storage and interaction (SQL, Oracle, JDBC, "no-SQL" alternatives)
Working knowledge of security and cryptography (PKI, Hashing, SSL, Encryption)
Data manipulation/automation (scripting/filtering, ETL, XSLT)
Scripting and automation languages and support tools (sh, perl, python, awk, sed, ssh, etc.)
Communication protocol implementation and design (SMTP, HTTP, Telnet)
Digital imaging and image processing (file formats, batch processing, color

Data Architect Resume Examples & Samples

Create conceptual, logical and physical data models
Meet with business stakeholders to gather and analyze requirements
Meet with Information Systems (IS) stakeholders to understand and
Bachelor’s or Master’s degree in Computer Science or Computer Information Systems
At least 5 years work experience in data modeling and integration, preferably in financial services
At least 3 years work experience in data warehousing projects using IBM DB2, Oracle, or

Data Architect Resume Examples & Samples

Participate in project scope definition, data architecture development and project planning in coordination with other members of the Data warehouse team
Create design pattern templates for deliverable objects
Define and implement ETL development standards and procedures and provide leadership and mentoring to less senior data warehouse developers
Provide on-going support of existing warehouse as well as continually re-evaluate current processes and techniques for increased efficiency and maintainability
Ensure completeness and compatibility of the technical infrastructure to support system performance, availability and architecture requirements
Clear understanding of data models for implementing data warehouse projects using ETL tools
Define and implement ETL tool configuration
Maintain an awareness of existing, new and emerging data warehousing technologies
Provide detailed estimates of time for software development efforts
Ensure ETL quality through reviews and knowledge sharing. Ensure effective ETL functional decomposition into deliverable objects

Data Architect Resume Examples & Samples

Successful track-record in leading and implementing large projects
Hands-on data warehouse architect experience
Demonstrable leadership skills
7+ years of financial industry experience designing and implementing DW/BI solutions
Experience with ETL tools, including Informatica PowerCenter and Business Intelligence tools
Experience in Commercial Lending products such as loans and guarantees, market products such as Derivatives and Fixed Income Securities
Java, Perl/Shell scripting, FIX protocol, Equities knowledge

Data Architect Resume Examples & Samples

Take ownership of data models of all data science projects in ICSV
Create and enhance Relational, OLAP and NoSQL data models
Guide data modeling efforts on storage technologies like HBase, Cassandra, MongoDB, as well as DWH technologies like Teradata, Vertica
Research and Innovate using emerging open source storage technology stack like Opentsdb, Rocksdb, Druid etc
Master the enterprise data vocabulary
Open Source contributions...you may be altering code maintained as an open source project
BS, MS in Computer Science or equivalent along with hands-on experience in dealing with large data sets and distributed computing in data warehousing and business intelligence systems using Hadoop
Foundation in systems development: The Data Architect should understand the system development life cycle; software Project Management approaches; and requirements, design, and test techniques
Depth in Data Modeling and database design across various disciplines like relational Data Modeling, OLAP Data Modeling (ex:- Star Schema) and NoSQL Data Modeling (ex:- HBase, Cassandra etc)
Breadth in established and emerging Data technologies. In addition to depth in established Data Management and reporting technologies, the Data Architect is either experienced or conversant in emerging tools like Columnar and NoSQL Databases, Predictive Analytics, Data Visualization and Unstructured Data
Ability to conceive and portray the Big Data picture: When the Data Architect initiates, evaluates and influences projects he/she does from the perspective of the entire organization. The Data Architect maps the systems and interfaces used to manage data, sets standards for Data Management, analyzes current state and conceives desired future state and conceives projects needed to close the gap between current state and future goals
Ability to astutely operate in the organization: Well respected and influential, able to emphasize methodology, modeling, and governance, technologically and politically neutral, articulate, persuasive, a good salesperson and enthusiastic

Data Architect Resume Examples & Samples

Demonstrated ability to work under tight deadlines
Strong experience with Data Modeling, SQL, DB2 and Oracle
Java, Perl/Shell scripting, FIX protocol, and Equities knowledge

Data Architect Resume Examples & Samples

Lead the development and execution of GWT data architecture strategy/target state including principles, best practices and overall integration and centralization approach
Work with GWT technology teams and solution architecture group to analyze data requirements (functional and non-functional) and provide data architectural designs solutions/reviews for business application and technology initiatives
Model and design the application data structure, storage, and integration in collaboration with Solution Designers and DBAs for operational systems, web APIs, Data Warehouse and BI analytics
Acting as an internal consultant on all data architecture related activities while participating in all phases of the project development life cycle
Develop, maintain, and refine data models (conceptual, logical, and physical)
Work with the enterprise architecture group in terms of how GBM aligns and integrates with their data capabilities including the Enterprise Data Lake
Mentoring and coaching other peers and team members on data architecture issues
Providing suggestions for viable solutions to data management and architecture problems of high complexity
Advanced knowledge of data architecture principles and best practices
Advanced knowledge of data modeling in relational, dimensional (Stars), multidimensional (Cubes), and non-structured (BigData) environments
Advanced knowledge of data integration patterns and procedures (ETL)
Advanced knowledge of financial services data domains and technology standards: processes, applications, batch vs. real time, etc
Knowledge of an industry standard financial data model (e.g. FSDM) plus data messaging formats (e.g. xml/fpml ) is an asset
Advance knowledge of architectures supporting data integration for different data consumption requirements: operational data store, data warehouse, data marts, analytical data stores
Advanced knowledge of data mastering (MDM) principles (client master, security master, etc)
Understanding of data governance principles
Strong advocate for the reusability of architecture and processes by new business initiatives across all areas

Data Architect Resume Examples & Samples

Define right technology that suites our data at rest needs
Define reusable schemas to represent data on the wire
Interact with business experts and define conceptual data model
Understand existing applications, how data is moving between systems and optimize
Follow industry standard design patterns to define schemas & data models

Data Architect Resume Examples & Samples

Very good knowledge on Oracle performance and tuning and development which includes writing PL SQL, procedures, triggers, functions and packages
Good knowledge on Sybase performance and tuning and development which includes writing procedures, triggers etc
Knowledge on any scheduling tool like CA or Autosys
Good knowledge on Informatica and other ETL tools like Pentaho etc
Knowledge on any Big Data Technology like Greenplum, Hadoop etc. is desirable
Should have very good communication skills

Data Architect Resume Examples & Samples

A meticulous approach to work and an eye for detail
Ability to work in a high energy environment with demanding deadlines
Able to work well alone as well as within a multidisciplinary team via email as the primary form of communication with the team
Self-starter and highly motivated, with a demonstrated ability to meet deadlines

Data Architect Resume Examples & Samples

5+ years of experience working in a Data Architecture role; SQL Database Administration and Development.; 2+ years of experience with JavaScript/Node.js or other scripting tools
Excellent knowledge of data modeling, master data management and database design from conceptualization to database optimization
Experience with emerging tools like columnar databases, predictive analytics, data visualization, and unstructured data
Past experience working in both Windows and Linux operating environments
Strong analytical skills; ability to document business data requirements in complete, accurate, extensible, and flexible
Supply Chain and Consumer Goods Retail / Distribution experience

Data Architect Resume Examples & Samples

Work together with our architect/analyst colleagues in BEX and abroad to define and implement data related components for Credit Risk
Lead design workshops for data related items
Design and implement the performance and scalability aspects of the data related components
Expert knowledge in data architecture and data modelling
Expert in DB technology; Oracle is a must
Expert level in SQL and PL/SQL
DWH experience
Reporting tools experience (e.g. Business Objects, Cognos)
Data modelling, data modelling tools (e.g. Power Designer)
Data integrity tools

Data Architect Resume Examples & Samples

Contributing to the overall strategy and roadmap for data architecture for the COO function, capturing the top-down thoughts of the chief data architect and broader CDO function
Coordinating with senior architects and stakeholders in each area of the COO, including the Group Technology Office (GTO), the Group Data Management Office (GDMO) and other COO functions
Point of integration and ‘clearing’ for all data architecture work products, ensuring that work done by each area and ensuring projects all “fit together” into a coherent group-wide picture
Liaison point for data architecture to the various initiatives developing data quality frameworks and governance
Supporting the development of an enterprise-wide “systems of record” catalogue to capture and maintain the approved data sources and access/distribution mechanisms for all data classes group-wide
Partnering with the Chief Technology Office (CTO) organization, solution architecture, and engineering to ensure best use of standards for the key data use cases / patterns tech standards
Supporting the key data control functions (GDMO, CISO, GDP, CSBC) in ensuring a joined up approach to Level 1 and Level 2 data controls and their implementation in GTO
Supporting the management of the Enterprise Data Taxonomy within the scope of data managed by COO
Supporting data architecture toll-gates and quality-gates within the emerging Deutsche Bank ‘programme governance framework’ used for investment and execution governance across GTO
Supporting data architecture toll-gates and quality-gates within the emerging Deutsche Bank ‘software development lifecycle&#8217
Supporting the overall initiatives of the Chief Data Office, including the data architecture professional framework, training and set-up of communities of practice group-wide spanning the sub-disciplines of data architecture

Data Architect Resume Examples & Samples

Oversee project deliverables thru the whole system development life cycle process and manage the delivery of the project by creating an overall project plan
Review business requirement documents and collaborate with the business users regarding the project requirements
Design and develop technical solution to provide business users with functionalities requested
Write technical specifications for the delivery of the technical solution
Assign programming specifications to onshore and offshore developers, supervise the delivery of quality program codes and manage the timely delivery of the project
Conduct code and standard checks, including code review and peer-testing for programming modules developed
Review, approve and ascertain execution of the test scripts and review test results in development environment prior to promotion of code to QA environment
Discuss changes and enhancement to QA team and provide support to QA testers in preparation for QA testing
Educate business users on new functionalities developed and prepare the environment for user acceptance testing
Manage production implementation of the project
Conduct post production implementation checkouts to ensure successful delivery of the project to production
Communicate the system changes and enhancements to the business users and to downstream applications impacted by the change
At least 7 years of hands-on technical experience in areas of development, design and production support in mainframe technologies
Strong interpersonal skills, ability to interact and collaborate with business users and downstream application owners
Ability to work on a fast-paced environment and availability to work on extended hours

Data Architect Resume Examples & Samples

Demonstrates ability to forward & reverse engineer databases to established technical and metadata standards
Demonstrates ability to translate complex technical terminology, concepts and issues in terms understandable to technical and non-technical management and staff
Demonstrates strong verbal and written communication skills
Demonstrates ability to create and maintain conceptual, logical, physical and dimensional models
Demonstrates strong time management and prioritization skills
Demonstrates advanced understanding of operational and analytical data architectures; of relational and dimensional theory; and Software Development Life Cycles and development methodologies
Demonstrates ability to define data management standards and methods
Demonstrates awareness of DAMA-DMBOK
Demonstrates awareness of Total Quality Information Management (TQIM) principles and practices
Demonstrates ETL architecture and development skills
Demonstrates Oracle / DB2 / SQL Server database design skills
Demonstrates financial industry knowledge

Data Architect Resume Examples & Samples

Wealth Management Network
Design, create, and manage Investment Services’ data architecture vision
Define how data will be stored, consumed, integrated and managed by IT systems and applications using and processing that data
Work closely with Enterprise Technology Group (ETG) in the design and support of the data platform
Perform application query tuning, review and feedback
Recommend database performance tuning, review and feedback working with ETG
Develop and maintain a data dictionary to support an Enterprise Data Management program. Focus on data quality, accountability and governance
Support Operations in troubleshooting of upper region issues in application database areas
Develop change control processes for delivering quality deployments of database objects
Research, design, and recommend technical solutions
A minimum of four to six years of experience working with mission critical database systems (like Oracle and SQL Server)
Logical data modeling and physical database design
Production application hosting operations support experience
T-SQL and Stored Procedure performance tuning
Linux and Microsoft server technologies
Working knowledge of Oracle and SQL Server
Working knowledge of TCP/IP and related protocols
Knowledge of high availability systems design and disaster recovery strategies
Familiarity with No-SQL database solutions (Geo-distributed, Hadoop, etc) is a plus

Data Architect Resume Examples & Samples

Act as an advisor & recommend actionable data architecture solutions in support of client initiatives
Define data architecture solutions using Big Data and Data Science
Define and drive adoption of data management and data modelling processes
Define data governance including operating models for client data teams and their wider organisation
Lead technology selection, evaluation, recommendation and configurations
Lead the data architecture of client engagements, which may include applications, infrastructure and/or database strategies
Build and maintain effective relationships with client data architects and technical leads
Provide proactive technical oversight and advise to DBA and development teams fostering re-use, scalability, stability, and operational efficiency of data/analytical solutions

Data Architect Resume Examples & Samples

Understand and translate business requirements into data models, facilitating data modeling sessions with business stakeholders and technical partners. Translate the business and user requirements into system requirements
Create or update conceptual, logical and physical data models using best practices and company standards. Define, design, and oversee implementation of standards and best practices involved in modeling, describing data entities and relationships
Recommend opportunities for reuse of data models and data where appropriate. Oversee design of information solutions, ensuring that they align with business and IT strategies, maximize reuse and integrate well with existing solutions
Generate DDL scripts for deployment to QA and Production environments. Ensure design and construction meet quality standards and that the testing and operational readiness tasks are conducted and produce quality results
Perform reverse engineering of physical data models from databases and SQL Scripts. Perform software analysis, code analysis, requirements analysis, software review, identification of code metrics, system risk analysis, software reliability analysis
Bachelor’s degree in appropriate field (Finance, MIS) or two year degree with equivalent experience
10+ years' experience of Data Architecture and Data management Services, Data Governance, Data Quality processes and Data Lifecycle, Data Access and Privacy Principles
5+ years leadership experience in design and deployment of Data Architecture within a large Enterprise environment, in combination with
4+ years of data analysis, modeling and architecture experience
4+ years of DDL&DML programming experience
2+ years in ERWIN or ERStudio and Visio experience
Demonstrated Complete System Development Life Cycle experience for large scale complex projects with various industries
Knowledge of and experience applying data modeling techniques and best practices
Excellent relationship building skills; ability to interface with a variety of associates

Data Architect Resume Examples & Samples

Lead the Data Services team in implementing best practices for EDW data modeling, design, development, testing, production support, and end user training
Design and build data integration processes between Nordstrom and NR|HL systems
Partner with the stakeholders to understand business objectives and requirements
Work in a highly Agile/Scrum/Kanban environment to support incremental delivery of functionality
Ensure the quality of all EDW data inputs and outputs
Act as the gatekeeper to EDW change requests and actively seek to reduce risk and minimize downtime
Travel occasionally (around once per quarter) to Seattle to participate in integration discussions
Provide occasional on-call production support of ETL processes after hours
Minimum 6 years of experience in data warehouse architecture design, logical and physical data and ETL process modeling
Extensive experience in all phases of Data Warehouse development
Expert SQL skills
Experience with various ETL platforms, ideally including Pentaho Data Integration (Kettle)
Experience with Amazon Redshift or other MPP database platforms
Experience supporting BI tools
Must be self-motivated, energetic, detail oriented and a team player
Superior verbal and written presentation skills are required
Demonstrate skills to suggest and lead others to think critically in discussions
Python, Perl, or Java
Statistical programming (e.g. R, SAS)
Experience using AWS for data applications (e.g. EC2, S3, Redshift, RDS, Data Pipeline)
Monitoring tools such as Nagios

Data Architect Resume Examples & Samples

Minimum of 5+ year’s of business requirements analysis and information modeling (logical and physical) of key financial products (Bilateral, OTC & exchange traded, centrally cleared) and concepts (e.g. positions, trades, financing transactions, future flows, collateral/margining) in the securities/financial industry
Minimum of 5+ years in handling Oracle based Physical Modeling
Exposure to Big data is a plus

Data Architect Resume Examples & Samples

Maintain our Enterprise Data Model that describes how data sourced, processed, stored, and utilized
Identify and recommend appropriate techniques / tools for data acquisition and retention
Develop innovative data management solutions
Define our data governance strategy

Data Architect Resume Examples & Samples

Experience with Database Administration for MongoDB, Postgres, and MSSQL
Experience in performance tuning and optimization
Experience with Data modeling and data flow design
Knowledge of HA and DR options for MongoDB, Postgres, and MSSQL
Knowledge of indexes, index management, and statistics

Data Architect Resume Examples & Samples

Coordinate of Information Architecture activities across relevant Technology teams
Integration of Data Modelling output across the Technology Organization
Ensure alignment of Controlled Vocabulary, Logical Data Modelling and physical data modelling activities
Establish processes for continual integration of metadata and joining it with existing BAU processes within Technology
Implement progress and quality assessment measures for metadata
Maintain close alignment and integration with Firmwide Chief Data Office models, processes and standards
Oversight for the appropriate training and support of individuals and teams in their understanding Information Architecture responsibilities
Hands-on leadership experience in introducing and managing governance and new operational processes for metadata in a complex environment
Prior experience and familiarity with methodologies and tools (e.g. Logical Data modelling, UML, MagicDraw, RDF)
Proven ability to lead, influence, and drive decision making in a federated, multi-stakeholder environment
Excellent communication skills, and experienced in presenting to senior audiences that include technical and non-technical members
B.S./B.A. required; MBA or equivalent is desirable

Data Architect Resume Examples & Samples

Maintains a comprehensive view of current information assets, program/project architecture, and future information needs while delivering data effectively and efficiently across projects and programs
Gathers information for planning and design of new or upgraded systems
Aids the evolution of enterprise product and system roadmaps
Collaborates with departments to implement improvements in processes and with cross-organizational teams to determine Business Support System/Operations Support System support for business requirements
1-2 years writing SQL queries
1-2 years' experience with an ETL tool (preferably Informatica or SSIS)
Experience writing stored procedures
Understanding of data modeling and data warehouse concepts
Experience with Teradata or SQL Server is preferred

Data Architect Resume Examples & Samples

Create and maintain the Enterprise Data Model at the Logical and Physical Level
Steward of Enterprise Data Lifecycle Management including data storage, data retention, backup/recovery and data security technologies
Manage data design standards, master data and metadata management
Manage data governance by bringing together stakeholders and driving data quality
Leads strategy & architecture for Data Management
Champion & drive data architecture solutions from conception to implementation
Participation in ARF architecture reviews
Master's degree in CS/EE or equivalent experience, 7 ~10 years of Data Architect / Modeling experience
Demonstrated experience in design and implementation of an enterprise data model, metadata solution and data life cycle management in both RDBMS, Big Data environments
Excellent understanding Oracle technologies and related products, strong experience using Oracle 11g, 12C RAC, ADG, Data Partition
Good knowledge of data modeling tools like ER Studio/ERwin
Expertise in information and integration architecture and technologies
Domain knowledge of eCommernce, Data Warehousing, Financial, Account system

Data Architect Resume Examples & Samples

Implement data models, database designs, data access and table maintenance codes
Resolve database performance issues, database capacity issues, replication and other data issues
Work with other Information Architects and Database Designers to implement the physical data model
Develop the database performance monitoring process and analyze data for optimization opportunities
Work with business users and other systems up/downstream to gather and define data requirements
Conduct data analysis
Design and architect data modeling
Leverage tools to view and classify complex data
Program in SQL to support business enhancements to the WebServices middle tier
Write complex SQL queries to provide critical business analysis and reporting
Participate in build of strategic data processing platform by developing semantic models, tracing complex data lineage and loading data into metadata repository
Develop and use reporting and analytic tools to gain insight into complex data
Design and Code ETL solutions to combine data from multiple sources
Minimum 7 years of work experience as a Data Architect/Analysis
Expert level SQL query and stored procedure development experience (DB2 preferred)
7+ years SQL programming and implementing relational database models (DB2 preferred)
Experience working with ETL tools, data mapping, like Informatica, Ab Initio
At least 3 years ETL experience
Experience with data architecture, data management and/or database administration a must
Experience with vendor reporting products such Ab Initio, Cognos is useful

Data Architect Resume Examples & Samples

Support database design requests in DB2, Teradata, Oracle, AS400 or SQL Server
Manage the Ford Credit Database changes using the DBCR system
Develop Data Definition Language (DDL) to implement and maintain database structures Migrate
Develop conceptual, logical & physical data models
Perform impact analysis on data structure changes
Define and enforce database standards including SPII & data compliance
Review SQL for potential performance improvements
Developing new data structures in online transaction (OLTP) or data warehouse (OLAP) database
Experience with managing the Database changes
Able to multi-task and be flexible to respond to changing priorities
Excellent interpersonal skills to succeed with internal and external teams and business customers
Effective verbal and written communication and presentation skills
Ability to work closely with application developers to ensure business goals succeed
Must demonstrate good judgment and pragmatic approach to delivering a solution that optimizes architecture activities across company needs, considering business constraints and technological realities

Data Architect Resume Examples & Samples

Provide IT cost modeling support
Develop whitepapers and briefings
Demonstrate problem solving skills
Working in small teams
Mandatory 1 year minimum experience designing, developing, and building cost models or providing information management support
Mandatory B.S./B.A. degree, or higher, in Mathematics, Statistics, Accounting, Finance, or a related field
Proficiency in MS Excel, Word, and PowerPoint
Ability to work independently under tight deadlines with changing priorities
ABC Methodologies
SAS ABM Experience
Information/Data Management
Business Process Mapping
Executive Reporting

Data Architect Resume Examples & Samples

10+ years of relevant technology architecture consulting or industry experience
3+ years industry experience within any of the following industries, Banking, Insurance
Proficient with one or more of procedural database language, building functions, procedures, triggers, database types in DB2 on Mainframe
TOGAF 9 Foundation
Solution architecture expertise
Quality assurance methods
Test management methods and tools
Demand and capacity planning
Estimation methods
Development of statements of work and/or client proposals
Experience with program leadership, governance and change enablement
Lead workshops for client
Ability to scope out the effort and cost for an enterprise reporting solution
Ability to define how an enterprise information system will align with the organization’s business and strategic objectives
Ability to manage multiple teams on a data warehousing engagement and not only
Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint, etc.) and consulting skills
An advanced degree in the area of specialization is preferred
Experience in leading, coordinating, managing teams formed of more than 5 persons and the ability to lead, coordinate, manage teams formed of up to 15 persons

Data Architect Resume Examples & Samples

Understands business requirements and translates into technical solutions
Applies technical knowledge of technology and industry trends to develop, implement and maintain complex data solutions
Leads the resolution of complex data problems for large/complex projects
Elicit review, and validate data requirements, including: Data integration (ETL, EAI, and web services), Meta data, Modelling (Conceptual, Logical, and Physical), Data delivery, and Business intelligence. Participate in research and method selection for solutions, being actively involved in design meetings with stakeholders
Designs and builds the data architecture and data integration layers
Leads in data quality analysis / data profiling, to produce a data quality assessment (and baseline)
Respond to ad hoc analysis requests for data and analytics needed by senior management
Bachelor's degree in Data Base Management/Systems Engineering or related Engineering. Specialization, Masters or PhD level degree is desirable. Additional formal studies will be a plus
SSIS (SQL Integrating Services) / SQL / PL SQL language, MS SQL Server, Windows Server and Unix/Linux Operating Systems, Programming Languages (Minimum of 3 to 5 years of related work experience)
Experience working on Service Operations with a high customer orientation is strongly preferred
Ability to effectively communicate design proposals and architectures, and negotiate options at senior leadership levels
Expert knowledge and experience with data modeling, data warehousing, dimensional modeling, big data solutions and ETL development
Solid track record of transforming concepts and requirements into workable products and solutions is a must
Expert knowledge of software development life-cycles with its principles, practices, strategies and tactics
Excellent project management skills and ability to execute on multiple projects simultaneously
Familiarity with the “Knowledge Hierarchy” / “Data, Information, Knowledge, Wisdom pyramid”
Data literacy: Finding and managing data, cleansing data, appropriately address extremes, outliers, etc., manipulating data
Mathematical reasoning; Competent in the interpretation of numeric data, understand and/or practice statistical principles
Advanced verbal and written communication skills for writing reports/proposals and making presentations, in particular the ability to clearly and effectively communicate technical results to a non-technical business audience
Ability to work independently under a fast-paced environment, comfortable to deliver results under pressure
Strong work ethics and collaborative attitude
Self/starter Innovative thinker with analytical/problem solving skills

Data Architect Resume Examples & Samples

5+ Years Data Architecture/Modeling Experience using Erwin, PowerDesigner, or ER/Studio
3+ Years Data Profiling and Analysis Experience using Informatica or similar data profiling tool
3+ Years Information Integration Experience using leading ETL and/or Data Virtualization tool(s)
3+ Years of Experience with Collecting and Analyzing Business Requirements and Process Designs
Influences others without authority
Communicates in professional context
Navigates large organizational landscapes
Presents ideas and concepts effectively
Partners closely with stakeholders and peers
Demonstrates a sincere sense of urgency
Understands the “big picture” and constituent parts
Collaborates effectively with others
Information Architecture
Data Virtualization/Abstraction/Federation
Data Governance & Standards
Data Cleansing
Cisco Information Server (aka Composite)
EA Sparks
ArchiMate

Data Architect Resume Examples & Samples

Provide analysis, design, training, maintenance, tuning, documentation, and implementation of enterprise class logical data models and physical database objects
Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree in computer science or equivalent with two to four years in a senior database analyst or architect position; OR appropriate combination of education and experience
Must have the ability to manage multiple projects and requests at one time
Experience with Healthcare Data Warehousing

Data Architect Resume Examples & Samples

10+ years’ experience in designing high performing and scalable data models
1+ years of experience in Financial Services industry
1+ years of experience in understanding mainframe technologies

