Senior Data Architect Resume Samples

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T Hartmann

Tracey

Hartmann

802 Boyer Hollow

New York

+1 (555) 466 8644

802 Boyer Hollow

New York

Phone

p +1 (555) 466 8644

Experience Experience

Los Angeles, CA

Senior Data Architect

Los Angeles, CA

Roob-Schmeler

Los Angeles, CA

Senior Data Architect

Mentor Data Engineers, providing guidance and resources for their development. Perform spot checks to monitor work quality
Works with Data Integration developers to develop Data Integration Workflows and load processes
Work with the Project Managers for specific matters of scope, tasks, and resources to drive the Data Management implementation for ACI
Create documentation and formulate training approach to assist business users and IT members in designing & effectively using the solutions developed
Provides technical consulting to application development teams during application design and development for highly complex or critical projects
Provides assistance and advice for development of ERP architecture and ensuring alignment with overarching Navy and DoD Enterprise Architectures
Knowledge of how to assess the performance of data solutions, how to diagnose performance problems, and tools used to monitor and tune performance

Dallas, TX

Ncis Senior Data Architect

Dallas, TX

Weber, Hickle and Bauch

Dallas, TX

Ncis Senior Data Architect

Reviews database design and integration of systems, provides backup recovery and makes recommendations regarding enhancements and/or improvements
Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage
Conducts performance tuning of indexes, optimization of storage functionality, and databases in general
Manages all aspects of end-to-end data processing utilizing customized report building functions of systems
Manage data migration to include the migration plan, cleansing, transformation and testing
Supports client in formulating policies, procedures, and standards relating to database management, and monitors transaction activity and utilization
Develop data definition language (DDL) for database objects

present

Los Angeles, CA

Think Big Senior Data Architect

Los Angeles, CA

Morar, Schmeler and Kub

present

Los Angeles, CA

Think Big Senior Data Architect

present

Development of data flows and templates, often working with the customer’s developers to help them learn how to use Kylo
Development of Java extensions to the Kylo framework
Recommend and implement integration with third-party systems and network management tools
Analyze complex distributed production deployments, and develop a plan to optimize performance
The Senior Data Architect will be responsible for helping customers get started using our Kylo open source framework. Specific responsibilities may include
Installation and testing of Kylo framework
Work with Principal architect and Delivery lead and with customer’s technical resources to implement solutions

Education Education

Bachelor’s Degree in Computer Science

Cornell University

Bachelor’s Degree in Computer Science

Skills Skills

Strong experience with business intelligence and data mining tools such as BusinessObjects, Microstrategy, Tableau, Qlickview, and SAS Enterprise Guide/Miner
Strong leadership and interpersonal skills to resolve problems in a professional manner, lead working groups, negotiate, and create consensus
Large scale transformational initiatives (Financial Crimes), Data profiling and Data Quality initiatives
Experience working in a fast pace IT environment with strong ability to meet tight deadlines
Strong Teradata desired. Oracle, MS SQL Server, Vertica, Netezza, etc. can be alternates. Hadoop desirable
Ability to work in a highly collaborative environment that promotes ideas while balancing objectives
Ability to adapt quickly in a rapidly changing dynamic environment
Strong conceptual knowledge of roles and responsibilities within BI and Data Warehousing (DA, ETL, BI, DBA, SE, QA, and PM)
Organized, adaptable, self-starter, highly motivated by challenge, and a team player
Strong analytical and conceptual skills, Excellent team building, mentoring people

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Senior Data Architect Lead Resume Examples & Samples