Data Architect Resume Examples & Samples

Design and develop a distributed data processing platform using Big Data technologies
Provide ongoing maintenance, support and enhancements in existing systems and platforms
Collaborate with product managers, data scientists, business users and other engineers to define requirements and design solutions
Influence the team by providing recommendations for continuous improvement
Mentor other engineers in the team regarding technology and best practices
10+ years of hands-on experience working with software development and enterprise data warehouse solutions
4+ years of hands-on experience developing a distributed data processing platform with Big Data technologies like Hadoop, Hive, Pig, Oozie, Map Reduce, Spark, Shark, Kafka, Flume, etc
Experience with commercial ETL platforms like Informatica, SSIS, Talend, etc
Experience working with, processing and managing large data sets (multi TB scale)
Experience with test driven development and automated testing frameworks
Capable of delivering on multiple competing priorities with little supervision

Data Architect Resume Examples & Samples

Lead in the analysis and development of logical and physical data models
Understand and communicate how data models can be used to support, interact and integrate with other information systems
Oversee, direct and/or provide consultation on implementation of data management technologies and platforms
Lead the analysis of current data management technologies and platforms to detect critical deficiencies and recommend solutions for improvement. In addition, lead the impact analysis of new technologies and market trends on the current data architecture

Data Architect Resume Examples & Samples

This role will provide opportunity to lead following activities
Hands on partnership with delivery teams for development of International Enterprise Database and Product Data Infrastructure to support global markets
Conducting POCs for implementation of new technology concepts within Big Data and Next Gen data Architecture space
Partnering with senior business and IT leaders to shape the agenda for business technology programs and for adaption of new architecture within the scope of business funded programs
Global implementation of new CRM solution
Provides the architectural leadership in shaping strategic, business technology projects, with an emphasis on application architecture. Utilizes domain knowledge and application portfolio knowledge to play a key role in defining the future state of large, business technology programs
Utilizes a broad and deep understanding of the competitive landscape and corporate and business unit strategies to provide context for architectural decision making
Within area of responsibility, continuously pursues strong knowledge of business technology solutions and maintains understanding of applicable technologies, tools, and services
Establishes working relationships with appropriate business technology solution providers (e.g., Salesforce, Charles River, Reuters, etc.)
Ensures application implementation solutions support the business objectives (asset gathering, cost optimization, client loyalty improvement), as appropriate
Establishes relationships with senior IT and Business leaders for the purpose of advancing proposed application architecture solutions
Minimum five years relevant work experience

Data Architect Resume Examples & Samples

Lead the strategy, architecture and process improvements for data architecture and data management, balancing long and short-term needs of the business
Define and maintain a data information architecture and roadmap
Provide architectural advice and recommendations specific to internal
Expertise and demonstrated skills in design and implementation of an enterprise data model, metadata solution, data security solution, data management solutions and associated tools
Expertise in Data Warehousing, Data Management, Big Data, Analytics technologies such as Oracle, Teradata, SAP, RedShift or Hadoop
Solid skills in multiple areas of technology such as system design, database design and languages such as Java, Python, Node.js
Solid skills in Internet technologies such as IaaS, PaaS, SaaS
Advanced expertise Analytics and working understanding of technologies such as SPSS, R, SAS, Tableau, Microstrategy
Strong ETL background using technologies such as DTS, SSIS (SQL Server Integration Services), Pentaho Data Integration, command line and other technologies
10+ years technical, enterprise or data architecture experience
Strong database design and development experience working in collaboration with full-stack developers and analytics teams
Experience in NoSQL technologies a plus
Track record of successful large scale technical implementations
Experience in successful collaboration with technical teams, functional business lines and third party vendors/contractors

Data Architect Resume Examples & Samples

Define the overall consolidated data architecture for the BU data exchange
Design processes for data governance and authorization
Define metadata standards, tooling and procedures for the data analytics team
Develop processes for quick data ingestion and extraction
Architect and design business intelligence solutions, configuring BI services. Responsible for leading the strategic design and maintenance of business intelligence applications
Design dimensional data modeling to suit BI requirements. Ensures that business rules are consistently applied across different user interfaces to limit the possibility of inconsistent results
Design and direct the ETL processes, including data quality and testing. Lead data integration in aggregating data from multiple sources into various data stores and warehouses, scheduling data updates and extracts
Evaluate, recommend/select data warehouse technologies (e.g., ETL, DBMS, Data Quality, BI)
Design and direct the information access and delivery effort for the data warehouse
Define and direct the implementation of security requirements for the data warehouse
Deploy reports, enhancements. Identifies, researches, and resolves technical problems
Provide oversight and mentoring to the BI Development team. Lead and assist programmers, leads, and analysts in designing solutions, resolving design problems
Works on internal projects to enhance productivity through ongoing tools development and leveraging new technologies
Incorporate appropriate changes from production or test regions into the data warehouse environment
Develop methods of ensuring data incompatibilities among systems are systematically eliminated
Monitor industry trends and identify emerging technologies that should be evaluated and possibly adopted
Ensure that the use of business intelligence applications enhances business decision making capabilities
Experience working in a matrixed organization
Experience working with sensitive and/or regulated data (PII, PHI, Credit Card Information) and understanding of constraints and limitations of its usages
Experience in a tax management services and employment / income verifications environment
Experience with Hadoop and related technologies
Experience with Microsoft SQL, Oracle RDBMS required
Experience with Informix a plus
Hands on C# .NET experience

Data Architect Resume Examples & Samples

Bachelor’s Degree in Computer Sciences, Information Systems or related fields
10+ years of intense technical experience in the areas of data architecture, data modeling, data management, data engineering and/or data governance
Excellent communication (both written and verbal), interpersonal skills and experience in presenting to business and technical team including executive management
Deep understanding of relational and dimensional database domains as well as extensive knowledge of IT infrastructure, application programming, and web and software applications
In-depth hands on experience with one or more of the following are highly desired: MS SQL Server, Oracle, MYSQL, SSIS, SSRS, Informatica, EDI and Web Services
Strong background in master data management, metadata management, information life cycle design and development
Understands the range of options and best practices for common ETL design techniques such as change data capture, key generation and optimization
Exposure to MPP Databases like Netezza a plus
Experience and exposure to Hadoop and/or NoSQL environments a plus
Highly motivated self-starter, detail and quality oriented and ability to handle multiple competing priorities

Data Architect Resume Examples & Samples

Establish standards, best practices and processes for the data architecture practice by working with stakeholders
Facilitate group discussions to obtain business and technical requirements, clarify business rules for data design requirements
Perform logical data modeling using both relational and dimensional modeling techniques as appropriate
Design core database assets, Provide data architectural services and ensure consistent standardized solutions
Align with and collaborate in the refinement of data architecture team guidelines
Determine proper Surrogate Key / ID management strategy
Minimum of 7+ years working with multiple DBMS (SQL Server, Oracle, DB2, Teradata, etc)
2+ years of experience in data warehousing with designing multi-layered data warehouses and data marts using both relational and dimensional modeling techniques
2+ years of experience in integrating data both at logical & physical levels
2+ years of experience with Erwin and ModelMart or equivalent tool
Experience building ODS type solutions a plus
Strong experience with data warehouse usability design and experience with internal BI tools
Proven experience to elicit requirements and developing constructs in conceptual and logical data models to support business requirements
Experience in several Surrogate Key / ID management strategies utilized in analytical environments
Familiarity with the regulatory environment affecting data in a Health Care Services environment (e.g., HIPAA 5010)
Experience with UHG or other healthcare systems and knowledge of claims, eligibility, care management, and providers
Process modeling experience
Understanding of Big Data paradigm and NoSQL databases
Experience working with Agile teams
Demonstrated ability to translate business needs into data solutions
Thorough understanding of data architecture and data modeling concepts
Experience working in a virtual team environment over multiple locations, including off-shore
Candidates need to work well in extended project teams with little oversight
Prior experience with Master Data Management, Meta Data Management, and/or canonical modeling
Experience using native SQL against relational databases
Experience with OLTP design and star schemas
Proficiency in MS Office (Word, Excel, Outlook, PowerPoint, Access, Visio)
Strong consultative and presentation skills
Assertive (yet diplomatic) personality and the ability to handle change
Strong conceptualization skills

Data Architect Resume Examples & Samples

Development and maintenance of various data subject area data models (e.g. Provider, Customer, Individual, Clinical, Claims)
Requirements gathering sessions
Undergraduate degree in applicable area of expertise or equivalent work experience
Minimum of 5 years of experience in Data Architecture and Database design
Minimum of 5 or more years of data modeling experience
Minimum of 3 years of experience as an Enterprise Information Architect experience
Minimum of 3 years of experience in building complex, large scale logical data models with ERwin or E/R Studio
3+ years of experience with database technologies (e.g. Oracle, DB2, SQLServer)
Experience in formal delivery methodologies and platforms as they relate to enterprise information architecture, including hands on technology experience
Experience with enterprise Information Integration
Experience in data quality and data integration
Experience with large scale data remediating projects
Experience in Healthcare Data

Data Architect Resume Examples & Samples

Contribute both as an individual contributor as well as manage and coordinate architecture development across multiple cross functional teams
Experience designing horizontally scalable system architectures designed for high volume transactional rates and data flows
Experience with infrastructure components such as LDAP, Single Sign On, SQL and NoSQL database technology, and virtualization technology used to manage IaaS and PaaS infrastructures
Knowledge of engineering best practices for code refactoring, code reviews, industry standard design patterns, continuous integration, test driven software development, agile development, and application security
Responsible for the overall architectural design of a highly scalable IoT platform and responsible for ensuring that the platform meets or exceeds the expected transactional volumes
Experience with scalable cloud technology stacks such as Kafka, Storm, Spark, HBase, MongoDB, Cassandra, and CEP systems
Mentor teams in best practices around architecture practices and patterns
Experience developing applications in Java/JEE
Research and understand new technologies, industry trends, and methodologies
Strong analytical and problem solving skills and excellent written and verbal communications
Strong customer focus. Ability to interact with customers
Prototype theoretical concepts and deliver reference architectures, comprehensive studies, guidelines and recommendations for development team to follow and implement
Experience developing, designing and operating cloud based distributed platforms that span geographic regions a plus
Bachelor degree in Engineering. Masters degree in Engineering preferred. Prior experience (7 - 10 years) with Java software development
A minium of 3 years of experience in the role of an Architect at a large scale, software-centric enterprise
Experience designing and building applications from the ground up is preferred
5 years development experience utilizing distributed processing solutions (e.g. Hadoop), distributed storage solutions (e.g. Cassandra, HBase), real-time and post analytics processing architectures, application server platforms, clustered infrastructures, distributed queuing technologies (e.g Kafka, Kestrel, RabbitMQ), and distributed caching (e.g. memcached)

Data Architect Resume Examples & Samples

Formulate solution options and recommendations for the Enterprise Data Warehouse
Develop reporting and analytical data models to meet the needs of the organization
Provide technical knowledge, project management and leadership to implement the solution
Create and maintain documentation for the Enterprise Data Warehouse environment
Knowledge sharing across the Enterprise Reporting team, the broader IT organization and the business as necessary
Data mining, data profiling and business support of data analytics

Data Architect Resume Examples & Samples

Independent worker able to manage multiple projects and priorities
Strong analytical and communication skills with the ability to compile and present information
A high level performer and self-starter with a strong customer service focus
Comfortable working with clients and groups
Ability to perform work that requires practical experience and training
Ability and desire to mentor others

Data Architect Resume Examples & Samples

Ability to effectively diagnose, isolate and expediently resolve complex problems pertaining to data infrastructure
Ability to develop methods of ensuring that the data incompatibilities among systems are systematically eliminated
Strong experience in Oracle, MYSQL, POSTGRES and SQL Server databases
Strong experience in the following: database engineering and designing, SQL, PL/SQL, Linux/Unix Scripting and database performance tuning backup
Proficiency in relational database design, data warehousing and database administration
Experience in database design tools such as Erwin, Oracle Designer, Visio
Experience in TOAD, as well as other Database Management tools
Experience in configuration management and code version control tools
Must have experience with Linux and Windows

Data Architect Resume Examples & Samples

Understand and apply industry best practices to the full life cycle of metadata development, including business process models, information assets, business terms, conceptual and logical data models, and data lineage
Provide data architecture support to enterprise data management efforts, such as the development of the enterprise data model and master and reference data, as well as support to projects, such as the development of physical data models and data warehouses
Define an approach to enable policy/rule/attribute-based data access and dissemination capabilities, enabling advanced data at rest and data in transit security features
Organize information by translating user behavior into business rules, events, and structures that enrich master data
Design and modeling of master data repositories

Data Architect Resume Examples & Samples

Ability to lead business information modeling for large, complex projects and ensure that project information conforms to corporate information architecture standards
Work with business clients to analyze business information requirements and translate into logical and physical model designs
Collaborate with application delivery teams including business clients, business and data analysts, ETL developers, DBA's, and report developers
Develop frameworks to define relationships and integrate models across all modeling levels and disciplines
Develop technology standards that support modeling, including best practices and guidelines
Develop relationships and processes between modeling and systems development lifecycle
The candidate must have, at minimum, a Bachelors degree, and 7 to 9 years of related work experience including experience in the health care industry
Four (4) years’ experience in data or information modeling
Experience setting data architecture standards and governance model
Experience in the different modeling levels and disciplines including enterprise and solution modeling, business, application, and data modeling including conceptual, logical, and physical data models
Experience in different modeling languages and notations – Information Engineering, Unified Modeling Language (UML), Extensible Markup Language (XML), etc
Experience in developing models supporting data at rest (data warehouses, data marts, operational data stores) as well as data in motion (services, messages, documents)
Experience in developing enterprise data models, familiarity with Data Modelling standards including naming conventions.and
Experience with tools such as ERwin, Rational Software Modeler/Architect, or Enterprise Architect
Experience with ETL tools such as Pentaho
Strength in SQL, PL/SQL and HQL
Experience with RDBMS such as Oracle, DB2, and BIG DATA HADOOP, HIVE
This position requires demonstrated initiative, sound judgment, effective decision-making, and excellent oral and written communication skills
Excellent problem solving, communications, and presentation skills
Strong customer focus with a demonstrated ability to work closely with technical teams and business users alike
Experience with related data management disciplines and technologies, such as master data management, data quality, data integration, metadata, data warehousing, and data virtualization
Familiarity with healthcare technology standards
Experience in a healthcare industry, preferably insurance

Data Architect Resume Examples & Samples

Provide technology leadership and delivery
Function as team leader with accountability
5-8 years relevant experience or Master’s

Data Architect Resume Examples & Samples

Strong technical skills with all data warehousing technologies (e.g., ETL, ODS, DBMS, BI)
Strong technical skills and experience in selecting and modelling logical data models into the appropriate physical store ( SQL, No SQL, Hadoop, )
Microsoft SQL server
Strong experience working with Application development teams to select the appropriate data store and producing an appropriate data model
Strong experience of requirements analysis, modelling and producing fit for purpose visualisations
Modelling of transactional or analytical systems
Ability to support and build data based applications
Knowledge of BI and analytics, as well as of structured data, such as entities, classes, hierarchies, relationships and metadata
Knowledge of modelling structured, Semi-structured and non-structured data
Conceptual, logical and physical modelling for rationalising data objects

Data Architect Resume Examples & Samples

Design distributed computing systems to support data science initiatives including descriptive, predictive, and prescriptive analytics
Assess, document, and translate goals and problem statements into use cases for engineering development and implementation
Monitor and optimize performance
Must have Big Data experience
BS or higher in Computer Science or Software Engineering
Must have big data experience
Over six years of software development experience, preferable in data analytics / science space
Good knowledge of Big Data frameworks, concepts, and tools such as Hadoop, HDFS, Hive
Knowledge of languages, tools, API; Java/J2EE, JS, JQuery, JSON, Bash, Python, Git, Linux/UNIX
Experience in designing and querying SQL and NoSQL databases such as PostgreSQL, MySQL, Oracle, Couchbase
Experience with building stream-processing systems using solutions such as Storm or Spark-Streaming
Experience working on data products is a plus
Knowledge and experience of Big Data ML toolkits, such as Mahout, SparkML, or H2O Cloud computing ecosystems including Amazon Web Services, BigQuery, Azure, etc, Messaging systems, such as Kafka or RabbitMQ
Good multi-tasking skills with the ability to meet deadlines
Meticulous and detail- oriented
Strong focus on customer satisfaction
Ability to work effectively in a fast-paced environment and meet short-deadline projects
Great balance between offering quick solutions and writing maintainable code
Personal integrity and accountability

Data Architect Resume Examples & Samples

5 Scope Management: In case of changes in the project, conduct an impact analysis on the cost and other organizational parameters and report the impact analysis of such change to the customer
Perform project estimation reviews and get approval from customer
Identify Project level tools or other items to be built for this project

Data Architect Resume Examples & Samples

Gather data with appropriate tools and optimized processing technique
Lead Data Strategy development and collaborate on successful execution
Develop, socialize and communicate Data Architecture Models
Build and maintain actionable data roadmap that enables business vision
Establish sources of truth and processes for effective quality
Help determine Data Tools and Technology direction
Support developers in schema-design, data-modeling and data strategy for applications and services
Work with business owners to fully understand how data drives business issues and opportunities
Support successful project execution
Working knowledge of Big Data concepts and tools
5+ years of DB development experience with more than 1 DBMS
Proficient Data Modeling
Bachelor's Degree (or equivalent experience)
3+ years experience with ETL tools (Informatica, SSIS, Data Stage) Experience working in a Healthcare Industry
Experience working in a consulting organization or consulting capacity
NoSQL experience
TOGAF training and concepts
Ability to convey complex architectures visually with tools like Microsoft Visio, LucidChart, etc
Candidates located in or near Minnetonka, MN

Data Architect Resume Examples & Samples

Profile server resource usage, optimize and tweak as necessary
Provide guidance and expertise on tuning
Help engineering teams understand the proper data management platform solution
8+ years of experience in Data Architecture with focus on one or more of the DBMS's: Oracle, SQL Server or MySQL
2+ years of work experience with NoSQL solutions or experience with Big Data
Database development experience including query optimization, performance tuning and index utilization
Understanding of the DBMS engine internals
Understanding of industry standard data architecture best practices
Familiarity with Agile Development methodology and SDLC
Experience in the creation or enhancement in a database Center of Excellence
Familiarity with Java or .NET software design
Experience in leading small teams, workgroups, or projects
Proficient understanding of code versioning tools such as Git / SVN
Experience with integrating database into continuous integration/deployment (CI/CD)
Commitment to continuous improvement in methodologies as applied to database design and development
Must have excellent communication (verbal and written), interpersonal, analytical and problem solving skills
Ability to communicate effectively with geographically dispersed teams
Must have ability to manage multiple projects at a given time
Must be self - starter

Data Architect Resume Examples & Samples

Promote and ensure the use of enterprise data as a bank-wide asset
Provide tools, services and capabilities that enable the building and maintaining of a robust data architecture
Gather, retain and share the bank’s intellectual property around data, including definition, usage, storage and distribution
10-15 years industry experience with any mix of the following

Data Architect Resume Examples & Samples

Develop and design data solutions for complex projects
Deliver data models supporting design conforming to an enterprise conceptual model
Align solutions to roadmaps for existing data mart and data management solutions across multiple business lines
Contribute to data strategies for the migration of legacy applications
Develop data standards and promote their use
Contribute to data & data tool standards and governance processes
Maintenance of data dictionary and/or metadata repositories
Mentor project team members in the development of complex ETL solutions
Partner with other data architects to influence and support local data needs
Present and socialize data strategy with business and IT leaders

Data Architect Resume Examples & Samples

Research and evaluate potential technology solutions to meet business needs
Conduct and lead white-boarding sessions, workshops, design sessions, and project meetings as needed, playing a key role in client relations
Architect, design, implement end-to end BI solutions and the required supporting architecture (DWH)
Ensure best practices and standards of DWH/BI solutions
Lead developers in data integration, information presentation, and delivery
Create functional and technical documentation related to Data Architecture and Business Intelligence solutions
6-8 years of progressively responsible, post-baccalaureate experience in Business Intelligence, Data, and Database architecting, designing, developing, testing and implementing
Experience in foundational Data Management domains (Master Data Management, Data Governance, and Data Integration)
3+ years of experience with more than 1 BI tools such as Tableau/QlikView/Cognos
5+ years of experience with more than 1 Data Integration tools such as Informatica, SSIS, Python, Ab Initio
5+ years of experience with more than 1 Database tools such as Oracle/SQL Server/Teradata/MySQL/DB2/Erwin
3+ years of experience leading BI/DW implementation teams
Strong SQL and physical data modeling skills
Strong written/oral communication and presentation/interpersonal skills

Data Architect Resume Examples & Samples

5 years of experience creating ERD, logical and physical data models, and other documentation experience on data warehouse design & implementation projects
Embaracedero Toolset
Relational and Dimensional Modeling

Data Architect Resume Examples & Samples

Determines business information needs and identifies system requirements
Analyzes business intelligence data and provides reports
Acts as liaison between information technology and business units
Ensures data accuracy
Requires a bachelor's degree in area of specialty and 4-6 years of experience in the field or in a related area
A wide degree of creativity and latitude is expected
Analyzes business intelligence data and makes recommendations for data warehouse growth and integration for the enterprise
Works with IT and business customers to develop requirements for designing the data warehouse architecture
Provides support and technical guidance to ensure architecture and framework are aligned with BI application needs
Develops various, distinct and multiple technical application designs
Prepares technical design documents and blueprints for applications
Facilitates in application design reviews and walkthroughs
Interprets application services such as API; integrates them with technical design
Creates and evaluates technical alternatives for complex applications
Explores and evaluates application design considerations for multiple technologies

Data Architect Resume Examples & Samples

Define core and support technology, data entities, business functions and/or subject areas that transcend organizational and functional boundaries
Create performance metrics and traceability maps to determine the effectiveness of architecture solutions and facilitate governance
Subject area expertise and 5-6 years of hands-on experience in relevant area (Data Architecture)
Good communication skills (both written as well as verbal)
Ability to comprehend complex data architecture flows and identify the potential architecture gaps
Ability to work as a team/good teaming skills

100

Data Architect Resume Examples & Samples

Set the parameters for and develop a coherent DM&T Architecture
Ensure that individual project solutions are in alignment and enable this coherent Architecture
Lead the development of related Roadmaps
Introduce and help operationalize new tools and automation
Author and own a comprehensive Enterprise analytical framework
Have a good understanding of the Enterprise (across projects) Logical Data Models
Reverse engineer legacy data models
Create and champion standards
Deep knowledge of Business Intelligence and Data Warehousing concepts especially for high integrity, sensitive data
Deep knowledge of various types of data. Transactional, Master, Reference, Dimensional…
Develop templates for Project (Solution architecture and design) Solution Design and Detail Design
Lead investigations for strategic issues
Lead Education and Training sessions for DM&T
Good comprehension of translating (any of the above) into a plan including timelines and budget
Develop and present to executive, management and technical audiences
Further DM&T’s accountability, transparency and integrity
Strong Communication and passion for writing/documenting
Leadership, drive and passion to complete work related expectations

101

Data Architect Resume Examples & Samples

Define, own and evolve the target data architecture for TalkTalk gaining support and buy-in from key stakeholders
Develop relationships with key business and technology stakeholders in order to influence and drive the data agenda in TalkTalk
Create and maintain “blueprint” documentation that articulates the data architecture vision for TalkTalk
Support and influence the business change function in the creation of suitable programmes of activity to deliver an architecture roadmap and help ensure progression towards delivery of the target data architecture
Support and ratify solution design activities to ensure solutions are compliant with relevant policies, principles and standards
Define and assure compliance with data architecture standards
Maintain up-to-date knowledge on industry trends and best practices to provide data management and information exploitation thought leadership in TalkTalk
Ensure that the data architecture is aligned with business, technology and data strategies
Liaise with other teams both within and outside Technology to ensure that their requirements are met by the architectural designs and that the architecture is cost-effective to develop, maintain and operate
Supplier engagement in the selection and procurement of product solutions as part of the architectural portfolio
Establish and maintain sensitive data risk assessments

102

Data Architect Resume Examples & Samples

Maintains and is accountable for the vision of all enterprise data solutions and multiple parallel data services development initiatives Maintains a strong understanding of the business or function for which the data service or data tool / product is designed so that projects, systems, or processes are aligned
Helps define key technology initiatives that support business drivers and strategic direction for an unified information architecture (UIA) Establishes and maintains data governance, protecting the company’s primary asset (information) in collaboration with the Data Management and Data Security/GRC teams
Drives the overall direction of HLI's information-based projects including scope, client services, and support needs
Develops and facilitates strategies in the area of system, data, application and infrastructure integration, ensuring that data interfaces are properly identified, designed, implemented and maintained
Plays key role in building and maintaining the enterprise architectural platform that enables change-based growth
Communicates key business decisions and organization goals to systems teams, internal and external as part of the daily SCRUM activities and weekly Storytime / ARB meetings
Communicates and evangelizes technical decisions to non-technical stakeholders, other technology stakeholders and senior management
Understands the company’s Annual Operating Plan and 3-5 year strategy to provide portfolio and programmatic direction
Provides technology leadership to team; directs the day-to-day activities of the technical or program teams by providing SRUM Master support
Develops and maintains a customer-focused, agile, and accountable team view
Accountable for and manages adherence to enterprise information architecture and design guidelines
Ensures delivery of technology solutions, documentation artifacts and programs
Remains abreast of technology developments and proactively aligns project goals with strategic business goals
Communicates with staff or clients to understand specific product, functional, or non-functional requirements
Collaborates with engineers or software developers to select appropriate design solutions or ensure the compatibility of system components
Assists with design specifications for end-to-end applications, infrastructure, installation instructions, and other system-related information for end-to-end infrastructure
Provides mentoring as a cornerstone of career development for all key direct reports and technology team members
Works with Sourcing to identify, select, and manage platform vendors and consulting services
Work collaboratively with the Software Engineering and Bio Science Teams to implement commercial clinical grade solutions
Defines best practices and governance principles, while working with business stakeholders to ensure the clinical and corporate solutions meet data delivery and quality SLAs / KPIs
Ensures that critical application and information assets modeled as part of any project are represented in the enterprise Business, Application, Information and Technology architectures (BAIT) and follow the design guidelines and requirements of EA
A bachelor's or master's degree in computer science, bioinformatics, information systems or other related field; or equivalent work experience
Hands-on experience with designing and implementing distributed architecture systems to tera/petabyte data handling using OpenSource software
Expert knowledge in modern distributed architectures and compute / data analytics / storage technologies on AWS or similar platforms such as GoogleCE is required
Understanding of architectural principles and design patterns / styles using parallel large-scale distributed frameworks such as Hadoop / Spark
Experience working with Agile development methodologies and tools (Jira, Confluence) in a compliance driven environment Hands-on knowledge with service-oriented / micro service architecture implementations (service bus, event processing, message queuing and workflow automation) including frameworks such as AWS, Informatica and various OpenSource solutions
Strong understanding of HDFS and other distributed file systems along with varying file formats (i.e. Parquet) as well as
Deep knowledge of RDBMS (MySQL, PostgreSQL, SQL Server) and NoSQL databases such as HBase, CouchBase, Vertica, MongoDB, DynamoDB, Cassandra

103

Data Architect Resume Examples & Samples

Apache Hadoop, PostgresSQL, MYSQL or VMware or Oracle DBMS knowledge
Possess knowledge of SQL Server and its tools including the facets of successfully administering a wide range of simple to highly complex environments
Knowledge and understanding of all aspects of database tuning: software configuration, memory usage, data access, data manipulation, SQL, and physical storage
Experience with development and execution of database security policies, procedures and auditing-experience with database authentication methods, authorization methods, and data encryption techniques
Must work well in a team environment as well as independently
Ability to work with the other technical members of the team to administer and support the overall database and applications environment
Experience working with large unstructured data sets
Cloudera Certified Professional (CCP): Data Scientist
CCSHB: Cloudera Certified Specialist in Apache HBase

104

Data Architect Resume Examples & Samples

Design, Architect and implement scalable solutions including
Bachelor degree in Computer Science, Mathematics, Engineering or related field highly preferred
8+ years of experience with comprehensive understanding in databases and analytics, including relational databases (e.g., SQL Server, MySQL, Oracle), data warehousing, big data (Hadoop design patterns, Spark), noSQL and business analytics
8+ years of success in consultative/complex technical sales and deployment projects in both B2B and B2C data environments, including oversight experience on major transformation projects and successful transitions to implementation support teams
Previous work with Big Data technologies including Hadoop, Cascading and Spark
Prior work experience in a DBA/Consulting/Architecture position within a software and/or services company such as Amazon, Google, IBM, Softlayer, Oracle, T-Systems, Wipro, CSC, HP, Infosys, ServiceNow, Dell, TCS, Rackspace and Cognziant would be highly valued
Proven track record of building deep, technical relationships with senior-level executives and growing cloud consumption share in large or highly strategic accounts
Demonstrated experience as an authority figure within a technology focused team, capable of mentoring and growing other engineers and developers
Hands-on knowledge of business intelligence systems (dimensional modeling, data mining, predictive analytics, etc.)
Hands-on knowledge of development in Python and Java
Advanced presentation skills with a high degree of comfort with both large and small audiences.A client-focused approach with an outstanding reputation for customer support as demonstrated by a flexible and enthusiastic approach to work assignments and new learning
Deep understanding of cloud computing technologies, business drivers and emerging computing trends
Other skills necessary to handle complexities of technological infrastructure (strong attention to detail, logical thinking, out-of-the-box problem solving, etc.)

105

Data Architect Resume Examples & Samples

Contributes to highly complex projects that require in-depth technical knowledge in data architecture & engineering (RDBMS, No-SQL and Big Data spaces) and data ingestion/ETL migrations
Provides architectural support across teams. Leads analysis and design activities using proven technologies and vested approaches and methods
Communicates across direct organization and presents to senior leaders on the technical strategy and approach
Contributes to the overall technical strategy and key programs through hands-on development and working on proof of concepts on new tools & technologies
Connects the dots across technologies and develop cross-technology solutions; works on cross-functional projects/teams to deliver technology solutions for the business
Ability to create data engineering solutions and provide guidance to development teams on the implementation of new and existing standards, technologies, tools, services and practices
Diagnose/Solve various problems in production/test/development environment in a fast-paced environment
Bachelor’s/Master’s degree in Computer Science/Information Technology or related technical discipline
Minimum 6 years of working experience in RDBMS (Oracle) systems, No-SQL (Cassandra, Mongo DB) databases and Big Data (HDFS, Spark, Hawq, et) tools and technologies
Strong knowledge on data ingestion/ET migration tools and technologies
Deep understanding of web application space and SOA architecture
Good experience working on agile projects
Strong interpersonal and written communication skills
Hands-on experience working on UNIX / LINUX servers
Exposure to DevOps processes
Exposure to domain knowledge & processes in Aviation CSA space
Delivering solutions in FastWorks model

106

Data Architect Resume Examples & Samples

Work with Sr. Manager and Director to define strategic and tactical solutions based on departmental objectives
3 Interpret and deliver plans that specify strategy and improve data integration, data quality and data delivery in support of big data business initiatives and roadmaps to achieve results
4 Collaborate with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization
Articulate architectural differences between big data solution methods and the advantages/disadvantages of each
Set standards for data management and conceive projects needed to eliminate the gap between current state and future goals
1 10 + years experiences in enterprise software development with specific focus on data management
Ability to think strategically and relate architectural decision/recommendation to business needs
Working knowledge in how to assess performance of data solutions, diagnose problems and familiar with industry standard tools
In-depth understanding of data warehouse concepts and implementation techniques; extensive experiences in challenges, governance and best practices in dealing with very large data repository in a large enterprise
Strong knowledge and experience with big data components such as Hadoop, HDFS, Spark, Scala, Pig, Hive, Sqoop, Flume, HBase, and MapReduce
Extensive experience with logical data model design Big data phycicial and Hive data model design including performance optimization, and scalability
Development experience of NoSQL databases, such as Cassandra, HBase, etc
Excellent interpersonal, team management, facilitation and communications skills; must be able to communicate/present effectively at all levels of the organization
Experience with analyzing large set of data using BI tools such as Tableau desktop and IBM cognos

107

Data Architect Resume Examples & Samples

Analyze across multiple data domains and define strategies to reduce data redundancy, improve data availability, and accessibility by partnering with the technical teams and deliver a maintainable and reusable data architecture
Govern data decisions related to data model design, data access patterns, and data services
Design and implement data solutions using Master Data Management principles and tools
Partner with leaders and team members across the business to design and institute practices that will drive the appropriate levels of rigor and quality in enterprise information architecture
Develop and maintain controls on data quality, interoperability and sources to effectively manage corporate risk
12+ years of hands on experience in Data Management/Data Architecture/Application architecture/Data Development
5+ years of experience working as a Enterprise Data Architect with current information technologies and ability to implement into the business function
3+ years of hands on experience working with Data Management, Data Architecture in a big data environment
Proficiency working within the Hadoop platform including Kafka, Spark, Hbase, Impala, Hive, and HDFS in multi-tenant environments
Experience in integrating complex, corporate-wide processes and data models
Experience in full life cycle architectural guidance

108

Data Architect Resume Examples & Samples

Utilize syndicated research tools to retrieve various types of data (macroeconomic, marketing, business, etc.)
Build applications writing SQL and/or SAS scripts to manipulate data and / or writing specific instructions for an off-shore programmer to write the scripts
Meet project timelines and deliverable schedules

109

Data Architect Resume Examples & Samples

Specify overall data architecture for all areas and domains including Data Acquisition, Data Integration, ODS, MDM, Data Warehouse, Data Provisioning, ETL, and BI
Responsible for developing and supporting a data model and architecture that supports and enables the overall strategy of expanded data deliverables, services, process optimization and advanced business intelligence
Partner with business subject matter experts, system analysts, data/application architects and development teams to ensure data design is aligned with business strategy and direction
Deliver solutions in a complex production environment with concurrent considerations such as
Bachelor’s Degree in Computer Science or other related discipline
10+ years of proven hands on experience in data architecture, data modelling (relational and dimensional), data architecture and metadata management
7+ years of experience in data modeling tools such as Embarcadero/Erwin/ER Studio or comparable toolsets
5+ years of hands-on experience with relational databases (DB2, Oracle etc.) and columnar databases (Vertica etc.)
Strong experience with commercial ETL platforms with in-depth knowledge and understanding of ETL methodology & design supporting data transformations transformation layer
Experience in In-Memory New SQL, NoSQL and Hadoop Hive/Sqoop/Scala/Spark
Expert level skill in modelling, managing, scaling and performance tuning of high volume OLTP, OLAP and data warehouse environments
Advanced knowledge of data management systems, practices and standards
Experience developing highly performant distributed data processing platform with Big Data technologies
Experience in the high paced energy of startups as well as experience in the structured world of larger companies
Proven track record of full life cycle successes from inception to successful completion and production support
Understanding of systems design and technical concepts in order to communicate effectively with other cross-functional teams
Willing to strive for the ideal design process while still working within the framework of the organization, project, and environment
Strong knowledge and experience with Agile/Scrum methodology and iterative practices in a service delivery lifecycle is a PLUS
Strong estimating, planning skills and proven ability as a problem-solver
Ability and desire to thrive in a proactive, high-pressure, client-services environment
Experience with machine learning, statistical techniques, text mining, natural language processing, computational linguistics and information retrieval
Experience with different architecture frameworks preferred – TOGAF, Zachman
Retail or Customer or marketing analytics background preferred

110

Data Architect Resume Examples & Samples

Background in computer science, mathematics or similar quantitative field with a minimum of 10 years professional experience
Database development and database administration experience
Data architecting, munging and Extract Transform Load (ETL) automation
Scripting language and data visualization experience using Tableau
History of driving process improvements, system automation and world class reporting
Experience leading complex projects and developing business solutions from inception to deployment
Ability to deliver timely and accurate work product in a fast-paced and dynamic environment
Ability to deal with ambiguity, work independently, be a self-starter
High level understanding of statistics and machine learning a plus
High level knowledge of GAAP, SOX, general ledger, finance and accounting processes a major plus
Software development or web development skills a plus
Most importantly, a sense of humor and an eagerness to learn

111

Data Architect Resume Examples & Samples

Bachelor's Degree in Engineering, Computer Science, or Information Technology from an accredited institution
Minimum of 3 years of experience in data warehousing or storage experience
Minimum of 3 years of experience in data base administration
3 years’ experience setting up new data warehouse structures

112

Data Architect Resume Examples & Samples

8 years of experience designing and developing data solutions for reporting
Skills with Oracle and the SAP Business Intelligence Suite
Database Administrator

113

Data Architect Resume Examples & Samples

BS in Computer Science, Computer Engineering (or related field) and 6-8 years of experience in
Application server software (Oracle products)
Database management system software (Microsoft SQL Server)
User interface and query software
Enterprise application integration software (e.g. XML)

114

Data Architect Resume Examples & Samples

Create an enterprise data model covering Product, Customer, Customer Interaction, Inventory, Campaign Management, Web and Mobile Analytics subject areas
Translate user requirements and business use cases to conceptual, logical and physical data models
Act as bridge between business and technical data SMEs and guide requirements conversations through a structured approach that builds business confidence in the process
Translate a business glossary into one or more logical and physical data models
Create a tiered enterprise data management architecture using a combination of relational, dimensional and flat data models, depending on business context, type of data and use cases
Identify appropriate sources for the data science team’s data needs, create the necessary data mapping and transformation rules and assist the data engineering team in staging the data for advanced analytics
Facilitate the data scientist, data analyst and business analysts in using master data and analytic data by walking them through the model using business scenarios familiar to them
Identify the right data management toolset for managing master data and predictive data management
Create a framework to house external data from third party vendors and partners by mapping them to the enterprise business glossary and enterprise data model
Maintain cross referenced metadata on data sources, interfaces and systems of record and systems of reference
Advise the data governance leader on data quality rules and identify appropriate mechanisms to execute and update results of data quality checks
Create a framework for reusable data feeds (such as Web Services and batch feeds) to external partners and vendors for short term and long term business projects
Recommend and bring retail data management best practices to stitch together disparate data and analytics requirements and projects under a consolidate data management umbrella that spans the organization

115

Data Architect Resume Examples & Samples

5-7+ years of experience
Knowledge of data management and reporting technologies, predictive analytics, data visualization, and unstructured data. While not necessarily deep in all of these technologies, the data architect should be experienced in one or more, and must understand them sufficiently to guide the organization in understanding and adopting them
Business Intelligence architecture, modeling and analysis
Experience in a manufacturing environment desired
Experience managing consulting relationships and resources
SAP experience a plus
Attention to detail and following standards and best practices

116

Data Architect Resume Examples & Samples

Ensuring overall solution design is comprehensive, including fit to: functional requirements, non-functional requirements, security, infrastructure standards (hardware, software, networks, storage etc.), operational model, service model, economic constraints and business case
Creating the only client level Profit & Loss Account and Balance Sheet
Developing the critical Return on Risk Weighted Assets and Return on Equity measures used to manage the Corporate portfolio and related pricing and investment decisions
Developing a comprehensive process used to drive efficient application of resources across the business
Creating metrics and processes used in the planning and execution of the Structural Reform Programme (SRP)
The execution and delivery of business change via technology
Strong data architecture and logical / physical database modelling background (expert SQL, Oracle, SQL Server, DB2, or Teradata)
Experience with integration/middleware development products / approaches (IBM MQ, ESB, EAI, XML, Web Services, ETL etc.) in a complex mixed vendor/bespoke application environment
Strong financial services experience with current knowledge and understanding of Corporate Banking Products and the financial services regulatory environment
Commitment to excellence and a proven track record of delivery
Strong communication skills, including the ability to present and facilitate technical workshops with diverse and challenging senior stakeholders
Experience of leading technical design and development workstreams spread across multiple global locations
Application: On your application we'll ask for information like your contact details, education and work experience. You’ll also be required to upload a CV, so it's a good idea to have it ready
CV Review: If you meet the criteria for the role you’ve applied for, a member of our team will be in touch to conduct a short telephone interview to explore your application in greater detail
Assessment: If your application is successful at this stage, we’ll ask you to complete an online Situational Judgment Test to explore your alignment to the Barclays Values and Competencies. Your recruiter will be able to provide further information about the test

117

Data Architect Resume Examples & Samples

Creates architectural data strategies by reviewing objectives with clients, evaluating current systems, and analyzing client operations, applications, and programming
Performs validation checks, maintains database dictionaries and coordinates installation of new and updated database systems
Advises users and colleagues on problems and priorities
Makes recommendations to management on strategy and long-term database needs
Validates data models to ensure they meet business requirements
Understands complex business processes
Ability to build strong partnerships with clients in a wide range of roles, across the institution
Intellectually curious, love of a good challenge
Self motivated and highly engaged
Demonstrated capacity to develop & maintain effective working relationships with individuals & organizations reflecting a broad range of identities, perspectives & experiences
Bachelor’s Degree in computer science, information technology, or related field. Advanced degree in technology preferred
5+ years experience as a Data Architect
Broad and up-to-date knowledge of relational database systems, dimensional modeling of data, query language, and thorough knowledge of referential integrity, triggers and stored procedures
Practical experience with data modeling
Experience working with ERP’s and CRM’s
Colleague Unidata and Salesforce experience a plus
* Application Instructions Specific to this Position ***

118

Data Architect Resume Examples & Samples

Participate with senior management to establish strategic plans and objectives
Provide thought leadership and lead innovation by exploring, investigating, recommending, and implementing technologies to create/improve service offerings
Work with customers, stakeholders, business analysts, developers and technology teams to elicit the data requirements to achieve project objectives, delivery dates, cost objectives, quality objectives and business customer satisfaction
Develop data lifecycle management strategies utilizing industry leading concepts and methodologies to facilitate operational business needs
Convert business processes, domain specific knowledge, and information needs into coherent, and effective overall data architecture including conceptual, logical and physical data models
Explain and document the trade-offs between proposed solution and viable alternatives
Prepare and propose standards and templates for documenting data definitions, data structures, and data quality
Collaborate and coordinate with appropriate internal and external groups to ensure the confidentiality and security of all corporate and client information
Perform other duties as may be assigned by management
Bachelor's degree from an accredited college or university required; Preferably in the fields Science, Technology, Engineering
Ten (10) years of experience in data development management required
Five (5) years demonstrated hands-on experience in the following required: data modeling tool (e.g. ErWin), relational databases (Oracle technologies), SQL programming, and data analytics
Two (2) years demonstrated hands-on experience with reviewing the data modeling of others for compliance and accepted standards of development required
Five (5) years demonstrated experience developing and delivering large, complex solutions in a sizable enterprise required
Experience with data analysis, data migration, data modeling, data integration, data warehouse and database design
Hands on experience in developing and implementing data architecture and complex data models for operational and data warehouse applications
In depth knowledge of physical database design, transactional databases using major RDBMS such as Oracle, MYSQL server
Must be able to perform comfortably in a fast-paced, deadline-oriented work environment, and must demonstrate the ability to successfully execute multiple complex tasks simultaneously; as well as the ability to work effectively both as a team member and independently
Serve as the technical lead and key point of contact for the design of complex information technology solutions
Serve as the key technical point of contact in developing the technical solutions in response to Change Requests, and business needs
Work closely with Health Services Operations management and staff, Operations Systems’ technical engineers, and process engineers to provide guidance and ensure adequate design for meeting Health Services’ business objectives and strategy
Experience working with No-SQL databases preferred
Experience supporting micro service architecture based applications preferred
Working knowledge of data modeling tools, agile methodologies and production DBA clusters preferred
Ability to perform quantitative and qualitative analyses of existing business processes based on in-depth industry knowledge of organizational and or client objectives
Ability to influence senior level leaders regarding matters of significance
Ability to negotiate with internal and external customers to gain desired outcome
Ability to work under standards-based performance measures
Ability to successfully manage many complex tasks simultaneously
Work is constantly performed in an office environment

119

Data Architect Resume Examples & Samples

Thought leadership role in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, data discovery, database design and implementation
Defines and achieves the strategy roadmap for the enterprise; including data modeling, implementation and data management for enterprise data
Establishes standards and guidelines for the design, development, tuning, deployment and maintenance of data
Provides leadership in establishing analytic environments required for structured, semi-structured and unstructured data
Draws conclusions and effectively communicates findings with both technical and non-technical team members
Participates in Business Intelligence projects, and works with analytical group and IT to ensure implementation using both Agile and Waterfall methods
Advanced degree in Computer Science, Business Analytics, Statistics, or related fields is a plus
A minimum of 5 years in the Financial Services industry
Extensive expertise with relational database technologies (Oracle and MS SQL), as well as data modeling, both logical and physical
Extensive experience in multidimensional data modeling, such as star schemas, normalized and de-normalized models
Extremely strong analytical and problem-solving skills
Strong verbal, written and visual presentation skills
Experience using project management and SDLC methodologies
Experience working with remote teams and offshore vendors

120

Data Architect Resume Examples & Samples

Establish and maintain models and artefactsthat describe how data is processed, stored, and utilized in the entire system
Develop and maintain platform architecture models, such as performance, business, data, application, infrastructure and security
Develop data governance strategy and controls to ensure consistency of data between various systems and components
Provide advice and present on solutions for business intelligence and data warehousing activities for stakeholders at different levels within the organization
Full SDLC involvement including review of data development activities, data security, auditing, data quality
Work with stakeholders to help define business requirements for complex systems, focusing on understanding anddocumenting the business processes and data requirements of those
Work with developmentteams in the implementation of processes which result in a high degree of data quality and integrity
Assist in the resolution of dataquality issues
Help drive the development of future statedata architecture and the strategic plan for supporting both transactional and information systems
Research and assessemerging technologies and recommend technologies that will benefit the organisation
8+ years defining and maintaining conceptual, logical and physical data models, data standards, naming conventions and data flow diagrams
Strong experience with SQL Server
Successfully implemented Data Quality/Governance initiatives
Knowledgeof Big Data
Knowledge of NoSQLsolutions
Knowledge of Business Intelligence solutions
Ability to analyseand understand complex problems
Excellent collaboration, influence and leadership skills required
Experience of selecting third party products
Minimum of a B.Sc in Computer Science or related field

121

Data Architect Resume Examples & Samples

Develop and keep current, a high-level data strategy that fits with the Data Warehouse Standards and the overall strategy of the Bank
Develop and maintain Data Warehouse data model reviews, design sessions, pertinent documentation and serve as lead between the business, compliance and technology
Provide Production Support of the Data Warehouse as well as the ETL jobs used to support the Data Warehouse and FRB. This includes being an active member of the Point rotation as well as providing support to other team members that are covering point
Adhere to ETL/Data Warehouse/Data Mart/MDM development Best Practices
Ability to identify and resolve any performance and/or data related issues
Facilitate the development and implementation of data standards and adoption requirements across the enterprise. Designs and implements data quality improvement processes
Provide guidance on technical specifications, data modeling, etc. and reviews proposed data marts, data models, and other dimensional uses of data within the Data Warehouse
Ability to lead departmental development efforts - capturing knowledge capital, conducting internal training classes and sharing information across the team
Strong interpersonal skills, including the ability to diplomatically advocate for data management best practices and standards as well as server as a mentor for other team members
Performs other duties & responsibilities as required or assigned by management
Communicate effectively using different media at multiple levels of the organization and across organizational boundaries
10+ Years of in MS SQL Server Database Design/Development
7+ Years of MS SSIS or Informatica Experience
10+ Years of Data Warehousing Experience
5+ Years leading Data Warehouse projects
Experience with VLDB's
Expert in Microsoft SQL Development (T-SQL)
Expert in Microsoft SSIS Development (2005, 2008, 2012) or Informatica Powercenter Development (9.0 – 9.5)
Experience with .NET technologies (VD.net, C#, etc.)
Experience Designing and Implementing Enterprise Data Warehouses and experience in Data Modeling
Strong understanding of Master Data Management, MetaData Management and Data Quality
Advanced knowledge of performance tuning as related to ETL Development
Strong experience with Source Control (VSS, TFS, git, etc.)
A proven self-starter with strong leadership, communication and problem solving skills that lead to results
Ability to handle multiple projects, changing priorities and occasional urgent matters while managing time efficiently and communicating to business users and other stake holders accordingly including analysts, managers and executives
A Team player that furthers the First Republic Bank culture and values

122

Data Architect Resume Examples & Samples

Build internal standard practices for data intake, cleaning, coding and organization
A master's degree, preferably in data science, statistics, informatics, econometrics or similar field with a focus on data science and at least on eyear of experience in a data analyst.manager role, or a bachelor's degree and at least four years experience in a comparable role
Experience with MySQL, Oracle, or other databases

123

Data Architect Resume Examples & Samples

Degree qualified in Business management, IT, Computer Systems, software or computer engineering fields or equivalent
7+ years defining and maintaining data architecture, logical & physical data models, data standards, naming conventions, primary key guidelines, and data flow diagrams
7+ years’ experience in relational & dimensional data modeling, process modeling and performance tuning of large scale data warehouses
3+ years architecting active data warehouse solutions
Strong technical knowledge of data integration, metadata and BI analytics tools
Good understanding of Telco data models
Data Architecture, Data Modeling of BI Applications / Data Warehouse
Good experience with distributed systems, large scale non-relational data stores, map-reduce systems, data modeling, database performance, and multi-terabyte data warehouses
Experience of data warehouses in excess of 10TB would be an advantage
SQL, Relational Database Management System (RDBMS) – Teradata, Erwin Data Modeling tool and Erwin scripting

124

Data Architect Resume Examples & Samples

Responsible for supporting clients with Affordable Care Act (ACA) product
Responsible for training clients on ACA product
Responsible for helping to improve training for ACA product
Responsible for developing FAQ documentation for ACA product
Responsible for assisting with support on other products where feasible
BA or BS degree Preferred (or Equivalent Experience)
Minimum 3-5 years professional experience
Ability to comprehend and use new technologies quickly
Aptitude and comfort level in handling multiple requests concurrently
Consistent attention to organization and details

125

Data Architect Resume Examples & Samples

Retail, e-commerce, Merchandising, Inventory Management and Supply Chain experience
Develops and maintains data models (logical and physical) for operational and analytical systems in the Enterprise
Maintains the ERWIN model repository and ensures the models are current
Creates and executes DDL in development environments for any new and/or revised database objects
Works closely and communicates effectively with the IT development staff on providing the best data design solutions for their needs
Must possess the ability to derive data requirements from functional requirements, source data and meetings and the ability to generate data models from scratch to meet requirements and follow best practices
Works to promote the enterprise’s data governance standards
Reviews and Approves requests pertaining to database objects in a timely manner

126

Data Architect Resume Examples & Samples

Define software applications and technology architectures, and be sure of its technical feasibility. Key technologies: MS Azure PaaS and Hadoop framework (HBase, Spark, MapReduce,)
Be in charge of the applications’ performance (DevOps / Run) and industrialization
Manage the volume’s estimation, the modeling and the design of data models
Manage the technical scope and the functional coherence of the data warehouse
Design and implement the development and release process
Define and implement data management plans to ensure data is well collected and aligned with the solution requirements
Provide hands on expert level assistance for technical issues
Work in different phases: deployment, optimization, technical audits, especially in context of high volumes
Being proactive on bests practices and bring feedbacks on various topics
6 years of software engineering experience including the design of technical environments
Strong background in data engineering, Microsoft Azure and open source frameworks
Knowledge about the PaaS MS Azure and Open Source Big Data frameworks (Hadoop, Spark) and a first experience of deployment

127

Data Architect Resume Examples & Samples

Create & maintain data architecture, data management standards and conventions, data naming standards, and metadata standards
Perform high level and detailed design activities and create specifications for operational and data warehouse projects
Participate in ETL design, strategy and associated processes
Validate and comply with the defined data architecture
Recognize and identify potential areas where existing policies and procedures require change, or where new ones need to be developed, especially regarding future business expansion
Work closely with key client and IT stakeholders in understanding business needs and recommend solutions
Lead logical data model workshops with business users to derive at a logical data model that correctly reflects the business
Coordinate with database administrators the physical construction of databases for projects and maintenance
Resourceful, organized and independent self-starter with an enquiring mind
Ability to interact with different levels of technical and management personnel
Knowledge of the Individual Insurance business and the Salesforce application is essential
Logical and physical data modelling – 7+ years (dimensional and 3NF)
In addition to all the traditional modelling techniques, the incumbent must also possess the knowledge to create logical data models using the Class Modelling technique as well the Generic Data Modelling approach
Strong design & hands-on experience with DBMS – SQL Server, Oracle, DB2 for z/OS, IMS – 10+ years
Metadata repository experience
Master data management experience
Knowledge of industry data management best practices and trends

128

Data Architect Resume Examples & Samples

Development and delivery of Enterprise Data Architecture artifacts
Development and delivery of structural and semantic metadata (XML Data Encoding Specifications, XML schemas, metadata mapping, controlled vocabularies, ontologies, and taxonomies)
Conduct engineering assessments of data management plans for IT projects and programs within IT governance
Support an integrated team of legal, security, policy and operational (mission) stakeholders defining data access business rules based on law, policy and mission sensitivities
Advise the government sponsor on the steps needed to increase the maturity of data management within the enterprise
Demonstrated working experience with information sharing, data interchange models and related technical specifications such as IC XML Data Encoding (data tagging) standards or NIEM
Strong written and verbal communications skills; ability to communicate effectively to a variety of audiences to include government leaders and policy-makers
Proven experience collaborating effectively across multidisciplinary teams: IT, systems engineering, data integration, analysts, policy and organizational partners
Experience with enterprise data architecture and enterprise data management
Awareness of or familiarity with access control approaches including Attribute Based Access Control (ABAC)
Awareness or familiarity with big data analytics, data science and related data management challenges

129

Data Architect Resume Examples & Samples

3 years of experience with business environments in data modeling or system engineering
Experience with developing, validating, and maintaining conceptual, logical, and physical data models using data modeling tools, including Erwin and evaluate existing data models for variances and discrepancies
Experience with requirements gathering and system analysis to design for data models
BA or BS degree in Computer Science or Systems Engineering

130

Data Architect Resume Examples & Samples

Act as a data thought leader to a team of engineers and help them break down ambiguous, complex problems and drive high-quality, innovative, and clean technical solutions
Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders
Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks
Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving
Ensure that data strategies and architectures are in regulatory compliance
Ensure the success of enterprise-level application rollouts (e.g. ERP, CRM, HRIS)
Oversee a broad range of platform integrations, improvements and customer-facing features
Proactively make data-driven decisions and manage complex initiatives from conception to deployment
Manage interfaces and coordinates with various providers, vendors, and customers
Communicate effectively with Aspect leadership on projects, data and interface issues
Perform interface analysis, builds, testing, and go-lives
Work with developers on interfaces using interface technologies and relevant languages
Monitors live interfaces, and provides support and resolves problems as needed
Experience working both independently and in a team-oriented, collaborative environment
Lead testing and troubleshooting process with internal teams, partners, providers and external technology vendors
Establishes strategic goals by gathering pertinent business, financial, service, and operations information; identifying and evaluating trends and options; choosing a course of action; defining objectives; evaluating outcomes
Has hands on experience in several mid-size, global implementations connecting various SaaS and on premise based applications with cloud data warehousing solutions, with specific knowledge integrating Salesforce and NetSuite a plus
Direct experience in implementing enterprise data management processes, procedures, and decision support
Strong understanding of relational data structures, theories, principles, and practices
Strong familiarity with metadata management and associated processes
Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools
Demonstrated expertise with repository creation, and data and information system life cycle methodologies
Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on
Experience utilizing ETL tools to integrate data sources, with expertise in Jitterbit Harmony a plus
Ability to effectively and professionally communicate complex information to business functional staff and senior executive management
Strong customer service and teamwork skills. Professional demeanor to maintain and enhance relationships
Independently handles complex aspects of position, such as leading cross functional teams on IT delivered projects and enhancements
Ability to use professional concepts in accordance with company objectives to solve complex problems in creative and effective ways. Deliver assignments with limited direction from direct management
Ability to develop resolutions to complex problems where analyses of situations or data require an in-depth evaluation of various factors and the frequent use of creativity
Ability to exercise and demonstrate good judgment within broadly defined practices and policies in selecting appropriate methods, techniques and evaluation criteria for obtaining results

131

Data Architect Resume Examples & Samples

Participate in the design, acquisition and completion of Enterprise Intelligence transformation projects within the complex multinational financial services landscape (Banking/Insurance/Wealth and Asset Management)
Design sustainable data quality architectures and organizations
Support, design and implement data processes towards a data centric culture
Work closely together with colleagues from other departments, in domains such as risk management, business optimization and customer intelligence

132

Data Architect Resume Examples & Samples

Extensive experience delivering complex database intensive solutions (ideally but not restricted to banking and/or financial institutions)
Demonstrable experience of driving solution implementation from design through all delivery phases
Fluent and efficient in creating Technical Architecture Documentation, presentations and sales pitches
8+ years hands on experience with Oracle database and related technologies. This includes PL/SQL development, performance optimization techniques, partitioning and indexing techniques, data replication solutions (Data Guard, Golden Gate), back-up and recovery, high availability and failover solution (RAC)
5+ years of experience in designing and working with large scale data models. Experience of data modelling tools such as Power Designer or ErWIn is required
DWH experience (star schema modelling and implementation)
ETL experience (tools like Informatica, SAS DI, OBIEE)
Reporting tools experience (tools like Business Objects, Cognos, SAS VA)
Experience with agile methodologies (ideally Scrum or SAFe)

133

Data Architect Resume Examples & Samples

Drive the collaborative development of the BI strategy/architecture for Information Delivery
Develop and apply standards and guidelines for information receipt, information delivery, information presentation, BI tool usage, and data reporting
Establish guiding principles and architectural decisions regarding marts versus cubes & reporting tools for ad-hoc reporting, static reporting and multi-dimensional reporting
Ensure that BI solutions interface with security solutions
Supporting various warehousing projects by developing the conceptual and logical Information Architecture (including data services, metadata management, data placement and information flows)
Developing conceptual and logical information models within the context of the Enterprise and Line of Business Information Architecture
Documenting business informational requirements and business rules, within the context of the Data Architecture, in the information models
Ensuring that all informational business rules are documented in the information model, including definitions, valid values, and default values
Ensuring that the information rules have been validated by the business
Ensuring that DW/BI standards and guidelines are used to develop the information models and database designs
Participating in the resolution of data quality issues, data conversion issues and in the reviews of existing data structures and recommend improvements
Ensuring that models are checked-in to the Modeling tool on a regular basis
Participating in mapping information models to external vendor offerings, identify gaps and participate in resolution
Working with the DBA to transform the logical information model into a first-cut logical database design (physical information model for the target DBMS)
Working with the DBA to assess implementation database design requests made for performance/access requirements to ensure business rules and long-term database usability/integrity is not compromised. In-depth knowledge of Business Intelligence and Data Warehousing concepts
Acts as the technical lead in working with other vendors in a Data Warehouse implementation
In-depth knowledge of Business Intelligence and Data Warehousing concepts
The ability to analyze performance issues and design and implement a solution
Mandatory Knowledge of

134

Data Architect Resume Examples & Samples

Five years includes specific duties as a data architect, database administrator, or data analyst
Five years “hands on” experience managing one or more of the following database systems: Microsoft SQL Server, Oracle, or IBM DB2, involving implementation of database schemas, indexes, and query optimization
Three years “hands on” experience implementing database stored procedures

135

Data Architect Resume Examples & Samples

The Data Architect will be responsible for understanding the requirements and detailed data ecosystem of the components and applications associated with the PSJSP program, and using this knowledge to prepare and champion specific recommendations, guidelines, practices, and design models which will ultimately form the basis for the program data architecture
The Data Architect will also act as an in-house expert to mentor and assist technical staff in mastering techniques and best practices associated with: data modeling; data warehouse, data lakes, and database design and optimization and related activities
The Data Architect will collaborate as part of a team composed of technical leaders representing the enterprise, application, data and network architecture, interface development, security, and business relationship management areas of the program
Research, analyze and define technical problems and recommend alternative solutions
Review, understand, and apply business requirements to guide the creation of a comprehensive, coherent, and effective overall data architecture for PSJSP
Prepare and propose standards and templates for documenting data definitions, data provenance, and data structures
Lead and collaborate in the creation, maintenance and dissemination of data models, mentoring PSJSP staff in the skills and techniques required
Participate in the creation, maintenance and dissemination of data documentation
Collaborate in the creation, maintenance and testing of database backup and recovery and business continuity protection procedures
Collaborate in the creation and implementation of procedures to ensure data quality, data integrity, security enforcement, and data retention according to SCC policies and regulatory or business requirements
Monitor and tune database performance, including making recommendations for creating or updating indexes, query modification, or changes to data structures as appropriate
Participate in the establishment of guidelines and code review of data related artifacts, including integrity constraints, triggers, views, and stored procedures
Prepare weekly status reports
Coordinate with other ISD staff and management
Coordinate project activities with customers and external stakeholders
Provides leadership and mentoring to other Data Architecture team members
Recent relevant experience involving a complex, multiple application and multiple agency environment with both traditional data warehouse and big data is strongly preferred
Ability to understand, model, and portray the big data picture, spanning multiple applications
Ability to define and implement practices for aligning data architecture with business requirements
Knowledge of both established and emerging data technologies, including the ability to identify when each can be effectively applied and the advantages / disadvantages of each
Ability to clearly document data structures, data definitions, and data provenance
Understanding of data indexing strategies for a variety of data types
Knowledge of national standards and policies related to public safety and justice data, including NIEM and CJIS, is desirable
Ability to work closely with agency and department technical and management resources
Must be able to produce high quality work, both independently and on a team, in a fast-moving environment
Must be able to plan and prioritize personal tasking
10+ years of related experience in software development, of which at least
Five years includes specific duties as a data architect, data warehouse architect, data modeler, or data analyst
Five years “hands on” experience managing one or more of the following database systems: Microsoft SQL Server 2008 or higher, Oracle, or IBM DB2, involving implementation of database schemas, indexes, and query optimization
Three years “hands on” experience implementing database stored procedures. Note: The above role specific experience may have been acquired concurrently
Experience defining and implementing data security, quality enforcement, and retention policies in a complex, multiple application environment
Experience creating, implementing and testing procedures for backing up and recovering databases
Experience supporting data management functions in public safety and justice domains (Court and Probation Case Management, Law Enforcement Records Management, Jail Management) is desirable

136

Data Architect Resume Examples & Samples

Performs data collection, analysis, interpretation and management duties
Develops rules and methodologies for data collection and analysis
Ensures the integrity of project data, including data extraction, storage, manipulation, processing and analysis
Consults with the external clients and internal staff to determine data management needs and objectives
May be responsible for database design, administration, security, and maintenance
Prepares presentations that reflect the results of the data analysis
Develops and delivers data-related training programs
Coordinates with scientists and other technical experts to design and develop statistical analyses methodologies
Provides guidance and work leadership to less experienced Data Analysts, and may have supervisory responsibilities
Minimum 6 months demonstrated on-the-job experience with the Cognos version 10.1.x or higher suite of tools to include Cognos Reports Studio and Cognos Query Studio
Minimum 3 years' demonstrated on-the-job experience with PL/SQL, SQL programming, and SQL performance tuning
Minimum 3 years demonstrated on-the-job experience modeling data for reports using Cognos Framework Manager
Minimum 3 years demonstrated on-the-job experience developing, deploying and supporting Enterprise-level Business Intelligence Dashboards with a diverse set of tools and tailored to a wide variety of audiences
Demonstrated on-the-job experience writing queries to extract data, testing developed reports and assessing impacts of changes
Demonstrated on-the-job experience using relational DBMS platform such as Oracle, Sysbase, DB2, TM1, SQL Server, Redshift, Postgres
Demonstrated on-the-job experience resolving customer problems and preparing documentation of procedures
Training certificate for Cognos Report Studio v. 10x (needed before candidate starts)
Demonstrated on-the-job experience with IBM Cognos Software Development Kits (SDK, Mashups)
Demonstrated on-the-job experience optimizing SQL performance for Business Intelligence reporting, including Star schema and relational database
8-10 years of related statistics/data analysis experience

137

Data Architect Resume Examples & Samples

Must hold a current TS/SCI
Bachelor’s degree coupled with a minimum of four (4) years of related experience OR a High School diploma with a minimum of ten (10) years of related experience
Ability to work well independently and in a collaborative team environment
4-6 years of experience in data modeling, including conceptual, logical, physical, and big data models
Experience working with stakeholders to define user and data requirements for information exchange between systems
Experience creating, modifying, and developing of enterprise data management standards and processes
Experience data exchange implementations (especially NIEM standards)
Knowledge of XML, databases (SQL & NoSQL), data types, and structures
Familiarity with DoD and/or Marine Corps policies and procedures
Experience implementing data standards between systems
Excellent oral and written communication skills and an ability to translate complicated technical issues for a non-technical audience
DoD 8570 Level II certified or able to obtain within 90 days of hire
Experience with cloud and web service technologies
Experience with common big data technologies (Hadoop, Solr, Elasticsearch)
Experience with modern web application development frameworks and languages (Java, C#, Python, etc.)
Eagerness to learn and grow skill set
EOE/M/F/D/V

138

Data Architect Resume Examples & Samples

Proven Data Architecture experience
Qualified architect practitioner (TOGAF, BCS ESA, Archimate or equivalent)
Proven track record of successful business systems development in a wide variety of project roles
Proven experience in the application of data definition standards e.g. ISO/IEC 11179 and data integration standards e.g. OAGIS
Good data integration knowledge and experience
Strong communication skills and customer facing
In-depth understanding of the management of data quality, obtained in a number of organisations applying differing forms of data governance
Awareness of security and information assurance concerns as apply to data
Capable of inspiring organisations whose cultures are averse to architectural approaches and who often fail to recognise data to be independent from process
Ideally experience within Energy and/or Telecom Industry
Knowledge of the energy industry
Existing / established relationships with Ofgem and Industry representatives
Experienced in applying architectural tools and methods e.g. UML, Casewise, ABACUS
Good knowledge of Smart Energy Code and DCC Licence Conditions

139

Data Architect Resume Examples & Samples

Define, analyze, and review architecture and technical requirements
Involve and recommend enterprise’s server hardware, operating system for the enterprise data warehouse
Participates in the drafting of Service Level Agreements (SLA)
Involve in enterprise application integration (EAI). This includes defining the opportunities for integration, selecting the tools, specifying the shared data and code resources, defining the interfaces and data-flows, and monitoring the success of said integration
Responsible for defining the application tiers, frameworks, components types and interfaces
Creates the first-draft graphical template of UML design models used by the Project Architects
Specifies recommended DBMS and ETL tools and technologies for structured and unstructured content
Reviews the policies and work of the Data Base Administrators
Provide framework, stewardship, governance, and decision making for the management of enterprise data for project development teams, business users and other stake-holders
Balance short-term versus long-term actions, strategic versus tactical requirements, while continuing to move forward towards the strategic vision; participate in the road map to achieve the vision
Develop standards, process flows and tools that promote and facilitate the mapping of data sources, documenting interfaces and data movement across the enterprise
Provide architectural solutions covering data structures, sourcing, integration, security, and retention
Define governance and best practices around meta-data to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, reusability, and consistent definitions for common reference data
Involve in data roadmap, current / target state for enterprise data
12+ years of experience in software development and database applications with most this experience in data strategy, souring, modeling, integration, and architecture
Experience in data analysis, data profiling, data integration, and data quality
Experience in tuning DataWarehouses
Extensive experience in creating data warehouses, data marts, and modeling (3NF and dimensional)
Data modeling experience creating both dimensional and relational models; ERWIN experience is preferred
Advanced knowledge of SQL, database performance, RDBMS, and Query tools
Prior experience in ETL, reporting and analytics, and business intelligence tools is preferred
Prior experience in health care domain is preferred
CBIP (certified business intelligence professional) from TDWI is nice to have
Ability to evaluate, analyze, design and implement solutions based on technical requirements
Ability to identify solutions to complex problems and business processes using tools and technologies to improve efficiency through automation, re-use, design patterns, and best practices
Strong verbal and written communication skills including interpersonal skills
Ability to communicate to a variety of audiences in both verbal and written form
Ability to collaborate with all levels of a complex organization to meet the needs of business and IT
Ability to deal effectively in a team environment and provide project direction and counsel, provide recommendations to senior management, and collaborate beyond the immediate project team to meet the needs of business
Excellent oral, written, and communication skills

140

Data Architect Resume Examples & Samples

Undergraduate degree (Computer Science, Information Systems, or Computer Engineering) or equivalent experience
10+ years relevant work designing and implementing normalized and dimensional data models to satisfy complex information needs
6+ years relevant work with Enterprise Information Management approaches including data migration, transformation and integration strategies
Developing Others - Supports the development of other’s skills and capabilities so that they can fulfill current or future job/role responsibilities more effectively
Organizational Capability - Evaluates and adapts the structure of assignments and work processes to best fit the needs and/or support the goals of an organizational unit

141

Data Architect Resume Examples & Samples

5+ years’ experience with data analyses/ design and solution architecture for data integration, databases, and data mining concepts for data analytics and visualizations, and creating and developing ETL processes
Database design, data maintenance, database security, Data mining concepts, extractions, data cube and performance tracking
Experience with large data sets or Big Data
Experience in working with SQL, Hadoop, Teradata EDW, Teradata Aster and informatica
Proven experience designing the architecture of Data Warehousing and BI solutions in a multi-terabyte environment is a HUGE plus
Worked in Agile environments
Exposure to Informatica ETL tool, Hadoop Database, Or

142

Data Architect Resume Examples & Samples

Developing and delivering logical and physical data models, including the creation and maintenance of ERD diagrams and other documentation for large complex operational systems employing deep system integration and SOA architectures
Lead data architecture design and review processes, including planning and monitoring efforts, reviewing deliverables and communicating to management
Optimize existing processes for efficiency
Adhere to the system development life cycle and be responsible for time estimates for development efforts, and completion of deliverable within project timelines
With the knowledge and ability to perform in all of the basic database management skills of database administration, write/tune complex SQL, mentor junior SQL developers
5+ years of experience with DB2 or Oracle

143

Data Architect Resume Examples & Samples

Bachelor’s degree in Computer Science or equivalent experience, plus
Ten or more years in software development/engineering, including requirements analysis, software design, implementation, integration, testing, and documentation
Ability to take verbal requirements for new analysis tools and features to prototype stage
TS/SCI clearance with current CI polygraph
Experience with Business Analytics/Business Intelligence (critical information delivery to customers via dashboards and visualizations)
Agile software development processes

144

Data Architect Resume Examples & Samples

Participate in the design, architecture and evolutions of the Datalake
Analyze the data sources and perform data exploration
Develop and maintain real-time data ingestion pipeline
Develop and maintain Batch ingestion processes
Develop and maintain Datalake through HDFS, Hive, Impala data structures
Develop new benchmarks and tools for Data performance measurement and capacity
Analyse and recommend best technologies available for services accompanied with the projects
Review, recommend and approve Data management
Apply and contribute on development best practices
Provide technical mentoring to the other team members
Perform deep unitary testing
Write technical and process documentation
Minimum 7 year experience in the industry with a minimum of 4 years in this role
Excellent Knowledge and experience of programming Java
Excellent knowledge in Distributed Streaming Platform Apache Kafka and it’s advanced features
Excellent knowledge in stream processing with Storm or Spark Streaming or similar technology
Excellent knowledge and experience of Cloudera Bigdata technologies (Hbase, HDFS, Hive, Impala)
Good Knowledge and experience of programming C# and Python
Good knowledge and experience Linux Server administration
Good knowledge of algorithm analysis and optimization
Good in collaboration & communication
Knowledge on ETL tool is an asset
Knowledge on other emerging open source project is an asset (like Druid etc)
Capacity to work under pressure and solve multifaceted problems
English fluent, French is an asset

145

Data Architect Resume Examples & Samples

Architect, design, and implement large scale and enterprise grade database solution
Direct all aspects of solution implementation
Lead data architecture team
Be a thought leader in the area of Data Architecture technology
Experience in administration and/or programming of one or more RDBMS such as Oracle, SQL Server, DB2, MySQL, PostgreSQL
Experience in administration and/or programming of one or more NoSQL databases such as MongoDB, CouchDB, Cassandra, HBase
Experience in database performance tuning
Experience in data architecture design
Having database certifications will be a plus point
Have a minimum of 3-5 years in relevant experience

146

Data Architect Resume Examples & Samples

Design Electronic Document Management (EDM) solutions for BPO client mobilization, including application requirements gathering, technical integration design and technology solution design
Support Technology Blueprint and technology costing in support of Sales efforts related to EDM solutions
Drive standard solutions through the sales process
Support development of and improvement of standard technology offerings for the BPO
Work with Application Architects in defining software / hardware requirements and in planning and delivering architecture
Work with AO for BPO development managers to estimate costs for custom solutions
Support the Technical Architect in the completion of all tasks related to the technical integration and service levels for a group of technologies
Assist with the design, build, rollout and run support for technology solutions supporting Service Delivery factories
Experience in designing database and data warehouse architectures, including design of tables and SQL views is a must
Coding and testing Transact SQL statements; tuning of SQL code and databases
Designing and testing reports and/or other business intelligence solutions such as analytics UIs or dashboards
Experience in the design of Extract, Transform and Load architectures
Designing conceptual and logical data models
Designing and implementing OLAP databases and data model
Experience in data administration processes
Experience in the following software products: Microsoft SQL Server, Microsoft Analysis Server and OLAP, Microsoft SSIS, Microsoft Reporting Server and Reporting Services
Strong operational and client focus

147

Data Architect Resume Examples & Samples

Formulate solution options and recommendations for the Enterprise Data Warehouse and Digital Strategic initiatives
Develop logical and physical reporting and analytical data models to meet the needs of the organization
Data mining, profiling and transformation
6 - 10 years experience in related field required
In an agile manner

148

Data Architect Resume Examples & Samples

Set the data architecture strategy for the program by architecting and implementing fast, secure and scalable data pipelines
Create the blueprints for the data management systems to integrate, centralize and maintain data sources
Support for data migration / ingestions, ETL, and REST APIs in a NoSQL environment
Ensure performance, scalability, security, and availability of data platform
Set data architecture roadmap to align to product roadmap
Recommend and implement enhancements to the data environment and infrastructure
Support development across the tech stack
Stay current on advancements in data management innovation
Provide support in requirements gathering / mapping and gap analysis
Work with minimal guidance; seek guidance on only the most complex tasks
Utilize languages such as: NoSQL, SQL, XML, Hive, Pig, Spark, SPARQL
7+ years of experience in data management / development
3+ years of work experience with NoSQL solutions or experience with Big Data
Proven experience with data architecture principles, as well as multiple types of database technology (document, relational, XML, object, Hadoop, NoSQL)
Organized, able to think beyond what is asked for, and able to juggle competing priorities in a fast-paced, often evolving environment
Experience prototyping and performance tuning applications deployed across multiple operating systems, languages, and computing platforms
Experience working on projects focused on data science, big data, and analytics
Experience with Document and data formats - JSON, XML and related technologies
Experience with Hadoop and cloud computing
Experience with integrating database into continuous integration / deployment (CI / CD)
Excellent communication (verbal and written) and interpersonal skills
Experienced with advanced concepts of source code management; including branching, merging, and rebasing

149

Data Architect Resume Examples & Samples

Leading the design process as part of the data design and architectural governance team for large projects and programmes
Responsibility in the analysis stage of projects: responsibility for the Data Architecture Document, and supporting the Technical Architecture
Liaising with stakeholders for architectural design of projects and provide architectural and technical expertise to the client and to the project team throughout the product lifecycle, from strategy to live support
Solution governance and quality assurance against blueprints and applicable standards including membership of various Technical Design Authorities
Maintaining expertise in data architecture and familiarity with industry developments in associated areas
The development of detailed plans and management reports
Communicating, improving and implementing the key principles, methods and models that describe the enterprise's future state
Advising and participating in the specification, selection, design, implementation and operation of information security controls to maintain the confidentiality, integrity, availability, accountability and relevant compliance of information systems to security standards
Played a hands-on lead role in the data architecture design element of a major projects and programmes
Extensive knowledge of designing, building and using enterprise data models as the foundation for a data architecture
Extensive experience of traditional data modelling techniques such as IDEF1x, IE and class modelling using UML
Extensive knowledge of conceptual and logical data modelling patterns, including the use of super type/subtype hierarchies, bills of materials etc
Extensive knowledge of designing and building enterprise data warehouses and data marts
Experience of the creation and maintenance of conceptual, logical and physical data models using a range of modelling and architecture tools, for example

150

Data Architect Resume Examples & Samples

The Data Architect will oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Collaborate with project managers, address data related problems in regards to systems integration and compatibility, as well as act as a leader for coaching, training and providing career development to stakeholders
Create data capacity planning, life cycle, duration, usage requirements, feasibility studies and other related required tasks
Design and Develop Application Data Models
Develop and deliver long-term strategic goals for data architecture vision. Global and divisional stake holder standards must be met while creating short term tactical solutions to reach the long-term goals mapped out over all data management
Ensure the consistent use of Enterprise Reference Data within the application and “Data Warehouse” data models
Select and implement the appropriate tools, software, applications, and systems to support data technology goals
Act as liaison to vendors and service providers to select the products or services that best meet company goals and requirements
Ability to review and provide feedback for internal and partner developed deliverables
An understanding of the commercial implications of decisions made at all project lifecycle stages
Proven experience working in with third party service providers including offshore resources on delivery programs and projects
Knowledge of all phases of SDLC and full lifecycle implementations
Database Technologies: Oracle (essential), MS SQL Server (preferable), DB2 (preferable) Teradata (preferable) , MS Access
BI and Data Management Tools: Business Objects, Crystal Reporting, Qlikview, Erwin, Informatica, Trillium
Others: XMLSpy, Eclipse, Visual Studio, SharePoint

151

Data Architect Resume Examples & Samples

1) Contribute expert level consulting on data design and implementation for projects and processes
2) Ensure best industry and Scotia practices are applied to the handling and management of data
3) Coach and educate sponsors, internal customers, designers and developers on best industry and Scotia practices are applied to the handling and management of data and the data aspect of all system and process designs
1) Expert knowledge of data architecture principals
2) Expert knowledge and experience in data requirements gathering, data modelling and database design
3) Working understanding (or better) of Hadoop Data Lake design
4) Experience in Financial Services, ideally banking payments and deposit products, business, systems or solution design
5) Experience with IBM's Information Goverance Catalogue and Data Architect or ERwin data modelling tools is an asset

152

Data Architect Resume Examples & Samples

Co-operating with the DataLab team in all kinds of data mining and project activities
Acting as a Subject Matter Expert for cross divisional important projects in relation to data architectural issues and data mining activities to facilitate analysis tasks of the CDA
Performing data analysis of existing CIB / Global Transaction Banking (GTB) systems in relation to Reference Data Services (RDS)
Supporting data delivery for the introduction of a golden source for CIB / GTB for parties, products, instruments and common reference data
Co-ordinating and supporting groups in the business who need data architectural help
Co-operating with the Reference Data Manager who links into the bank wide Reference Data Services (RDS) programme
Performing data oriented tasks for the adoption of all CIB systems across locations to RDS
Educated to Bachelors degree level or experience in Information Technology (IT) or Banking (or equivalent qualification / work experience)
Previous experience in data modelling, business intelligence, analytics, canonical data model definition, data governance, data integration and data migration
Software Development and database implementation (beneficial)
An understanding of business use cases and defining data domains that will structure multi-dimensional modelling
Knowledge of workflows, systems and applications within a complex environment
A basic understanding of Transaction Banking and Corporate Finance products, knowledge in Core Banking software
Good Microsoft (MS) Office products knowledge (Access, Excel, Visio and Powerpoint)
Skills in relational databases (Oracle) and Big databases (Hadoop) (beneficial)
Ability to work in an international environment
Creative and pro-active with an ability to work under pressure
A self motivated team player with a service and customer focus

153

Data Architect Resume Examples & Samples

5 or more years of data analysis, data modeling, data integration experience, working
Experience with Master Data Management, Data Quality, Big Data, or Analytics
Hands on and solution architecture on the Salesforce platform
Salesforce Certified Consultant and Developer
Certified Data Management Professional, or equivalent credential

154

Data Architect Resume Examples & Samples

Organize working sessions with business/development teams to understand sources of data and expected output
Determine database structural requirements by analyzing operations, applications, review objectives with stake holders and evaluate current systems
Develop database solutions by designing proposed system, defining database physical structure and functional capabilities and data security requirements
Develop flowcharts and documentation
Apply optimum access techniques
Coordinate DDL and DML actions
Maintain database performance by identifying and resolving production and application development problems along with data integration
Install new releases, complete maintenance; answer any user questions
Prepare users by conducting training
Accomplish information systems and organization mission by completing related results as needed
Lead the data migration team to capture the current state of source databases, define the architect for target state and design the target data model
Lead the integration efforts with other work streams to realize the common goal of designing the target state architecture
Develops and validates data modeling solution
Responsible for analyzing and designing the process to capture the data lineage from source to target
Advise the implementation teams on the interpretation of proposed and final rules and rule requirements
Understand and drive resolution of complex issues
Define standards for naming, describing, governing, managing, modeling, cleansing, and enriching
Collaborate directly with the with Data Warehouse Enterprise Architect to build conformed models across multiple Data Warehouses
Over eight years proven data or integration architecture experience
Over ten years overall IT experience
Must have over five years of experience in database technologies, data design and performance optimization for large OLAP, Columnar DBs and Data Warehouse solutions
Must have very sound understanding of data access technologies, frameworks and patterns
Expert in relational and dimensional structures for large (multi-terabyte) operational, analytical, warehouse and BI systems
Skilled in data profiling, business domain modeling, logical data modeling, physical relational data modeling and design
Proven expertise in data analysis and facilitation; i.e. able to produce data designs using a variety of inputs such as requirements analysis, SME interviews, business process, data flow analysis, and data profiling
Ability to work in a large, complex business and technical environment
Experience with Insurance and/or Claims Data preferable
Experience with Erwin or similar data modeling tool
Strong SQL expertise is a must

155

Data Architect Resume Examples & Samples

Set technical direction for DRG's business units’ RWD data solutions
Be part of the team implementing the RWD platform and its capabilities using an iterative approach
Provide mentoring and technical leadership for distributed team of engineers (Full Time, Vendor and Contractors)
Work with Product Owners, Business Analysts, Architects and other stakeholders to participate in business requirements and produce technical designs and development plans
Communicate complex technical topics to non-technical resources and leadership. Provide technical input on alternative approaches to issues that arise
Communicate and enforce coding standards. Perform code reviews and support an Agile, Test Driven development methodology
10% travel to subsidiary sites and other locations

156

Data Architect Resume Examples & Samples

7+ years of data and analytics work experience
5+ years Microsoft SQL Server
5+ years Visual Studio/.net/Java/SOA

157

Data Architect Resume Examples & Samples

10+ years IT application development project experience including analysis, development and testing
5 + years experience of data warehousing/data mart/analytics projects
3+ years health insurance industry/data experience

158

Data Architect Resume Examples & Samples

Adheres to SYKES policies on ethics and integrity
Administration & maintenance of SYKES global data warehouses, operational data stores, and data-marts
Business analysis and solution design for data warehousing and reporting related initiatives
Data modeling for SYKES global data-marts, warehouses, operational data stores and applications
Extract, transform and load (ETL) process development and support using Microsoft SQL Server Integration Services as well as legacy tools (as necessary)
Participates in team or individual efforts to design data solutions for internal and external clients, with leadership responsibilities assigned as appropriate
Acts as a subject matter expert for the Data Services team, as well as internal and external clients, on key datasets
Helps to define and implement standards and practices for data warehousing initiatives throughout the company
Monitors and identifies warehousing-related performance issues
Problem analysis and troubleshooting
Design and development of some reports using Microsoft SQL Reporting Services
A commitment to quality work and the motivation to deliver that work in a fast-paced environment

159

Data Architect Resume Examples & Samples

Supports strategies to minimize net credit losses by maximization of dollars recovered from written-off accounts (outside collection/repossession agency/attorney management). This includes assisting with on-boarding new vendors by requesting and organizing information associated with the RFP process
Delivers continuously improving year on year expense results by improving processes and increasing productivity
Builds solid peer-to-peer relationships in a team environment to meet operational needs
Communicates effectively and clearly on a daily, weekly, monthly basis with outside vendors to provide exceptional customer service regarding routine requests
Supports rigorous quality, control and compliance programs to include an ongoing control/compliance self-assessment process
Performs data entry, system coding, inventory audits, reconciliations, etc. to ensure alignment between vendor systems and Ally systems
Responds promptly to vendor requests (information, data, letter generation, etc.) on an as needed basis
HS diploma or equivalent required
Prior experience in financial services or similar industry preferred. Associate's degree or Bachelor's degree in business or related may be used as a proxy for the experience
Basic knowledge of general/standard office and administrative procedures and methods
Basic data entry and word processing skills
Oral and written communication skills sufficient to provide routine information, greet visitors, answer inquiries, and refer calls
Computer skills sufficient to prepare policy manuals and enter data on spreadsheets
In limited subject areas judgment is required to determine the applicability of guidelines or policies to specific situations
Some ingenuity and initiative required to collect information, coordinate activities with others, and resolve routine and/or factual problems

160

Data Architect Resume Examples & Samples

Data Modeling- They need to be comfortable with ERwin and Power Designer to develop physical, logical and conceptual data models and diagrams
Data Analysis- Strong SQL skills and data profiling. Comfortable with Informatica or similar data profiling tool
Background in various platforms: Microsoft SQL server, Oracle, DB2 or Netezza
Understands the "big picture" and constituent parts
ITSM/ITIL

161

Data Architect Resume Examples & Samples

House database expert and authority by defining, implementing, and enforcing all data integration standards and documentation. Review and suggest improvement to the data architecture processes, policies, and vision and explore new and emerging technologies. Lead the investigation and adaptation of beneficial data architecture technologies and tools and lead strategy, development, and implementation of an Enterprise Data Model and strategy development for usage of Operational Data Stores. Develop transparent and well understood enterprise data governance processes, rules, and technologies to support them, identify and promote best practices for data modeling within information areas, and provide oversight for all activities related to data cleansing, data quality, and data consolidation
6 years of experience with data architecture, data modeling, and database design and administration, including Sybase
Experience with Sybase ASE, Sybase replication server, and Enterprise Data Connect (ECDA)
Experience with data modeling tools, including ERStudio and ERWIN
Knowledge of relational DBMS and SQL
Ability to present solutions precisely to various levels of management and work across different groups and perform limited project management to implement the proposed solutions
Experience with database related project management
Experience with data analytics and business intelligence solutions
MA or MS degree in CS or IT
Database and project management certifications

162

Data Architect Resume Examples & Samples

Design, develop, test, and deliver self-service infrastructure and business intelligence (BI) content including reports and dashboards to business professional using the IBM Cognos BI and Qlikview
Gather requirements from business users, build out process analysis, schedules and assignments, communicate status updates, and coordinate user acceptance testing and issue management
Develop best practices for solutions that help end users access and analyze data in data warehouse, data marts, and operational systems
Assist business users with Cognos Ad-Hoc reporting and troubleshooting post-production issues
Provide Cognos training and data warehousing space to business users
Promote and provide support for BI solutions/capabilities to the business user community as well as executives
Interact with other BI team members, offshore team members, and cross-IT staff on support and project activities
Perform early stage analysis of reporting requests to formulate high level approach and estimates
Design and support the data model required for all reporting needs inside the company
Work primarily with data modeler, ETL, and BI Manager to design business intelligence and operational reporting solutions
Articulate data sourcing and data model requirements to ETL and database resources and collaborates on development
Optimize query performance of SQL statements and ETL jobs
Contribute to the ongoing development and improvement of BI reporting processes and standards
Execute rapid prototyping for new report requirements using open source, Hadoop, etc

163

Data Architect Resume Examples & Samples

Familiar with Oracle
Familiar with ElasticSearch
Familiar with MongoDB
A minimum of thirteen (13) years experience in software engineering/development and/or systems engineering/analysis
Must possess experience in all phases of software engineering to include requirements analysis, development, testing and integration, maintenance and problem diagnosis/resolution and/or experience in phases of applications systems analysis to include evaluation and design, integration and optimization of complex systems
Must have experience with communication applications, database management, use of programming languages and knowledge of storage and retrieval methods
Responsible for developing applications software for small to highly complex computer systems or portions of large integrated systems and/or for providing analysis and engineering of functional aspects of software and hardware architecture and system support
The candidate will prepare detailed specifications from which software products will be designed and/or candidate will translate documented designs into software products by developing, documenting, testing and debugging code
Applications generally deal with utility programs, job control language, macro, subroutines and other control modules
Candidate shall be competent to work at the highest level of all phases of software engineering and/or all phases of applications systems analysis with minimal direction or oversight
At least three years of direct experience with and intelligence community or signals intelligent activity

164

Data Architect Resume Examples & Samples

Utilize languages such as: NoSQL, SQL, XML, Hive, Pig, Spark
10+ years of experience in data management / development
8 - 10 years experience Unix Shell Scripting
8 - 10 years developing ETL processes
5 years experience in SSRS/SSIS
Knowledge of Hadoop/Big Data Technologies
Experience with Tableau Technologies
Experience with Datameer
Experience with HBase
Experience with Sqoop
Experience with SPLUNK

165

Data Architect Resume Examples & Samples

Analyze and translate client's needs into an industry-leading enterprise data architecture that seamlessly integrates the current system and data asset with the new strategy
Develop the vision for an ever-evolving Data Quality improvement strategy that not only satisfies current needs but can be easily adapted to future needs as new sources of data input and requirements for data output are identified
Responsible for designing, testing, deploying, and documenting data quality procedures and their outputs
Partner with data stewards to provide summary results of data quality analysis, which will be used to make decisions regarding how to measure business rules and quality of the data
Document at a functional level how the procedures work within the data quality applications
The primary tasks associated with this role are to use data quality tooling to profile the project source data, define or confirm the definition of the metadata, cleanse and accurately check the project data, check for duplicate or redundant records, and provide information on how to proceed with backend ETL processes
Work closely with data stewards, ETL developers, and business analysts demonstrating the ability to partner and maintain confidence as it relates to coordinating disparate information while being able to translate for downstream consumption
Research all available technologies, determine suitability and provide guidance on the best solution for the project at hand
Guide team members by offering support, advice and best practices recommendations throughout the project implementation
Employ extreme attention to detail and flexibility to adapt to dynamic client environments and changing business, operations and technology priorities
Support prototyping activities that will validate business requirements, solution definition and minimize risk
Assist in data quality assurance and testing strategy
Work directly with team members from different lines of business and the applications development teams
Involved in resolving complex data related issues
Think and plan strategically while formulating software / data specifications; thus aligning with the long-term business roadmap
Delegate work to offshore team members and validate the work done
Minimum of seven years related experience in leading strategies, designing approaches and understanding technologies for Data Quality processes in large scale data management environments
Strong knowledge of Data Quality improvement tools such as IBM Information Analyzer, Informatica IDQ and IBM Quality Stage
Extensive experience with and success in managing projects from inception to production rollout and support
Outstanding communication skills that foster professional relationships among internal and external team members as well as efficient work processes
Strong hands-on SQL experience is required to facilitate analysis and implementing data transformation rules

166

Data Architect Resume Examples & Samples

Plan, design and implement Data Management Program
Develop high level architecture/ Roadmap/blue print
Study As-is and To-be architecture – Identify Gaps
Implement Data Management Maturity Model (DMM) concepts
Recommend improvements – processes, policies, tools
Organizing and managing the technical DATA team of data architects, data modelers, engineers and providing leadership, guidance, and mentoring
Improving and implementing the Data Warehouse/ETL/data mining/data visualization processes
Collaboration/coordination with rest of the team in each Data-Phase to deliver artifacts
Producing and maintaining requirements, data architecture, and design documents
Maintaining an environment conducive to professional growth and staff development
Solid understanding of industry standards and IT terminology, technical concepts, data architecture, DMM and database administration principles and procedures - Experience developing and maintaining project plans including schedules, project requirements, and delivery
Hands-on expertise in the full data lifecycle areas of: data modeling, ETL, data warehousing, reporting, data exploration and visualization, analytics and data provisioning - Extensive experience in IT- relevant industry areas and an understanding of the surrounding strategic issues that may impact potential customer - Excellent presentation, written, and verbal communication skills at both the engineering and senior executive levels - Superior analytical and problem-resolution skills, with attention to details - High energy, strong work ethic, and able to perform within condensed timeframes - Developing and maintaining best practices and maintaining required documentation - Perform requirement analysis and makes recommendations - Possess or able to obtain a DoD IAT Level II IAT baseline certification (e.g. CompTia Security + CE) (this is a day 1 requirement) - Possess or be able to obtain a computing environment certification in accordance with DoD Mandate 8570 (obtain within 180 days from hiring)
Bachelor’s degree in Computer/Engineering and 5 years’ experience or related experience or a Master’s degree and 3 years’ experience
A minimum of 5 years of successfully performing in a role of major responsibility tied to large data intensive projects with tight deadlines
5+ years of comprehensive database experience with SQL Server and/or Oracle
A minimum of 5 years of professional experience as a Data Engineer / Data Architect
Advance degree in Computer Science / Computer Engineering / Information Systems or related discipline
Experience in data modeling and database design, knowledge across all phases of data modeling, from conceptualization to database optimization
Performance problem identification and resolution assistance
Data security, recovery, database health practices

167

Data Architect Resume Examples & Samples

Assesses complex problems and investigates, develops, appraises, selects, and presents solutions. Initiates concept development and trade-off studies
Interfaces extensively with customers, employees, and managers
Responsible for researching, planning and overseeing the implementation of complex systems level design concepts and equipment to include interfacing
Provides guidance to less experienced systems engineers
Performs complex assignments with little guidance
Certification in a cloud technology a plus
Version control systems

168

Data Architect Resume Examples & Samples

Reviews, evaluates, and designs data services, physical and logical data models and implements high quality data architectures
Provides unique expertise in data system design, applied to complex healthcare-related data from disparate data sources (such as Electronic Medical Record extractions, clinical trials data, healthcare outcomes data, etc.)
Designs and develops database systems, together with their corresponding data models and high-level information architecture
Identifies key data sources from target systems to meet project requirements, constructs data quality control solutions, provides data flow diagrams and implements conformant data warehouse designs to support high-quality reporting, analytics and BI
Designs and implements ETL processes for efficient data extraction from disparate clinical systems and databases
Data management and analysis, including daily data updates, review, and evaluation; query and stored procedures revision; data scrubbing; code modifications and construction; design and implementation of Date Dictionaries and Data Standards
Strong conceptual, logical and physical data modeling, data lineage \ data flow mapping and data quality
Strong years of data warehouse design and development
Prior solid experience with healthcare \ life sciences \ clinical trials \ pharma data
Strong experience with at least one RDBMS, e.g. Oracle, SQL Server, etc
Strong SQL \ T-SQL \ PL/SQL
Strong skill in the use of least one ETL tool, e.g. SSIS, Talend, etc
Strong skills in general software development and systems administration, e.g Linux sys admin, Java development, etc

169

Data Architect Resume Examples & Samples

10 years data modeling experience with large scale models
Expert with data modeling tools (Erwin / ER Studio)
Experience in Data Architecture and Database design patterns
Thorough understanding of database technologies (RDBMS and NoSQL)
Expert in Search Engines and their optimizations (Solr, ES etc.)
Ability to reverse engineer existing databases
Ability to build both transactional as well as dimensional models
Experience mapping data elements for ETL purposes
Experience generating physical DDL to deploy to databases
Create and maintain the Enterprise Data Model at the Conceptual, Logical and Physical Level
Steward of Enterprise Metadata Architecture & Standards
Strong skills in data modeling, partitioning, parallel query, performance analysis (xplan, statspack), tuning, and handling large data volumes
Strong experience with UNIX support tasks, scheduling and scripting skills
Strong knowledge of relational DB normalization
Strong Oracle background is a plus
Participates and leads the creation and maintenance of Canonical Models for Integration
Leads proof of concepts certification, vendor and product selection for data management technologies
Proven ability to meet deadlines
Experience with Elastic Search

170

Data Architect Resume Examples & Samples

Experienced in design and implementation with Big Data Solutions and distributed applications
Experience in data warehouse or database architecture
Experience with startup or startup like working environment
Bachelor's degree in Computer Science or equivalent; Masters preferred
Demonstrate high learning agility
8+ years software/technology client-facing experience

171

Data Architect Resume Examples & Samples

7+ years design and implementation experience with distributed applications
5+ years of experience in infrastructure or database architecture
3+ years of experience in cloud application architecture using AWS
Open to upto 50% travel when needed
3+ years software/technology client facing experience
Experience architecting/operating solutions build on MS Azure, IBM Cloud, Salesforce, etc
Architecture and security certification
Design cloud-based architectures to build and scale digital solutions including statistical data analyses, data mining, BI, Data warehouse and optimization
Help clients migrate to cloud by providing strategic direction, designing and driving architecture and implementation plan
Implement robust security measures
Practice DevOps and agile principles
Technology thought leader with McKinsey and Client teams
Be a Big Data/Cloud evangelist. Educate McKinsey and Client teams on Big Data/Cloud Architecture
Lead technical design workshop to co-create solution and architecture with client
Participate actively in external/internal meetups e.g., speak at conferences, author book

172

Data Architect Resume Examples & Samples

Bachelor's degree in Computer Science or equivalent, Masters preferred
Open to upto 50% travel
Participate actively in external/internal meetups e.g., speak at conferences, author boo

173

Data Architect Resume Examples & Samples

Advanced knowledge of standard data modeling tools, include Erwin 7.3 or Embarcadero ERStudio 9.0
Experience in implementing at least one project in the big data space
Contributes to establishment of Enterprise Data Standards
Develops strategies for warehouse implementation, data acquisition, and archive recovery
Provides consultation on complex projects and is considered to be a senior level contributor
Expert understanding of database architecture and design
Advanced knowledge of standard data modeling tools, including Erwin 7.3 or Embarcadero ERStudio 9.0
Expert in design and development of relational data warehouses and OLTP systems
Excellent verbal and written communication skills, client relation skills, and the ability to work effectively as a leader in a technical team environment
Works well within AGILE project management methodology
Works well in a fast-paced environment
Ability to present ideas and updates to senior management
Ability to work with business users
Direct inquiries only
How to Apply: Click on the Apply button to apply for this job

174

Data Architect Resume Examples & Samples

Thoroughly understand the company's business, industry, products, and product data architectures
Viewed as data subject-matter experts and provide recommendations to project team members and less experienced data analysts on data architecture directions
Act in a leadership capacity by leading the transformation/maturity of data services and components of Master Data Management and Data Governance initiatives
Act as a project leader for internal group projects
Build and sustain trusted partnerships across the Enterprise
Perform and facilitate data warehouse architecture and analysis and perform/lead dimensional data warehouse design and modeling
Analyze business requirements and gather data requirements to build complex conceptual, logical, and physical data models
Use group facilitation and other advanced interviewing techniques to gather data requirements and perform complex impact analysis
Restructure data for conversions to a database management system
Perform reverse engineering to analyze data of existing applications
Research, recommend, and promote data modeling standards (e.g., modeling conventions, naming standards, domain definition, etc.)
Analyze and design meta data
Ensure reuse of existing data
Troubleshoot and resolve table and/or component interfacing issues
8+ years data modeling and other data oriented work experience
Applicable industry-related experience
Preferred post-secondary education in a computer-related field of study
Demonstrated proactive leadership in the maturity of data services across an Enterprise
Demonstrated establishment of trusted partnerships across the Enterprise
Emphasis in leading significant data initiatives in various data dimensions (e.g. Master Data, Meta Data, Big Data & Analytics, etc.)
Demonstrated experience in designing and implementing data warehouses, data marts, etc .using star schemas, dimensional modeling etc

175

Data Architect Resume Examples & Samples

6+ years of experience with information and data architecture
Experience with data modeling and developing logical and physical data models
Experience with database design
Knowledge of ERwin or other data modeling tool
Knowledge of configuration management concepts and processes
Experience with UML modeling tools, including IBM Rational System Architect preferred
Experience with Oracle 11g, 12c, and RAC
Experience with developing enterprise information management strategies and plans
Experience in working with federal government organizations
Knowledge of Open Data Requirements
Active Public Trust clearance

176

Data Architect Resume Examples & Samples

Bachelor’s degree in Computer Science, Information Systems, another related discipline, or equivalent work experience in the software development field will be considered
10+ years of experience in delivering enterprise-class, mission-critical, commercial, and scalable products
10+ years of experience with Microsoft SQL Server. Recent 2012 and/or 2014 experience is preferred
5+ years of experience with offline data systems including data warehouse and data mart design and implementation
Full understanding of the software development life cycle
Strong knowledge of data modeling and ETL best practices
Offline data stores: data warehouse, data mart, data lake, etc
Domain-Driven Design
Micro-Services Architecture
Modeling data for modern systems and distributed application architectures
Writing, troubleshooting and optimizing SQL queries
Designing and implementing ETLs and data migrations
Replicating or otherwise making transactional data available to back-end uses without negatively impacting the transactional systems
NoSQL, non-relational data stores including
Quickly learn and apply new concepts, information, techniques and tools
Work independently as a self-starter with a hands-on approach
Define problems, collect data, establish facts, and draw valid conclusions
Comprehend multiple abstract and concrete variables simultaneously
Remain detail oriented while multitasking and meeting multiple deadlines
Work on multiple projects at a time in a fast-paced team setting
Work with diverse groups of technical teams and non-technical business teams

177

Data Architect Resume Examples & Samples

3+ years of experience of deep experience with designing and scaling data
1 Experience in OLTP, OLAP, and unstructured data across numerous data platforms
Statistical modeling / data mining: Strong familiarity and hands-on experience with SQL/ NOSQL and statistical software packages (Python, R or SAS)
Cloud, big data, stream analytics experience

178

Data Architect Resume Examples & Samples

Create data architectures and logical and physical data models to support program/project initiatives in
Define measurable metrics and the minimal required attributes for each domain or subject area to
Assess the enterprise requirements, understand the current state of data integration challenges, and
Ability to serve as a change agent for enterprise & analytics architecture and influence technology
Bachelor’s degree in engineering, information technology, or computer science
TDWI’s certifications such as Certified Business Intelligence Professional (CBIP) or any other relevant

179

Data Architect Resume Examples & Samples

Client Credit Data Architect Data Architecture and Information Services (DAIS) is the group within the Enterprise Architecture Management and Services (EAM&S) department that is responsible for developing and maintaining data structures (physical database objects) and a repository for the formal definitions of the data and data structures (Global Data Dictionary) for all of client Credit globally
This includes data models, database structures, data flow diagrams, data model-equivalency mappings for new structures, storing data definitions, etc
Our areas of involvement are data modelling, metadata management and business semantics. We are also responsible for enforcing global standards on the above, and ensuring global consistency in accordance with Credit’s Global Data Strategy
Working with application & business resources to develop information/data architecture requirements
Responsible for the gathering of data architecture requirements through facilitated sessions of Use Cases and for designing data models based on those requirements
Understand data architecture requirements across projects working with the functional owners and business analysts and consolidate data architecture requirements
Develop new data structures in operational databases or data warehouses/marts to support online transactional processing (OLTP) or business intelligence (BI) following the global data strategy
Create Database Change Requests and Data Definition Language (DDL) to implement and maintain database structures
Ensure the accuracy, validity, and reusability of meta-data via GDD (Global Data Dictionary)
Assist application teams with database performance improvements
Experience in database design with transactional or analytical databases preferred
Proficiency with the following applications: ERwin, SQL, and technologies
Experience working with business customers and global groups
A strategic view and approach to streamlining current data architecture and process
Experience in DB2, Oracle, SQL Server, or Teradata and knowledge of associated tools
Prior knowledge or experience of Credit Data Architecture Processes
4 Year College Degree

180

Data Architect Resume Examples & Samples

Work with clients, business analysts, technical staff, and project team members to plan, design, develop, implement, and enhance applications, scripts, procedures, and metadata for relational databases
Create maintainable, scalable “Extract, Transform, and Load” (ETL) code to load and manipulate data in the data warehouse
Ensure the quality, completeness, security, privacy, and integrity of data throughout the data lifecycle
Define and promote best practices and standards for information architecture and management
Serve as a key contributor in the research, evaluation, and procurement of appropriate database technologies and related tools
Work collaboratively with clinical program analytical and data management teams to develop analytical tools to manage/measure care processes, models, and clinical guidelines
Demonstrated success applying best practice performance tuning technologies and techniques to both database structures, as well as database queries and procedures
Understanding and experience in applying project management principles and best practices for development or procurement projects
Demonstrated understanding and successful application of proven database design principles such as: requirements analysis, data normalization, data modeling, risk management and quality assurance and for both On-line Transaction Processing (OLTP) and On-line Analytical Processes (OLAP) database systems
Possess a thorough understanding of: Business Intelligence/query and reporting tools and technologies, Structured Query Language (SQL), Procedural programming fundamentals
Comfortable and confident filling the facilitation role of design and analysis team meetings
Must possess excellent oral and written communication skills; must speak well in small groups and in other contexts, write precise, well-organized emails, letters and proposals while using appropriate vocabulary and grammar
Experience with Microsoft SQL Server 2005/2008/2012
Possess knowledge of quality improvement principles, theory, study design and statistical modeling/analysis
Possess an understanding of healthcare delivery and its associated administrative processes
Experience with current Extraction Transformation and Loading (ETL) tools and technologies

181

Data Architect Resume Examples & Samples

Understanding new tool implementation in a transformation and supporting the right processes in order to get systems in place
Strong experience with tool integration into environments with various tools and technologies like SAAS and homegrown platforms
Responsible for information architecture
Conduct proof of concepts
Implementation of tools and technologies into the environment
Exposure to COTS implementation
Being influential in how systems are being implemented
Strong experience with Microsoft VISIO

182

Data Architect Resume Examples & Samples

Design and build efficient ETL/ELT process to move data through the data processing pipeline to meet the demands of the business use cases
First-hand experience – Have a minimum of 6 years of professional experience focusing on building data movement and integration pipelines (especially ETL/ELT) in a large-scale data environment leverarging the latest open source and Java technologies
Visionary -- Solid understanding of software development from design and architecture to production
Have a data toolbox – Familiar with technologies relevant to the data and integration space including Hadoop, Redshift, Python, DI/DQ tools (like Talend), and MDM tools (such as Falcon)
Affinity for sports
Experience with Chef
Proficiency with agile development methodologies.Proficiency with linux/unix based systems
Bachelor’s degree or higher in Computer Science or a related technical field or equivalent job experience

183

Data Architect Resume Examples & Samples

Must possess all requisite knowledge, skills, and abilities as posted
Must demonstrate strong critical thinking and analytical reasoning skills
Ability to work on multiple priorities effectively
Ability to prioritize conflicting demands
Ability to execute assigned project tasks within established schedule
Ability to communicate effectively in the service of users and colleagues
Writes and communicates clearly and concisely
Possesses sound documentation skills
Must demonstrate exemplary customer service skills
Experience in Higher Education preferred
Experience in data driven applications, data presentation layer interfaces, data analytics across multiple sources, data reporting
Experience with business intelligence, analytical data mining Oracle SQL functions
Experience in relational databases (oracle/SQL server PLSQL language). Certification will be preferred
Experience with reporting tools such as Tableau , SQL server reports, Jasper soft reports
Experience with version control, change management, unit testing, peer review, QA
Experience on an Agile (Scrum) projects
This candidate must have some familiarity on data science , data mining and data analysis using R, Python or SAS
This candidate must be able to adapt quickly to an evolving technical landscape including industry standards, internal architecture, and customer needs
This candidate must have the ability to analyze and solve those business problems, and assess business needs to recommend and implement appropriate information technology solutions
This candidate must strive for technical innovation and efficiency
This candidate must be able to learn experientially and adapt to new systems quickly
This candidate must be comfortable operating in a deadline-driven environment
This candidate must be comfortable facilitating small and large meetings

184

Data Architect Resume Examples & Samples

Work diligently in and contribute to a fun, fast-paced, motivating and rewarding environment
Collaborate with others across the business to understand our customers needs and develop solutions for important problems
Design, document and help in implementing solutions that meet business, functional and nonfunctional requirements, and standards
Document and communicate design docs and also be responsible for communication with external customers, engineering and SLT
Excellent verbal and written communication skills (English - for non-US locations)
Strong technical engineering skills
Must have a working knowledge of some of the recent frameworks being used in the industry
Must be competent with Hadoop and real-time systems architecture
Flexibility - ability to work in an agile, fast-paced environment. Must be 50% hands-on
Be able to document and discuss design with both Senior leadership team and also the engineering team
Be able to give input on tools and environments used
Make sure that the software being developed and the system architecture are in sync
Have a phased approach to the final design so the system can be delivered in stages and still be functional
Resolve technical problems
Resolve disputes and make necessary trade-offs
Startup experience - a plus
Big data knowledge - a plus
Plugged into the data engineering data science community - a plus
Open source contribution - a plus
External presence in the data community (e.g. conferences, open source projects, meet-ups blogs, social media etc.) - a plus
Minimum degree: Bachelors; a plus: Master’s or Ph.D. Area of focus: engineering/science/applied math discipline. Minimum number of years experience: 8-10

185

Data Architect Resume Examples & Samples

Is comfortable working directly with business partners in Marketing, Finance and Operations at all levels of the organization (senior leadership, resort partners, and other technologists)
Possesses “can-do” attitude to dig into existing challenges, get creative, and efficiently build out solutions across the business
Is flexible and capable to work in different technologies and roles to achieve project goals
Has experience with SQL Server, SQL Analysis Services and SQL Reporting Services
Has experience building, operationalizing and maintaining data warehouses with different schemas
Has experience working with ETL technologies, specifically Informatica & SSIS
Has experience with Force.com Development (Apex, Java, etc.)
Has a passion for statistics & analytics, process engineering, and information management
5+ years of experience with Microsoft SQL Server, including SSAS, SSRS, SSIS
3+ years of experience with Master Data Management principles and technologies
3+ years of experience with Salesforce.com
2+ years of experience with reporting tools, like Micro Strategy, Tableau, PowerBI

186

Data Architect Resume Examples & Samples

1) 5+ years of experience with information modeling, information visualization, data modeling, data management technologies, data integration, data sourcing, data analytics, data warehousing, metadata, semantics and ontologies
2) Familiarity with modern data management concepts including Big Data stack, NoSQL, in-memory DBMS and data caching; graph databases, RDF/triple stores, and Wiki-based solutions
3) Familiarity and experience in data protection and information security
4) Strong understanding of large scale system, information and technology architectures, including application integration patterns, messaging, service-oriented architecture, information models, and data lineage
5) Hands-on experience with data and process modeling tools (e.g., ERWin, ProVision, MagicDraw, PowerDesigner), and working knowledge of programming languages such as: Python, PERL, Java, JavaScript, C++, shell
6) Demonstrated ability to work individually and as a part of the team in a collaborative manner
7) Demonstrated ability to deliver results under demanding timelines to real-world business problems
8) Willingness to learn new technologies, methodologies, applications and grow with team
9) Strong writing and communication skills

187

Data Architect Resume Examples & Samples

Award-winning education and training across multiple career paths to help you reach your potential
A comprehensive benefits package designed to enhance your health, your financial well-being and your future
Minimum 7 years work experience as a Data Architect, 10 years preferred
3+ years’ experience with database design and optimization on Oracle or SQL Server database platform
Demonstrated strength in data architecture (both OLTP transactional, real-time databases as well as Data Warehousing & Data Marts)
Demonstrated strength in data modeling of fully attributed models (Normalization, Star Schema)
Demonstrated expertise with repository creation and data and information system life cycle methodologies
Exposure to OLAP and Reporting tools (Cognos)
Excellent client/user interaction skills for requirements gathering
Hands-on knowledge of enterprise repository tools, data modeling tools (Informatica or ETL), data mapping tools, and data profiling tools
Strong Data Analysis and Data Architecture skills
Expertise in one or more CASE tools (ERwin, ER/Studio, etc.)
Strong ANSII SQL skills
Strong knowledge of Master Data Management (MDM) and associated processes
Strong knowledge of metadata management and associated processes
Ability to define and manage data and metadata migration
Ability to work effectively in a matrixed organization
Ability to clearly explain technical concepts to non-technical teammates
Self-directed; able to work independently; demonstrated ability to work in a team, facilitate effective team interactions, and to foster a positive work environment; willingness to assist teammates in order to achieve departmental goals
Demonstrated strengths in organizational, attention-to-detail, follow-through, and problem-solving skills
Strong written, verbal, and interpersonal communications skills including ability to listen attentively and to communicate information clearly and effectively
Strong analytical skills with the ability to seek underlying assumptions through probing, questioning, and listening
Strong organizational and planning skills – keeps self and others well organized and on task

188

Data Architect Resume Examples & Samples

Minimum of ten (10) years of specific in-depth experience in developing and operating data architecture programs based on GAO and OMB guidance
Demonstrates strong knowledge of Federal Enterprise Architecture programs (principles, concepts, transition strategies) at multiple Federal government agencies, with a specific emphasis on data architectures
Possesses data architecture best-practice experience from other Federal agencies
Coach and mentor junior staff members

189

Data Architect Resume Examples & Samples

Enterprise Data Strategy development
Governance and adoption of enterprise architecture data models
Development and maintenance of the conceptual, logical and physical data architecture
Data governance and data management strategy and to carry-out process and data analysis within agreed standards
Understanding of BI strategies, delivering through the full lifecycle
Experience with data modelling / management tools - ER Studio, Data Modeller
A pragmatic approach – call upon your experience to understand what works and what doesn’t, to strive to reduce complexity and improve supportability
Think outside the box – apply emerging technologies to reduce cost to serve and maximise speed to market
Leading teams of technical architects to deliver and govern the technical design
Distil complex technical problems and solutions to less technically versant decision makers
Working with 3rd party and offshore development teams
Delivering designs capable of meeting stringent non-functional requirements relating to performance, security and scalability
Oracle and Teradata database platforms and Big Data solutions
Data Quality, MDM and ETL processes
Data Security and Standards
Integration technologies, standards and patterns
Cloud platforms
Agile/iterative frameworks
A retail and/or financial services business

190

Data Architect Resume Examples & Samples

Data Architect with a minimum of 10 years’ experience
Experienced PMP and CSM is preferred, Six Sigma, or similar certifications is a plus
Previous experience in key management and thought leadership roles in the areas of advanced data techniques , including data modeling, data access, data integration, data visualization, text mining, data discovery, statistical methods, database design and implementation is required
Previous experience in designing data warehouse (DW) schema and defining ETL or ELT processes for DW
Wide-range of data expertise with RDBMS, SQL, MPP, OLTP, OLAP, NoSQL, Hadoop, M/R, Unstructured
Oracle and Microsoft SQL server experience specifically with SSIS and SSRS
Ability to develop database solutions by designing proposed systems and defining database physical structure and functional capabilities, security, back-up, and recovery specifications
Ability to establish standards and guidelines for the design and development, tuning, deployment and maintenance of information and advanced data analytics
Ability to lead the development of enterprise architecture governance structures based on business and IT strategies
Experience with structured business analysis using tools and techniques and demonstrated use and knowledge of Project Management methodologies and processes
Excellent communication (written and verbal), organizational and planning skills
Ability to work in a team environment and interface well with associates at all organizational levels

191

Data Architect Resume Examples & Samples

Develop Data/Information Architecture solution data components, high level baseline and targets
Document the data architecture as-is and ensure the to-be architecture meets the needs of all the functional business areas
Determine the effectiveness of data architecture design, create necessary implementation/migration plans, and recommend new solutions as required
Participate in the data governance framework including processes for governing the identification, collection, and use of data to assure accuracy and validity
Work with IT and the business to ensure consistency in data definitions and data usage across systems and tools
Act as the point of contact for definition of data requirements, structure and taxonomies
Support in-solution development by leveraging infrastructure architecture standards, practices, assets and frameworks
Manage and direct the activities of up to two direct reports
5+ years of experience in data architecture design
Bachelor’s degree in Computer Science or related field required/ Advanced degree strongly preferred

192

Data Architect Resume Examples & Samples

Independently drive the scope and requirements with minimal guidance
Understand, prototype, analyze and validate requirements
Gain business knowledge, understand data flow, business process/ rules and data usage
Impart user education and recommend solutions
Undertake and perform activities that advances overall customer satisfaction

193

Data Architect Resume Examples & Samples

Develop, document, and maintain data standards
Develop and maintain subject area data models such as Customer, Traveler, Booking, Rates etc
Create key message schemas based on no-SQL data stores
Assist in requirements gathering and reviews for new initiatives
Analyze complex data structures and flows
Requirements data mapping and gap analysis for new capabilities
Prepare documentation and best practices
Provide guidance and expertise on Performance Tuning
BS Degree in Computer Science or related field
10+ years industry experience out of which 5 years as a Data Architect for a large enterprise
5+ years of experience with database technologies (e.g Oracle, MySQL, SQLServer)
3+ years of industry experience with no-SQL databases such as MongoDB
Significant experience in Data Architecture & database Design
Expertise in data modelling in tools such as ERWIN
Expertise in developing JSON model definitions
Experience on data quality, integration, and governance
Expert knowledge of enterprise data warehousing concepts and best practices
Ability to think through multiple alternatives and select the best possible solutions for strategic and tactical business needs
Excellent written and oral communication skills, fluent in English
Experience in Agile team environments
Travel industry knowledge a plus

194

Data Architect Resume Examples & Samples

Determines appropriate data structures for various software development projects and manages metadata in the DMS
Coordinate with platform team to manage the implementation and rollout of data structures
Assists with database-level performance analysis and troubleshooting
Creates specifications for more complex, high level enhancements. Serves as subject matter expert for the enhancements for the Developers and Project Managers. Solves product, system and content issues
Provides training, technical support, and functional support
Ensure database design and metadata conforms to directed and de facto SPGMI standards. Helps ensure uniform implementation across platforms and applications
Remains current in software-development and database technology through self-study, programming books, online journals, newsgroups, trade magazines and offsite training
Solid understanding of Microsoft SQL or equivalent databases is required. Basic knowledge and understanding of SPGMI database and corporate structure, systems, products, and services preferred
Basic database design knowledge
High level understanding of programming
Basic understanding of financial concepts preferred. Knowledge of the development platforms used by SPGMI
Prior SPGMI experience, technical training or two or more years of experience in an analytical and database design capacity preferred
Understand and be able to implement database design best practices
Experience working in all phases of software development cycle and within a team environment

195

Data Architect Resume Examples & Samples

Candidates having more than 5+ years of experience will be considered for this role
The candidate must know to write and design SQL queries
They also need to write scripts in SQL
The candidate must have Investment domain knowledge
The client needs more of a designer than a BA
The requirement is for Data Warehousing project
The candidate should have deep understanding of data warehousing concepts
5+ Years of experience is must
Good to have 4+ years in writing and designing queries
Investment domain knowledge is a must

196

Data Architect Resume Examples & Samples

Key role to support Data Strategy and Architecture programme for Fin Crime
Ensure adherence to the Bank’s Data Management Policies and Standards
Support the definition of technical standards and guidance for the technology development groups
Support of Regulatory and other Bank wide Data initiatives for Fin Crime

197

Data Architect Resume Examples & Samples

Determines appropriate data structures for various software development projects and manages metadata in the DBMS
Coordinate with platform team to manage the implementation and roll-out of data structures
Ensure database design and metadata conforms to directed and defacto S&P Global standards
Helps ensure uniform implementation across platforms and applications

198

Data Architect Resume Examples & Samples

Identify and document data assets within the firm
Determine the provenance of data feeding into key processes and ensure that adequate controls are in place
Ensure best practise for data governance and stewardship is followed across the group
Drive operational change that will improve data quality and security
Staying abreast of relevant industry trends and legislative changes
Oversight of BI and data warehousing projects

199

Data Architect Resume Examples & Samples

Lead his/her team to produce a clear definition of architecture requirements for assigned projects and areas of responsibility
Retain working knowledge of the technology environment in use at BBVA Compass as well as working relationships with the functional area experts
Ensure his/her team establishes functional and technical designs in compliance with IT enterprise standards
Work with project teams to determine technology architecture. For some projects, serve the technical lead function
Coordinate as necessary with the BBVA Architecture organizations

200

Data Architect Resume Examples & Samples

Work with the Senior Database Architect to define database architectures and communicate those designs to business and engineering partners
Analyze existing data design and suggest improvements that promote performance, stability and interoperability
Work with product management and business subject matter experts to translate business requirements into good database design
Provide database architecture leadership and mentor projects consisting of TW employees and outside contractors
Maintain the governance model on the database architecture through training, design reviews, code reviews, and progress reviews
Participate in the development of Database Architecture and Roadmaps in support of business strategies
Establish and maintain database architecture standards and best practices

201

Data Architect Resume Examples & Samples

Connect the data to the business processes
Provide guidance to data analysts and data scientists
6+ year of experience designing and developing data solutions for reporting, transformation or strategic initiatives
Ability to obtain and maintain a secret required Public Trust Clearance for this role

202

Data Architect Resume Examples & Samples

10+ years of experience of implementing large data migration programmes for global banks
Architect overall technical solution using the available technologies
Drive technical requirement gathering workshops to identify data migration requirements for each release
Lead overall technical migration solution with partner consultants and NTT Data team
Develop Architecture standards/guidelines/policies based on the bank’s needs, regulatory requirements and anticipated technology advances to guide project teams
As a Tech Architect, within the Banking Consulting Group, the person will be responsible to engage with clients across the stages of the Project Lifecycle – Requirements gathering, Mapping processes, Solution architecture & Design through to development, UAT and deployment. Consults with business on low to moderately complex business needs
Banking domain experience is must with Good knowledge of technology and business trends in financial industry
Good communication skills with ability to lead domain discussions with BFSI customers
Bachelor’s or Master’s degree in Computer Sc. or Computer Eng. or above in related IT discipline
Strong System Architecture and/or system integration hands-on-knowledge
Quickly consume and analyze business and technical requirements as input for crafting high quality and well-conceived solutions
Provide input to the development of project initiation documents including objectives, scope, approach, and deliverables
Provide leadership / guidance to the development teams during the analysis, development and testing processes, getting hands-on in the development as necessary
Experience in ETL tools including Informatica Powercentre
Prior experience working on Validata Tool will be preferred
Establish, Maintain and Adhere to Enterprise Data Modeling and Data Integration Standards
Work closely with users to understand and help develop functional specifications
Formulate Technology strategy, Architecture guiding principles and Technology roadmap from the business strategy and key processes and documents how the current and future bank’s needs will be met in an efficient and effective manner

203

Data Architect Resume Examples & Samples

Designs and delivers flexible and performant databases which align with business and firm goals
Develops enterprise wide guidelines and standards for database design
Collaborates with Data Engineers and DBA’s as part of Database Design and Development
Engages Solution Architects to develop ETL/Data Integration/Data Processing Flows
Supports minor database change requests as needed
Develops and maintains enterprise data models for enterprise class data initiatives
Supports ETL teams in development effort if needed
Works with development teams to understand and make recommendations on proposed database structures and data flows
Minimum of a Bachelor’s Degree in MIS, Computer Science or related degree and seven (7) years of relevant experience or an equivalent combination of education, training and experience
Expert Level working knowledge of Database Design and various Data Modeling Principles
Extensive Experience with Oracle & SQL Server as a Database Platform

204

Data Architect Resume Examples & Samples

Develop/Enhance the logical model to support the requirements from strategic initiatives
Enhance the conceptual model, working with Business Analysts, to include the client data attributes referenced in the strategic initiatives
Maintain the logical model to support the business as usual data attribute changes
Develop and maintain lineage among Conceptual Data Model, Logical Data Model, and Physical Data Model
Serve as a subject matter expert for client data attributes
Participate in data change governance and validate the accuracy and completeness of proposed data attribute changes to Client Reference data model
Propose appropriate modeling and data management solutions to meet the overall vision of the strategic platform
Make necessary on-going updates to modeling principles, processes, solutions and best practices to ensure that the CRD data management is aligned with other evolving parts of the platform
Manage multiple projects, working in a matrix organization, related to data modeling and data management requirements

205

Data Architect Resume Examples & Samples

Create end-to-end vision of data flow, design data flow diagram and create centralize data repository
Maintain data repository and function as a Data stewards
Develop logical design and physical database design with consideration of data acquisition, backup, archive, recovery, data validation, mapping and cleanup
Define data structure, integrate, govern, store, describe, model, and maintain for accuracy and usage maintaining current state
Determines database structural requirements by analyzing requirement, current applications, programming; and evaluating current systems
Map to information entities that can define how information should flow and be consumed by various business and IT customers
Building the logical and physical model using Power designer with strong experience in OLAP and OLTP Modeling techniques who can analyze the source data for the modeling requirements
Support operational use of data for business process and other domain centric functions
Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements
Document data inventory and data flow diagrams to determine what can be measured, when and how
Manage activities in achieving defined quality goals in an efficient, accurate and timely manner
Work directly with business users and functional analysts and in comprehending business requirements and modeling
Collaborate and coordinate with other team members
Strong technical knowledge of Data warehouse, Data mining, Star Schema’s, Data modelling and Data Governance, hands on experience with Business Intelligence techniques including but not limited to Analytics
Experience in the SAP Power Designer
Experience in Dimensional modeling and Third Normal form
Experience in Metadata Management and Creating Data dictionary
Big Data experience is a must
Extensive programming experience in SQL, PL/SQL is required
Performance Tuning & Optimization experience is required
Experience in working for a Medical equipment/Pharmaceutical company is required
Nice to have experience in Master Data Management
Nice to have on Columnar Data modeling techniques
Experience on data visualization techniques is required
Bachelor's degree, in Information Technology, or other quantitative field
5+ years of BI analytics experience in a global or similarly structured organization
Proven success (5+ years) managing BI design and development is essential
Understanding and experience with big data technologies and platforms is highly desired
Must be able to define, shape, and drive solutions to completion while effectively collaborating with others
Experience working on all SDLC business processes: requirements, design, development, testing and deployment using Agile methodology
Experience working with the third-party external business partners and their technical teams in the support & implementation of BI and analytics solutions
Functional experience across a range of commercial business processes with an emphasis on profitability & revenue management, sales force effectiveness and market data integration is a plus
Excellent troubleshooting and problem resolution skills required
Experience in Medical Device or other regulated industries is an asset
Excellent command of English, verbally as well as written
Knowledge of other languages is an asset
Solid knowledge of data warehousing, data mining, power designer ,toad , IBM Cognos
Solid knowledge of BI application development process including Datastage
Solid Knowledge of Oracle Data Warehousing and Oracle Client Tools
Advanced knowledge of MS Office suite and MS Project is required
Basic knowledge of SharePoint is a plus

206

Data Architect Resume Examples & Samples

Gather requirements and perform analysis of data integration, reporting and analytical capabilities required from the business and general user community
Create project documentation, including project plans/schedules, requirements documents, architecture drawings, system design documents, architecture and data models, test plans, user manuals, deployment plans and operations manuals
Drafting and managing of data and information architectures, guidelines, standards and best practices
Own and manage the conceptual and logical data models – at EDW and Organisational (where applicable) level
Adopt innovative architectural approaches to leverage and develop in-house data integration capabilities consistent with architectural goals of the enterprise
Expert knowledge of Data Modelling and Data Warehousing Concepts and Architecture
Design and development of the data warehouse star scheme, fact tables, dimension tables, lookup tables, procedures and packages
Design and development of data integration routines to extract relevant data from multiple operational data sources; perform transformation, lineage, profiling, cleansing and mapping of extracted data; and loading data into the EDW
Participate in design and development of business intelligence components, including reporting capabilities, interactive dashboards, scorecards, analytics, data mining and data visualization
Extract, Transformation and Load (ETL), spreadsheets and BI tools
Data Migration Tools Knowledge
Manage data quality throughout the ETL process and beyond
Manage ETL environment
Graduate degree or equivalent experience
Minimum 10 years in the IT profession
Minimum 8 years of experience with architecting solutions for data warehouse, data integration and data standardization
Experience with data quality / data profiling tools and methodologies
Experience building data warehouses and transformation processes
Experience with conceptual, logical, relational and dimensional data modelling
Experience with various data intake, staging and integration methods
Experience with MDM will be beneficial
Experience with SQL languages (PL-SQL, T-SQL)
Data quality processes and methods
Collaboration and team-building skills

207

Data Architect Resume Examples & Samples

Manage the overall data establishment effort and deliverables across a number of parallel project strands
Primary data contact and escalation point
Define the data strategy, required processes and tools
Agree and develop data approach documents with Technical / Business leads and the Project Manager including, but not limited to, high level data approach, environment, data and resource requirements and automation approach
Estimate and plan all data activities required to deliver quality product to required timescales
Adopt a hands-on approach to design build and execution
Work closely with test, business analysts and technical leads to ensure common purpose of delivery on process and plan
Manage the sign off of entry and exit criteria as per standard agreed criteria
Adjudicate and prioritise on varying / conflicting requirements with the Business
Manage project risks / issues and escalate to Project Manager and IT Delivery Manager as required
Requirements Analysis
Experience in Extract, Transform, Load (ETL) processes and tools
Defining the high level integrated data model for the project
Defining the detailed integrated data model for the project
Define the data model diagram for the project
Create an inventory of the data for the project
Define the migration approach

208

Data Architect Resume Examples & Samples

Prior data architecture experience
Experience with regulatory data architecture security issues like GDPR, SOX, PCI
Work experience with proven techniques for encryption of sensitive information
Good knowledge of data architecture principles (e.g. Data Modelling, Data Security, Metadata, Data Retention)
In-depth knowledge of database technology and business intelligence tools
Demonstrated sound analytical thinking and very effective problem solving skills
Excellent communication, documentation and collaboration skills
Ability to analyze and elicit information from multiple sources
Thorough knowledge of information lifecycle management
In-depth software development lifecycle experience

209

Data Architect Resume Examples & Samples

Minimum of 8-12 years of experience in software development
Worked with TeraData, Oracle, MySQL, Informatica, Tableu, QlikView or similar reporting and BI packages
Used SQL, PL/SQL and similar languages, UNIX shell scripting
Knowledge of agile software development process
3+ years software/technology client facing experience preferred
Experience with “on-premise to cloud” migrations or IT transformations preferred

210

Data Architect Resume Examples & Samples

Strong experience with design and development of a business semantic layer for end user ad-hoc reporting
Collaborate with the Capacity Management team to manage a storage capacity planning model with regards to the EDW to ensure that adequate resources are procured in advance of growth needs
Creates and executes the delivery of internal reports and analytics, ensuring that data quality and integrity is maintained on all data within the EDW
Drives the deployment and adoption of Business Intelligence software products, creating operational and executive level dashboards and promotes a self-service power user BI model
Manages business continuity plan for EDW environment, providing recommendations on hardware, software, archival, back-up, and restoration processes
Minimum ten years experience in a dynamic business and IT environment
Minimum five years’ experience in a data architect or data warehouse stewardship role

211

Data Architect Resume Examples & Samples

Participate in the design, architecture and evolution of the project’s platform, including Data Warehousing, Business Intelligence, and ETL solutions and systems
Deliver optimum Data performance and scalability in partnership with Production and internal services such as IT (GNS), TG, etc
Drive Data usage strategies, principles, standards and best practices via development and communication
Develop and maintain live data warehouses through conceptual, logical and physical Data models
Review, recommend and approve Data designs
Support the Developers and Software Architects to provide the best solutions to meet current project needs that are aligned with strategic direction
Provide technical mentoring of the Infrastructure team
Carry out all other related tasks
Minimum 10 year experience in the industry with a minimum of 4 years in this role
Excellent knowledge and experience of Teradata database
Excellent knowledge of enterprise data modeling in Teradata
Excellent knowledge of best practices in decisional application conception
Knowledge and experience in the management of the data quality
Knowledge of Big Data technologies
Knowledge and experience with programming vocabulary (PHP, Perl, Python, Ruby, Java, etc.)
Knowledge of ETL and restitution tools in order to cover the chain of decisional tools is a plus
Collaboration & communication skills
Quality oriented
Spoken and written English knowledge

212

Data Architect Resume Examples & Samples

Develop, maintain, and ensure delivery of high quality demo data that showcases ServiceNow products and solutions
Enable consistency in how cross-product demos are delivered through different channels
Build reusable components (update sets, applications, etc.) that can be leveraged by others in the ServiceNow ecosystem
Collaborate with cross-functional stakeholders to identify data requirements and understand how they will extend the data sets and components you build to best serve their customer needs
Understand business and technical problems addressed by the products and how demo data can best illustrate these concepts
Acquire and expand working knowledge of all ServiceNow applications
Proficiency with the ServiceNow product suite
Proven experience improving, developing, and delivering quality integrated demo data for Enterprise software and/or SAAS companies
Pre-sales experience and ITSM experience highly desirable
Experience working cross-functionally
Experience as a technical lead in previous roles
Exceptional organizational skills and a high level of attention to detail
Has previous experience in data management or databases
Broad working knowledge and understanding of Service Management Processes across the various business functions (IT, HR, ITFM, Facilities, PPS, etc.) as well as of the ServiceNow solutions that support these business functions
Experience in advanced ServiceNow development activities including Scripted REST, Service Portal, Jelly, Processors, UI Pages, UI Macros, etc
Background in ITIL, Service Management, Asset Management, IT Management, or IT Operations

213

Data Architect Resume Examples & Samples

Design, build, maintain and scale the data pipeline and infrastructure of a world-class SaaS platform
Partner with the Data Science team and business teams to adopt best technical practices for business and research requirements
Interface with Global Engineering, Operations and Product teams to incorporate their innovations and vice versa
Ensures programs are envisioned, designed, developed, and implemented across the enterprise to meet business needs. Interfaces with the enterprise architecture team and other functional areas to ensure that most efficient solution is designed to meet business needs
Mentors team members in relevant technologies and implementation architecture
Contributes to the overall system implementation strategy for the enterprise and participates in appropriate forums, meetings,

214

Data Architect Resume Examples & Samples

Serve as a point of contact for investment data provisioning and reporting. This includes the triage of issues and new requests from the end user population
Work with data consumers to develop and document new data requirements
Oversee the data mart and Cognos framework design to ensure efficiency, best practices, and consistency of approach
Support the development and maintenance of data marts, Cognos framework, extract queries, and reporting utilizing MIDOT suite of tools including Eagle, Cognos, Tableau, and SQL Developer
Work with the Reporting Manager to determine optimal workflow for mart/report development including developing locally and outsourcing
Serve as a key point of contact for outsourced development resources
Work with data consumers, MassMutual Technology Architects, and strategic partners to determine and execute optimal data distribution strategies including selecting from available report, query and data mart solutions and participating in selection of additional tools as needed
Partner with Reporting Analyst to ensure best practices are followed and governed in the distributed report development model
5-plus years of reporting/data distribution experience
Understanding of the investment data domain and the related reporting requirements
Experience with a range of data mart and reporting solutions
Expert in SQL (writing queries, complex scripts, extracting data etc)
Expert in Excel (pivot Tables, data comparison, data manipulation etc)
Ability to handle ambiguity and constantly evolving requirements
Comfortable taking initiative and working independently but knows when to involve others
Comfortable working with stakeholders from a wide range of functions and seniority levels
Strong collaboration skills and the ability to work in a team based environment
Familiarity with release management processes and experience managing the migration of development components
Bachelor’s degree in a Computer or Finance related major
Experience with Eagle Investment Systems reporting tools is a major plus
Data Marts
Eagle canned reports
Experience with Cognos is a plus
Experience with large scale data management/business intelligence projects including data warehousing solutions
Understanding of the Investment Management process and the related data flows

215

Data Architect Resume Examples & Samples

Architect scalable data processing and analytics solutions, including technical feasibility and proposal development for Big Data storage, processing and consumption (e.g., development of enterprise Data Lake strategy, heterogeneous data management, decision support/BI over Data Lake)
Determines database structural requirements by analyzing business units’ operations, applications, requirements and objectives while evaluating current systems and proposing upgrades, enhancements and/or new systems
Develops strategies for data acquisition/collection, data quality, archive and recovery, and implementation of a database
Document and share technical best practices / insights with data engineering teams, data scientists, analytics business analysts, and the global solution architect community
Creates data quality plans and metrics for multiple data sets and business units to ensure a high level of data quality through the data’s lifecycle
Design and build ETL/ELT process to move data through the data processing pipeline for internal and external data sets
Ensure that security and quality policies and guidelines are applied
Documents processes with business process maps, data flow diagrams, ERDs, schema diagrams, systems diagrams, and other architecture collateral
Designs and builds relational databases (MySQL, MS SQL Server, Oracle) non-relational databases (MongoDB), data lake (Cloudera, Hortonworks, or another Hadoop distribution)
Work closely with Customer Analytics team and lines of business to ensure that a scalable data model is implemented in the right physical structure (SQL vs. No-SQL vs. data lake)

216

Data Architect Resume Examples & Samples

03.02
Be responsible for procuring the CRS
Contribute to the end-to-end solution design and architecture
Develop and capture data requirements for the central registration service, including the many interfaces to the solution
Maintain the data architecture principles and define the data architecture, including justifying how the data architecture supports the other architectural domains (process, application etc.)
Establish governance and manage the compliance/divergence of each of the business areas from the prescribed data architecture, agreeing remediation plans to achieve alignment
Develop architectural designs that will establish systems of record and systems of reference and maintain master and reference data accordingly
Initiate well-founded architectural approaches to address profound data problems at an enterprise level as they arise and are recognised
Input into the production and assurance of technical specifications
Provide data architecture expertise into design prototyping projects and maximise the value of prototyping by taking forward the learnings and outputs into the solution and end-to-end design
Participate in market engagement and procurement of the new central registration service as required
Lead the adoption of data modelling standards, guidelines, best practices and effective modelling techniques and approaches
Plan, document and present enterprise data architecture-related strategies such as controlled vocabularies, structured data management and business object document definition
Oversee data modelling activities that take place in project teams, resulting in the production of high quality conceptual, logical and physical data models and case tool meta models
Undertake further data architecture and design activities as required by the Switching Programme
Knowledge of Smart Metering Implementation Programme and DCC’s role

217

Data Architect Resume Examples & Samples

Provide data architecture guidance to ensure adherence to legal and compliance rules
Establish business data definitions that are considered 'Global' or 'Local' that are critical to the operation of End to End Business Processes
Ensure the quality and coherence of the Enterprise architecture model (current and future state) as it applies to the data layer
Provide rules for the appropriate storage of data, establishing rules for archiving, backup and recovery with partner access to data
Accountable for the use and adoption of the enterprise architecture data model
Provide rules for extraction, transformation and loading of data between systems
Provide rules for mastering of data across all key data sets as defined in the enterprise architecture data model
Provide definition for the data architecture and interface standards for integrating data repositories and systems
Lead on supporting disruptive data technologies that would enable transformational changes
Deep technical knowledge and practitioner of data architecture layer of Enterprise Architecture
Practitioner and experience of 'data architecture' technology (including but not limited to database technologies, data integration and data migration)
Technical knowledge and practitioner of Enterprise Architecture rules, tools and methods (including TOGAF or similar)
Must have a thorough knowledge of relevant data domain technologies and the interaction with other layers of the Enterprise Architecture (e.g. Application software)
An experienced operator able to manage a mix of technical, end to end business processes and data technologies
Capability and relevant experience of disruptive and emerging data technologies such as HADOOP and data analytics or similar
Knowledge and understanding of industry trends and new technologies and ability to apply trends to architectural needs
Demonstrated experience of operating with external partners and providers
Demonstrated experience of data and information standards bodies and leading supplier technology development
Experience of operating governance and procedural standards for management and operation of data standards would be advantageous
Relevant academic qualifications (Bachelor's degree or certified in technologies)

218

Data Architect Resume Examples & Samples

Specification and design of data systems
Definition and evolution of Data storage structures
Management, Indexing and mining of massive, real time data streams
Research and development of key concepts and technologies
Identification of new technical directions
Comfortable in an informal environment where teamwork, accessibility and pragmatism are emphasized
A thorough understanding of the principles of micro-services and containerization in distributed systems
A good understanding of the software development process and agile working
Competence in architecting complex real time distributed data systems
Good understanding of the latest concepts in database design
Experience in designing elastic systems responsive to demand
Subject matter expert in data management, mining and indexing for both structured and unstructured data, specifically working with large data-sets and real time data streams
A good understanding of redundancy techniques, fault detection and rectification without impact to service
The desire to create unique experiences and redefine broadcasting for a new generation
A self starter with excellent communication skills

219

Data Architect Resume Examples & Samples

5+ years Software Technology Client-Facing experience
Experience with Big Data migrations or IT transformation - (e.g. Datalake, different platform warehouses, etc.)
Make assessments of the client data architecture, understanding their platforms and Data Warehouse
Create a datalake on-premise in the client data center to centralize all the information from different platforms and Data Warehouse
Recommend the future data architecture
Assess and recommend a data governance - from data ingestion to data mart

220

Data Architect Resume Examples & Samples

Work together with our analyst colleagues in CDO and abroad to define and implement data related components for Chief Data Office
5+ years of experience in designing and working with large scale data models. Experience of data modelling tools such as Power Designer, Liffey or ErWIn is required
ETL experience (tools like Informatica, OBIEE)

221

Data Architect Resume Examples & Samples

Analyze agency operations, applications, programming, and objectives to determines database structural requirements
Analyze database implementation methods to make sure they are in line with company policies and any external regulations
Define database physical structure and functional capabilities, security, back-up, and recovery specifications
Design strategies for enterprise database systems and set standards for operations, programming, and security
Design databases to support business applications, ensuring system scalability, security, performance and reliability
Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure
Develop database design and architecture documentation for the management and executive teams
Design and develop a REST API
Collaborate with technical architects, product strategist, and, design analysts, and others to understand business requirements
Integrate new systems with existing warehouse structure and refine system performance and functionality
Plan and install upgrades of database management system software to enhance database performance
Identify and correct deviations from database development standards
Identify and resolve production and application development problems
Create and enforce database development standards
Develop or maintain archived procedures, procedural codes, or queries for applications
Develop load-balancing processes to eliminate down time for backup processes
Develop data models for applications, metadata tables, views or related database structures
Develop modeling strategies to ensure that the database is secure, scalable and performs reliably
Identify, evaluate and recommend hardware or software technologies to achieve desired database performance
Monitor and report systems resource consumption trends to assure production systems meet availability requirements and hardware enhancements are scheduled appropriately
Responsible for constantly monitoring the database and immediately addressing database issues and problems
Other duties in regards to data that may be assigned
Must have a minimum of five years (60 months) of experience in data analysis or the design and development of relational database management systems (RDBMS) such as Oracle, DB2, SQL, etc. on projects similar in size and scope
Must have a minimum of four years (48 months) of experience in overseeing the database development, programming, database optimization techniques, and maintenance of enterprise level software applications
Must have proven ability to work in distributed systems
Must have a minimum of two years (24 months) of experience in developing and implementing an enterprise data warehouse
Must have a minimum of two years (24 months) experience with OLAP and OLTP
Must have experience developing and implementing a RESTful API for a relational database
Must be able to gather and assimilate information
Must be able to think logically and strategically, and evaluate options in the short, medium and long term
Must be able to be adapt and prioritize
Must be able to think ahead and anticipate problems, issues and solutions
Bachelors degree from an accredited college/university in computer science, engineering or a technology-related field

222

Data Architect Resume Examples & Samples

The Data Architect is responsible for developing and maintaining a formal description of the data and data structures. This includes metadata management, master data management, business semantics, data modeling, data flow diagrams, data dictionaries, etc. This metadata repository will need to be exposed in various formats i.e. XML or Avro schemas to be leveraged by various internal systems and teams
Support Data Engineering Lead with indirect leadership to multiple analytics team members
Understand the business process; facilitate the discovery of entities, attributes, relationships, and business rules from the functional experts and the user community
Prepare process models to document data and information flows for sourcing and accessing data throughout the enterprise
Developing and enforcing data modeling standards and best practices
Assists other IT functional teams to troubleshoot critical business systems
Ensure that data for top tier applications maintain a state of high availability
Act as a core team member of the Ascend Learning Architecture Council and work closely with CISO on company security policies and governance of data across the company
Mentor junior members of the data and analytics teams
Work with the engineers, quality engineering, DBAs, information security, network, operations, product and project management teams to design and implement new business initiatives as related to data and analytics
5+ years of experience in strong data architecture, design, and implementation with a variety of technologies, 3+ years in a dedicated Data Architect role preferred
In addition to the logical responsibilities, a firm understanding of the underlying physical technologies is required. This includes technologies such as Oracle, SQL Server, MySQL, Postgres, Hadoop, Cassandra, MongoDB, Elastic Search, JSON, XML, Avro, Blob/S3, Cloud Data Warehouse e.g. Azure DW, Redshift, Snowflake, etc
Databases: Advanced SQL knowledge required, advanced data warehousing, MPP knowledge, high knowledge of T-SQL development and Dynamic SQL preferred
Linux/Unix and system administration: Understanding of shell, debugging things etc. The candidate should be able to get their way around Linux and get things to work
Familiarity with code execution and deployments to development, staging and production environments dictated by through a change management process
Big picture / High-level architecture: The candidate must be able to think at a high level about the overall systems and goals of the projects
Familiar with ETL. Practical experience dealing with large ETL pipelines is a plus
Agile development and scrum team experience
Data Architecture related certifications preferred
Experience in SSRS, BIDS, SSIS, and SSAS, Failover clustering, replication, and other high availability technologies preferred
Experience in Performance Tuning, Query Optimization, using Performance Monitor, SQL Profiler and other related monitoring and troubleshooting tools preferred
Experience in troubleshooting and resolving database integrity, performance issues, blocking and deadlocking, replication, connectivity, security issues, etc. preferred
Distributed systems understanding preferred
Public cloud experience e.g. AWS, Azure, Google Cloud preferred
Works independently with minimal direction
Builds trust and works collaboratively with all levels of the Tech and Ops organization, including staff, business stakeholders, executives and works effectively on geographically diverse teams
Excellent verbal and written communication skills with all levels of users and with management, public speaking experiences a plus as we encourage people to participate in conferences
Strong influencing, negotiation, and conflict resolution skills
Occasional weekends/nights for on-call incident troubleshooting or administration of regular, off-hour deployments
Writing skills: the candidates need to write good documentation and are also encouraged to write blogs etc. to build their reputation in the industry

223

Data Architect Resume Examples & Samples

5+ years of experience with modern services–based architecture, including Data Warehousing, Service–Oriented Architecture for Simple Object Access Protocol (SOAP) and Representational State Transfer (REST)
5+ years of experience with defining, deploying, and supporting Enterprise Service Bus (ESB) based upon Oracle SOA products for Oracle Middleware SOA Suite or Oracle BPEL Manager, or other leading ESB Providers
Experience with developing and implement a robust data quality program to mitigate and prevent data quality issues and diagnosing, remediating, and monitoring master data by enhancing existing foundations and processes
Current Secret clearance required
BA or BS degree in CS, Information Systems, or Data Management or 8+ years of experience with computer science, information systems, or data management in lieu of a Bachelor’s degree
CompTIA Security + or CISSP Certification required
Experience with Big Data analytics in a large–scale enterprise environment for multiple interfaces
Experience with data governance and metadata maintenance
Experience with authoring, reviewing, or contributing to other Defense Acquisition milestone documentation, as needed
Experience with supporting any of the other related Oracle products, including Oracle RDBMS or Oracle WebLogic
Experience with developing Key Performance Indicators and metrics to measure data quality targets and data quality program metrics, improvements, remediation plans, and concerns
Experience with implementing a suite of standardized governance tools, including policies, procedures, business requirements documents, data lineage formats, data definitions dictionary, and data formats for use by all key stakeholders
Experience with a cross domain solution a plus

224

Data Architect Resume Examples & Samples

8+ years relevant Job experience in Database Development and/or Software Engineering
Very good knowledge in data modeling (logical: ER modeling and UML; physical: translating the logical model into DBMS schema) and system overarching data architecture
Proven experience in relational DBMS (preferably Oracle), SQL and ETL/ELT Technology (processes and data replication) in design, implementation and operations
Experience in relevant Business Intelligence tools and technologies (MDX, MOLAP/ROLAP, Query Optimization, Analytics)
Nice to have but not a must: Knowledge in Sparx Enterprise Architect
Experience in large and complex IT projects
Excellent English skills both verbally and written. Nice to have: German language skills

225

Data Architect Resume Examples & Samples

Understands organization's vision, goals and strategies. Aligns teams priorities appropriately and determines teams critical success factors
Manages change and encourages innovation. Open to new ideas
Resolves issues in an appropriate and timely manner
May negotiate, secures, oversee & ensure that resources are available to meet the daily operational demands of the area
Responsible for all aspects of people leadership; setting expectations, coaching, counseling, developing, evaluating, feedback, hiring, discipline and separations. Determine necessary mix of skill set
Confronts and deals with employees issues in a constructive and timely manner
Responsible for collecting and managing Patient level data requirements with CA&O – MABI and HEOR organizations related to Real World Evidence and Patient experience initiatives. The role will be a functional expert in de-identified and identified patient level datasets such as CRM (Epsilon), Services (myHumira, Opus), Claims (SHA, IMS), Clinical (Humedica) and Pharmacy datasets (Specialty Pharmacy, Pharmacy solutions) and other Real world data sets including syndicated EHR data
Architects Humira Ecosystem data integration strategy, responsible for coordinating Patient Services data strategy and execution for upcoming immunology and Oncology Launches
Coordinates execution of BTS data projects with US commercial BTS DW&BI organization
Determines the data requirements by working with Specialty Pharmacies, MA&BI, HEOR and Managed Care team
Works with Legal and Purchasing organizations to finalize the data contracts with Data suppliers, Specialty Pharmacies, Analytic partners and Research study partners
Acts as a liaison between Data Integration vendor(s) and Specialty pharmacy network on the data onboarding and data integration work streams
Lead technical staff, perform architecture and design reviews
Experience with data analysis, data profiling and data quality techniques
Exceptional interpersonal and communication and analytical skills
Experience or familiarity with Commercial DWH initiatives, processes, systems and data is preferred
Experience with Patient level data like SHA PTD, IMS APLD or Truven Mediscan is preferred
Working knowledge of big data tools and solutions such as Cloudera, Hadoop, R is preferred
Familiarity with Marketing Analytics and Business Intelligence (MABI) and Health Economics Outcomes Research (HEOR) organizations and their data needs is preferred
Familiarity with Real World evidence data , processes and systems is preferred
Priori experience in working with Specialty Pharmacy Data, Trade & Distribution data, Immunology data and Oncology data is preferred

226

Data Architect Resume Examples & Samples

10-12 years of experience in data architecture, analysis and applications program development required
Extensive experience in Data modelling, analysis, and schema design for large software systems
Advanced knowledge in RDBMS (preferably Oracle)
Hands on experience in database installation, programming, and performance tuning
Advanced SQL/PL-SQL programming skills
Knowledge of Mongo DB is a plus
Demonstrated ability and willingness to work both independently and as a member of a scrum team

227

Data Architect Resume Examples & Samples

Experience with Database Administration
Experience with an RDBMS, preferably MSSQL
Knowledge with HA and DR database solutions
Experience with MSSQL, PostgreSQL, Elasticsearch and MongoDB
Experience managing data stores in AWS
Experience migrating data stores between data centers
Knowledge of cross-datacenter replication strategies

228

Data Architect Resume Examples & Samples

Create and document design standards for relational and multidimensional database models and train development teams on these new standards
Collaborate with development teams to analyze and optimize existing queries
Architect Data Warehouse strategies including ETL principals and multidimensional database designs to enable effective reporting and dashboarding
Work with program teams and customers to define dashboarding and analytics requirements
Assist with integrating dashboards and reports into existing web applications
Configure and optimize the BI environment - relational, OLAP layers, and data migration extract transform and load processes
Troubleshoot BI problems and tune for performance. Diagnose and resolve application bottlenecks and performance issues. Define and enforce coding standards, design styles and best practices
Provide ongoing 2nd level support for related applications and technologies
Demonstrate technical leadership in all aspects including development, architecture, testing and deployment
Collaborate with Senior Technical subject matter experts in the technical assessment of new designs and development work
Gather, analyze, and translate business needs into proposed long term solutions
Ability to adapt quickly to fast-paced changing environment and priorities
Motivation to take ownership of tasks and the determination to drive them to completion
Should have completed a 4-year degree program in Computer Science, Management Information Systems, or a related technical field
8+ years of experience architecting, developing and supporting the implementation of complex data solutions
Expertise with at least one ETL tool (preferably Pentaho) and BI tool (preferably Tableau)
Expertise with the design of BI staging areas, warehouse, cubes and reporting
Strong knowledge of relational and multi-dimensional database architectures
Able to perform Data Warehouse tuning, collecting statistics, and analyzing SQL code performance
Ability to write stored procedures and perform optimization
Strong analytical skills and an ability to present and communicate data, trends, insights and recommendations
Must be able to work independently and in a cross-functional team environment
Excellent oral and written communication skills. Ability to understand others and clearly express thoughts

229

Data Architect Resume Examples & Samples

Development of Corporate Data Model Framework
Development of data risk framework focused on standards, definitions, quality and access
Development of Corporate Data Model with documentation of
Subject areas, major entities
Relationships between entities
Attributes of the entities
Subtypes of the entities
Business process analysis related to subject areas
Support Business Analyst (BA) on identification of prioritized data elements and capture related metadata (e.g. sponsors, owners, stakeholders, security classification, business definition, technical definition)
Assess the existing level of governance, identify gaps and define additional governance rules
Work in co-ordination with the stakeholders (mentioned under section “Stakeholders and Participants “)
Work under the direction of the Data Architecture and Governance Lead
Conduct interviews with Analysts, Modelers, Architects, Integration Specialists, and System Teams to continue the research/analysis on metadata
Recommend/design a spreadsheet/database to store captured metadata, in preparation for migration to defined standard metadata toolset
In addition, the consultant will be expected to
Anticipate, identify, and define problems; seek root causes and apply agreed-upon principles to resolve them
Establish strong commitment to transparency and communication; effectively capturing meeting minutes and managing action items
Develop effective working relationship with various project teams to initiate identification of related subject areas, and identify prioritized data elements
At least four (4) years of experience in data modeling and/or data analysis
Ability to describe data mapping and data migration techniques
Demonstrated hands-on experience developing Entity Relationship Models and Data Flow Diagrams
Ability to export lists of data elements from Erwin Models
Ability to extract lists of included data elements from Informatica PowerCenter ETL feeds and databases leveraging PL/SQL
Demonstrated hands-on experience in analyzing large databases
Competent in office technology tools with advanced Excel and Access skills
Business Judgment and Analytical Decision Making - Analyzes facts and data to support sound, logical decisions regarding own and other
Compliance with Standards - Monitors and maintains records on requests for information and assistance
Information Seeking and Bias for Action - Gathers and analyzes sufficient information to meet requirements from across IFC, innovate on solutions and respond quickly and effectively to clients
Client Orientation - Takes personal responsibility and accountability for timely responses to client queries, requests or needs, working to remove obstacles that may impede execution or overall success
Teamwork (Collaboration) and Inclusion - Collaborates with other team members and contributes productively to the team's work and output, demonstrating respect for different points of view
Data mining skills (including data auditing, aggregation, validation and reconciliation) are a plus
Direct experience and/or knowledge of Informatica Data Quality, Master Data Management (MDM), are a plus

230

Data Architect Resume Examples & Samples

Develop/own Logical and Physical Data Models for the OCC data hub (using tools like, power designer, embarcadero, InfoSphere data modeler, ERWIN)
Must be familiar with emerging technologies
Implement models that confirms to OLTP / Data warehouse environments
Document, maintain and enforce data standards, including security, archiving, backup and recovery
Collaborate with regulatory and compliance teams to understand and then enforce the regulatory data requirement within the analytic platform
Make decisions about data platforms based on solid and unequivocal understanding of ETL, OLAP, EDW , NOSQL and large scale data platforming
Develop solid understanding of financial instruments and associated risk management models
Collaborate with business users and development teams to define data requirements and then then translate them into actionable data models and traceability to satisfy audit requirements
Responsible for the triage of reported production software issues, identifying defects, providing well considered patches
Work with regulatory requirement of the data and its traceability within the provided solution
Determine current limitations and compatibilities between subsystems, selection of new concepts and methodology, preparation of technical requirements and platform design specifications and development of major routines and utilities
Go from specification to fully developed Analytical solutions while partnering with multiple business units at the same time
Understand data models and their relationship to ETL process
Work with the team to develop a pre-ETL strategy and scripts to clean and map data
Assist with project related artifact and reporting requirement
Identify automation opportunities within data pipeline and recommend improvements
Collect data to identify root cause of problems, and escalate potential issues to Business Controls management as necessary
Review processes for opportunities improve efficiency and effectiveness, including opportunities to automate processes. Provide recommendations to manager
Provide analysis of new projects and efforts for impact to business processes and controls
Monitor production problems/incidents for impact to business processes and controls, escalate issues to manager or team
Design and perform tests of controls for design and operational effectiveness
Produce effective reports on the business processes and control activity, improvement efforts, as well as current effectiveness of controls
Develop and monitor, with supervision of direct manager, self-testing approaches for applicable individual controls. Work with business lines as needed
Coordinate process and control efforts with control groups to maximize efficiency and effectiveness
Other projects/tasks as assigned
5+ years of solid enterprise data modeling
5+ years of experience working as the lead analyst in the design of operational data store and Data Warehouse
Superior OLTP, de-normalized, dimensional and cross LOB integrated modeling skills at the conceptual, logical and physical levels, and experience documenting data models
Ability to work in a rapid-development environment i.e. Agile – Scrum Preferred
Strong knowledge of SQL, data warehousing concepts, various data management systems and integrating with various database technologies like Terra Data, UDB, IBM Netezza or Vertica is required
Hands on knowledge of BI tools (like Tableau, Spotfire, QlikView, Microstrategy) is a plus
Modern modern programming languages such as Java, Scala, Python
Understand undergraduate statistical construct and how to use them in a program
Understanding of the systems development life cycle (SDLC) in Waterfall, Lean, and Agile work environment
Market data feeds, storage and real-time reporting via advance analytics
Excellent communication and presentation skill is must
BS in computer science or related fields – MS is preferred
Certification in one of major data platforms (IBM, ORACLE or Terra Data) is a plus
Facilitation experience using excellent communication and collaboration in agile team setting
Experience with project planning and reporting results
Experience with both waterfall and agile methodologies
Financial data platforming experience

231

Data Architect Resume Examples & Samples

Contribute to Data Architecture by providing ongoing analysis of enterprise data stores to ensure the overall architecture remains appropriate and optimal for current and planned usage
Participate in requirements gathering, technical specifications, architectural design and support development as it relates to database design, access and utilization
Contribute to the overall direction relative to systems of record and how data compliance and regulations affect the handling of data among applications and the overall design recommendations
Serve as a resource to less experienced team members on escalated issues and as a training resource on understanding and handling the company’s data
Receive complex work problems/questions, develop accurate estimates and create project and component work based on specifications. Develop SQL code of medium to high complexity in support of these activities and provide direction to others on how to handle the question going forward
Bachelor’s degree; Graduate degree in Information, Computer and /or Pharma Science is a plus
Experience with data modeling tools, specifically ERwin (required)
Experience with Hadoop ecosystem (Hadoop, Hive, Impala, HBase, MapReduce/Yarn, etc)
5+ years strong experience in database and data warehousing concepts and techniques. Must understand: relational and dimensional modeling, star/snowflake schema design, BI, Data Warehouse operating environments and related technologies, and ETL, MDM, and data governance practices
5+ years of experience in Linux administration
5+ years strong programming and system administration skills
Familiarity with Object Oriented concepts and languages, such as Java
Experience applying Continuous Integration/Continuous Deployment methodologies
Experience with unit testing frameworks and/or test driven development
1+ years working with Data Virtualization tools
Ability to work in a fast-paced, team oriented environment
Experience with the following is a plus: Liquibase, Jboss Administration, building and supporting containers with Docker, Kubernetes or Mesosphere
Healthcare experience is a plus

232

Data Architect Resume Examples & Samples

Translate complex functional and technical requirements into detailed architecture, design and high performing capabilities
Lead the design and build of data patterns and services - both batch, real-time and complex event handing - leveraging open technologies
Ensure the timely delivery and constant communication of commitments meeting the expectations of stakeholders
Effectively manage operational risk and change with a continuous focus on process improvements
Demonstrated 10-15 years professional experience in big data including a university degree in Engineering, Computer Science or equivalent program
Advanced analytical and project management skills (DevOps, Extreme Programming, Agile, and Waterfall) for a variety of tasks or projects. Ability to deal with complex problems involving multiple facets, variables and situations where only limited standardization exists
Extensive expertise in data technologies and the use of data to support software development, advanced analytics and reporting. Particular focus on Cloud (Azure) and Hadoop-based technologies and programming or scripting languages like Java, Linux, C++, PHP, Ruby, Python, R and SAS. Also expert knowledge should be present regarding different (NoSQL or RDBMS) databases such as Hawq/HDB, MongoDB, Cassandra or Hbase
Experience and capability in translating non-technical user requests into complex technical specifications and solutions that meet these requirements
Exceptional oral, written and interpersonal communication skills with the ability to simplify complex technical concepts into business & value-focused language. A key requirement is to communicate clearly and consistently keeping stakeholders well-informed of progress and challenges
Excellent organizational and time management skills, with ability to multi-task. Ability to work with minimal or no supervision while performing duties; has the ability and initiative to organize various functions necessary to accomplish department activities or goals and be a strong team player

233

Data Architect Resume Examples & Samples

Work with the Project Manager, Solution Architects, and others to ensure that adequate time and proper resourcing is available for the solution related to data while identifying risks and mitigation strategies
Participate in architecture reviews for specified tollgates. Identify any deviation from data-related standards and escalate to the Architecture Review Board when necessary
Ensure the solution meets the documented data needs of the business. Identify gaps and escalate to the Project Manager and/or Steering Committee
Review and drive solution to follow approved data architectural pattern(s)
Accelerate the delivery of the data solution through reuse, following data standards, and adhering to the architectural data patterns
Mentoring employee and contract resources making them aware of and ensuring they follow Novelis data standards and best practices
Collaborate with associate from Design through Deployment of a solution. Provide best practices guidance over multiple project roll-outs. Establish and enforce all development standards, procedures and practices
Puts in place appropriate processes and ensures the development and ongoing management of the data related resources/people (MDM, ETL, Tibco, etc.)
Bachelor’s or higher Degree in Computer Science, Information Technology, or similar field
10+ years Information Technology experience
5+ years Information Management (ETL, EDW, Integration, Analytics, Reporting, etc.) experience

234

Data Architect Resume Examples & Samples

Work as part of a team which will
Set up a Data Governance Framework for a Financial Services and Insurance company
Do Enterprise data model validation and customization in discussion with different stakeholder groups within the customer
Define Data Quality and Business Rules
Work on defining future data standards and data governance
8-12 years of experience in data analysis, data modeling processes and techniques
Hands on experience in data mapping, data quality and migration
Hands on experience in building data dictionaries and data marts
Participation in Data Governance and Data Management programs

235

Data Architect Resume Examples & Samples

Drive the formation of a data portfolio and road map to support business vision for Retina andGlaucoma Business Sectors
Realize business vision through technology selection, conception, evaluation and implementation of robust and adaptive data architecture for the entire product portfolio from Retina and Glaucoma Business Sectors
Establish strategies to manage clinical, demographic and exam data captured, created and collected by entire product portfolio throughout the entire data lifecycle
Define value-driven data governance for the data assets from the entire product portfolio
Define security management to ensure privacy and confidentiality, in compliance with HIPAA regulations, preventing unauthorized and inappropriate data access
Define database operations management from creation and acquisition through archival and purge for local and distributed environments
Define data quality management to measure, assess, improve and ensure fitness of data for use
Define conversion and migration methods to handle legacy data across product portfolio
Define analytics platform strategy to add business value from existing and future product portfolio data
Support multiple product development teams during the development lifecycle
Define value-driven data models, standards and conventions
Lead data architecture feasibility activities during early development phase
Drive consistency with architecture, compression and security policies through design, implementation and deployment across teams
Drive adoption of data management best practices, such as automated testing
Define technical competency matrix for the software department to support business needs in data management
Define education and training to implement technical competency matrix in data management
May participate in project coordination across the various divisions of Carl Zeiss Meditec, with the Carl Zeiss Organization, or with third party development organizations

236

Data Architect Resume Examples & Samples

Providing technical and data leadership to the application development group, IT and the enterprise including being conversant with and cognizant of the future direction of systems, how that direction will impact the enterprise, and how future and current systems can be exploited for the benefit of the enterprise
Working closely with other IT groups to coordinate current and future plans and activities, including coordination and technical assistance to facilitate specific development projects that involve the computing environment, the coordination of software upgrades and the installation of new products
Recognizing and identifying potential areas where existing policies and procedures require change, or where new ones need to be developed, especially regarding future business expansion
Experience in Hadoop and related technologies. Experience with Pivotal or Cloudera stack is an advantage
Ability to develop technical relationships with end-users, ISVs, OEMs and Intel platform architects and Proof-Of-Concept engineers

237

Data Architect Resume Examples & Samples

Manage analytic projects and customer expectations
Develop data architecture: review and refine data structures and schemas, gather new requirements and drive projects for downstream customers
Work with game designers pre-launch to influence all aspects of the game with analytic results
Work with game operators post-launch to optimize play balance, game economies, and to identify and close out exploits
Deliver presentations on analytic topics and results
Effectively communicate with other members of the team to build and implement analytic services

238

Data Architect Resume Examples & Samples

Ability to drive strategy and implementation of enterprise data architectures, providing technical guidance to other resources
Deliver data management vision, goals, priorities, design principles, and operating policies in support of the business goals
Design and oversee database models, data flow diagrams, database schemas, db scripts, DTD schemas, structures and data standards, enforcing standards, identifying new data structures to support the programs of work, managing the enterprise data model, the maintenance of the data, and enterprise data integration approaches
Ability to propose the strategic data migration/ clean up approaches
Strong hands-on experience developing business solutions in an Oracle OBAW, BI, EBS R12 - PDH environment
Demonstrates subject matter expertise for business customers and technical resources, Master Data Management processes and technologies
Works independently and provides guidance to less senior IT Business Analysts in all aspects of business and IT analysis and business systems analysis support
Understanding and incorporation of industry footprint and best practices for Master Data Management. Prototype and present potential solutions, document processes flow, Data Architecture
Work with Database Engineers to ensure common understanding and full awareness of application behavior and data requirements

239

Data Architect Resume Examples & Samples

Define vision, blueprint, strategy, & principles for data management including sources system design and BI data warehouse design
Lead key data migration and integration projects
Lead medium to high complexity data modelling, data mining and data warehouse initiatives
Define standards and processes for data governance, data modelling, and data naming conventions
Enforce data governance and standards among different development teams
Develop a strategic inventory of data needed for BI
Work in a consultative manner with system owners to gather data modelling requirements, define modelling needs, solution design and recommend best solution design practices
Research new opportunities /technologies for data acquisition, visualisation and data mining
Write ETL development specification and run POC to prove data transformation, migration or integration
Help mentor other system owners or junior level team members on best data architecture practices
Provide guidance and assistance for the big data analytics project
10 + years of experience in a data-related specialization (data integration, data modelling, data warehousing, BI or etc.) and 5+ years in data architect and design area
Excellent in data architecture, modelling, management, and governance design for enterprise systems and data warehouse
Excellent in T-SQL and familiar with MS SQL Server or other RDMS
Excellent communication skills and the ability to persuade others through presentations, demonstrations, and written communications
Experience in established and emerging data technologies e.g. Microsoft SQL Stack, NOSQL DB, predictive analytics, data visualization
Experience in leading large data migration and integration projects
Experience in creating master data management and business glossary framework is a big plus
Strong leadership and influencing skills to make things happen
Strong problem solving and logical thinking skills - the ability to take complex ideas and break them into logical actionable steps
Strong attention to detail with an analytical mind-set
Familiar with any big data DB technologies such as NO SQL, Cassandra, MongoDB and etc. is a big plus
BS degree in Computer Science, Information Management or other related majors

240

Data Architect Resume Examples & Samples

Data Architect experience operating within Data Management functions of similar organisations
Hands-on experience of Enterprise Data Modelling (conceptual, logical & physical)
Experience in working on large-scale, distributed architectures
Proven track record of taking responsibility for data architect decisions and assurance across complex changes
Oracle data warehouse technology
Relational and Non-relational persistence layers
PaaS based data warehouse solutions (e.g Google Bigquery, Amazon Redshift)
Data security, privacy and retention

241

Data Architect Resume Examples & Samples

Perform design activities which involves understanding the complex inter play between applications, and the underlying architecture of applications themselves, along with the long term objectives of the business to ensure technology solutions best fit the long term vision of the organization
Develop the database solution by defining the database physical structure and functional capabilities, data processing pipelines, security, back-up, and recovery specifications
Implement data warehouse solutions which are amenable for the different types of data we collect
Optimize various types of data to accommodate large data volumes and high throughput processing
Ongoing support with definition and maintenance of metadata, business terms, data ownership and governance, CDE’s, information flow diagrams, within the data domain
Analyze database activity to identify improvements in indexing, file structure, and maintenance processes

242

Data Architect Resume Examples & Samples

Five (5) or more years of experience as a developer, database administrator or other related IT role, required
Three (3) or more years of experience in a data architect role, preferred
Experience implementing, developing or supporting master data management, analytics or business intelligence platforms, required
Experience in designing and implementation of data warehouses and data lakes, preferred
Experience in data modeling of large and complex data stores, preferred
Professional services firm experience, preferred
Strong analytical, organizational and problem-solving skills
Ability to follow an issue through to its logical conclusion, and escalating where necessary
Ability to work independently as well as part of a team
Ability to maintain accurate documentation and technical authorship of complex documents
Ability to translate complex technical issues and topics into layman terms for diverse audiences
Capable of communicating and interacting with all levels of employees and management
Ability to interact and build relationships and consensus among people
Ability to facilitate meetings efficiently and effectively
Ability to effectively organize and delegate complex tasks
Capacity to work in a deadline-driven environment while handling multiple complex projects/tasks simultaneously with a focus on details
Advanced knowledge and understanding of the firm’s standard applications and all aspects of the IT environment
Ability to research and resolve problems, acquire and maintain knowledge of relevant software solutions and support firm policies and procedures
Capacity to travel, on a limited basis, in support of stated goals and/or for firm sponsored trainings and conferences

243

Data Architect Resume Examples & Samples

10+ years’ of hands-on data warehousing/data mart development experience
7+ years’ of hands-on experience with relational databases
A Bachelor’s degree in a related field
Candidate must be authorized to work in the United States without sponsorship
Life insurance domain knowledge
Call center domain knowledge
HP Vertica Experience
Expert level experience with SQL and writing complex stored procedures/scripts
Expert in data warehousing principles utilizing fact and dimension tables, star and snowflake schema data modeling, and data normalization
Must be able to strategize enhancements to the data warehouse (and data model) as new data is added without adversely impacting the current state
Experience in designing and implementing business intelligence (BI) systems with an eye on enriching data with relevant and/or advanced metrics and KPIs
Has to be a self-starter, highly motivated, and will work under minimal supervision
Will be the RMM team’s go-to authority for all data-related items
Extensive experience in dimensional data modeling
Ability to devise and implement tactical and strategic technical solutions to complex business problems
Superior communication skills (written, verbal, and presentation)
Ability to collaborate on multiple projects simultaneously
Experience dealing and communicating with vendors (external and internal) from a data perspective
Extensive experience with data analysis
Experience with Linux (particularly in vi and bash scripting)
Adheres to and practices the Kimball principle and approach of delivering data marts to build a full-scale data warehouse

244

Data Architect Resume Examples & Samples

Analyze business, data and systems requirements in order to perform data modeling and design (high level conceptual business/data models, entity-relationship and dimensional logical data models, and detailed physical database design models)
Collaborate with colleagues within the data architecture team to provide technical design guidance that aligns with the enterprise architecture vision and applicable technical standards
Responsible for the consistency of data design across projects by adhering to standards, following roadmaps and implementing strategic initiatives
Engage with Data Base Administration staff in deploying the physical data models
Recommend improvements to existing data design and data flows
Participate in research, evaluation, and proof of concept for new tools and technologies that impact information architecture
Participate in the development and maintenance of data principles, standards and guidelines that define best practices in the information domain and guide data architecture and design decisions
4+ years' experience in IT with either data modeling or development
Experience with application system design and implementation, data warehousing principles and methodologies
Experience with data modeling tools such as ErWin or Power Designer
SQL/ SQLPlus knowledge
Experience with Adhoc query tools
Experience working with relational and non-relational databases and technologies such as DB2, Oracle, SQL Server, Hadoop,Cassandra
Understanding of different data integration methods and techniques. Familiarity with SOA principles and related technologies (e.g. XML, JSON, SOAP, REST, API, micro services) is a plus

245

Data Architect Resume Examples & Samples

Participate in enterprise data strategy & collaborate closely with enterprise architects
Identify and document best practices, standards and architecture guidelines
10+ years of proven hands on experience in data architecture, data modelling (relational, dimensional, columnar, big data), data architecture and metadata management
2+ years of hands-on experience in Big Data Databases (Hive, Hbase/Phoenix)
Experience with machine learning, statistical techniques, text mining, natural language processing, computational linguistics and information retrieval is a plus
Retail or Customer or marketing analytics background is a plus

246

Data Architect Resume Examples & Samples

Develop data standards and practices for use by the development community to ensure consistent data taxonomy and design across applications and sources
Catalog and curate our data landscape across the enterprise by developing a corporate data catalog for use by analysts, developers, and power data users
Oversee the design of our new in-memory ODS and continued the evolution of our data warehouse with an eye toward our next generation data platform
Provide architectural oversight of the data governance process
Accelerate the adoption of new data technologies by jump starting development of new initiatives and developing proof-of-concepts utilizing emerging technologies
Evangelize and mentor the data community on new data patterns and practices planned for adoption at BBI
Provide data thought leadership to architectural reviews and oversee the enforcement of standards through application code reviews

247

Data Architect Resume Examples & Samples

1) Experience building out ETL processes and data pipelines (preferably with Informatica or DataStage)
2) Extensive SQL skills
3) Experience with Python scripting and R-scripting for data manipulation

248

Data Architect Resume Examples & Samples

Acting as a subject matter expert for cross divisional important projects in relation to data architectural issues and data mining activities to facilitate analysis tasks for the CDA
Providing data analysis of existing CIB/GTB systems in relation to Reference Data Services (RDS)
Developing a data strategy and a conceptual data model for CIB/GTB
Providing support regarding data delivery for the introduction of a golden source for CIB/GTB for parties, products, instruments and common reference data
Ensuring co-ordination and support of groups in the business, who need data architectural help
Co-operating with the Reference Data Manager who links into the Bank-wide Reference Data Services programme
Educated to Bachelor’s degree level with a concentration in Information Technology (IT) or Banking (or equivalent) or good experience in the Financial Services or IT industry
Previous experience in data modelling, business intelligence, analytics, canonical data model definition, data governance, data integration, data migration etc
Knowledge of software development and database implementation plus familiarity with database design tools like Power Designer (beneficial)
Understanding of business use cases and the ability to define data domains that will structure multi-dimensional modelling
Basic understanding of transaction banking and corporate finance products, knowledge in core banking
Good knowledge of Microsoft Access, Excel, Visio and Powerpoint
Knowledge of relational databases (Oracle) and BIG databases (Hadoop) (beneficial)
Creative and pro-active, able to work under pressure
Self-motivated team player with a service and customer focus

249

Data Architect Resume Examples & Samples

Create and establish a common Business Vocabulary / Taxonomy for the business
Build/Extend a canonical schema for all A2A and B2B integration layers
Design API / Service Layer interfaces
Know and apply Industry standards as they relate to our business (ie. GeoJSON, IoT/Sensor API, etc.)
Develop and document data architectural solutions and recommendations for business products
Close calibration with product managers and lead engineers
Lead technical conversations with domain architects, engineering teams, application developers, data-scientists on solutions and issues specific to data / information architecture
Ensure existing data/information assets are identified, stewarded, governed and leveraged across the enterprise
Identify gaps within existing data architecture and recommend alternative solutions
Participate in the definition of technical standards and guidelines that pertain to data and information-use, security, access and governance
Proven experience with logical / physical data modeling across a number of different data management platforms. Ideal candidate should be able to data model relational and document/object styles
Require at least 3 years of Avro / JSON / XML schema design
At least 2-years of experience designing REST API Interfaces
Working knowledge of API Management is preferred, leveraging Apigee is a plus
Should have at least 2 years of experience with a number of different real-time integration tools such as Apache Flink, Apache Kafka / Schema Registry
Experience with Hortonworks DataFlow (NifI, Kafka, Storm, Atlas) and Hortonworks DataPlatform (Yarn HDFS) is preferred
Proficient with GeoSpatial functionality and data modeling techniques to support GeoSpatial solutions (GeoJSON)
Possess at least 1 year of experience leveraging Cloud Services (IaaS, PaaS). AWS Certification is preferred
Skilled with data integration issues and integration patterns
Proven ability to lead multiple high priorities initiative with aggressive timelines leveraging an agile framework
Comfortable performing in a fast paced, dynamic and ambiguous business environment
Ability to concentrate on a wide range of loosely defined complex situations, which require creativity and originality, where guidance and counsel may be unavailable
Demonstrated a product mindset with an ability to set forward thinking and direction
Excellent listening and communication skills
Must be able to communicate technical information clearly, able to ‘translate’ between diverse groups of technical and non-technical individuals
Ability to synthesize large amounts of complex data into meaningful conclusions and present recommendations to a vast array of individuals
Partner with business units in order to improve the effectiveness of business decisions
Ability to structure documents to effectively communicate with senior leadership and drive alignment and decision making
Strong problem solving skills with the ability to offer why one technical solutions is more preferable than another
Ability to analyze and interpret complex concepts
Ability to lead a group of employees (directly or indirectly)
Bachelor’s Degree required, Master’s Degree Preferred

250

Data Architect Resume Examples & Samples

Experience with database management systems (DBMS), Oracle, MSSQL, MySQL
Background in data reporting solutions and visualization techniques using, Business Objects, Tableau, etc
Experience with Solr. , natural language processing, and RESTful APIs

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Data Architect Resume Examples & Samples

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Data Architect Resume Examples & Samples

Data Architect Resume Examples & Samples

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Data Architect Resume Examples & Samples

Data Architect Resume Examples & Samples

Data Architect Resume Examples & Samples

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Data Architect Resume Examples & Samples

Data Architect Resume Examples & Samples

Data Architect Resume Examples & Samples

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