University Degree in Systems Analysis, Computer Science, Software Engineering, or Information Systems
Minimum 8+ years of data architect experience with deep knowledge of Enterprise Data Architecture concepts
Expertise in data modelling design (conceptual, logical, physical), dimensional data models, ETL processes, data dictionary and metadata
Expertise in implementing operational data stores and real time integration
Experience with development methodologies and database platforms (Oracle/SQL Server, Terradata, DB2) including SQL commands
Solid understanding of both Inmon and Kimball data warehousing methodologies
Experience in implementing MDM solutions or Data Warehousing solutions
Experience in managing a data architecture team
Experience in data modeling tools (Sybase Powerdesigner preferred)
Superior relationship management, consultative, presentation, and communication skills
Good understanding of program governance and project management
Knowledge of big data technology a plus
Financial Services Industry business knowledge preferred
Experience in implementing data model governance process
Experience in implementing data governance tools
Exposure to Data Maturity Model
Solid understanding of products/services in Financial Services industry
Solid understanding of data domains in Financial Services industry
Solid understanding of front-to-back functions and data flows within an organization
Good understanding of data and functional processes within Risk Management and Finance
Proven expertise in designing and implementing data models
Knowledge of Software development life-cycle
Excellent understanding of data representation and modeling including XML and related technologies
Knowledge of data integration tools, data security, data privacy

Senior Data Architect Resume Examples & Samples

Designs, implements and maintains moderately complex databases
Designs and develops new data models and architecture of data warehouses and data marts
Technical resource to address data-related problems of systems integration, compatibility and multiple-platform/DBMS integration
Leads implementation of data warehouse and related data marts (e.g., staging and production, table development, extranet, transfer and load processes, and aggregation processes and data validation)
Functions as a technical expert in the design, development, modification and debugging of data models, databases, BI reporting solutions, etc
Ensures that data projects follow prescribed development life cycle and meet quality standards
Monitors database performance, recommends tuning/redesign activities and resolves complex issues
Keeps current with database, data modeling and data warehousing trends and technological innovations in the banking and IT industry, and makes appropriate development recommendations
Ensures reporting requirements are considered up front in projects, and designs/implements the data solutions to support the Business Intelligence reporting
Ability to work well with onshore and onshore resources

Senior Data Architect Resume Examples & Samples

Evolves data models to meet new and changing business requirements
Maintains central metadata repository for data warehousing data models
Maps logical data models to physical data models and the Data Definition Language
Communicates database designs to business and technical audiences, including business users, program sponsors, database administrators, ETL developers and BI developers
8+ years of experience as a data architect in large-scale, complex BI environments, with numerous data sources, BI applications, and thousands of users
6+ years of experience with ERwin Data Modeler or similar tools
5+ years of hands-on experience with large-scale data warehousing MPP platforms such as Netezza and/or Teradata
Familiarity with ETL tools for large data volumes such as Informatica

Senior Data Architect Resume Examples & Samples

Minimum of 10 years of experience designing large scale data models for data warehouse environments
Diverse experience with database technologies including MPP appliances (Oracle, MS SQL, Hadoop, DB2 etc.)
Strong experience with large data sets ( >50TB)
10 years of Data Warehouse experience including demonstrated strong Logical, Canonical, Rational, Dimensional and Physical Data Modeling skills
Minimum 10 years of experience with data modeling tools (such as IBM Data Architect, Sybase Power Designer, Erwin, ER*Studio); experience in normalized, dimensional, star schema and snow-flake models
Proficiency in master data management (MDM) projects and solutions
Experience in online marketing disciplines (Mobile marketing, Display, SEM/SEO, Social Mobile, etc.) is a plus
Experience with large-scale graph algorithms, clustering, page-rank, and community detection is a plus
Knowledge and appreciation of Retail business concepts and requirements
Ability to apply policies and procedures to solve every day and/or complex company issues
Ability to gather business requirements, perform analysis, and establish/recommend a data integration architecture
Extensive background in database systems along with a strong knowledge of SQL
Experience with Agile/Scrum is valuable
Experience with data modeling and data virtualization tools
Ability to exercise initiative, problem-solving and decision-making skills
Proven ability to work creatively and analytically in a teamwork-oriented environment
A minimum of a Bachelor's degree or comparable job-related experience is required

Senior Data Architect Resume Examples & Samples

Sourcing
Inventory existing usage and data lineage
Capture Risk data requirements
Map data requirements to common data dictionary
Architecture & Schema Design
Determine appropriate technologies and architecture for quantitative modeling data, inclusive of regulatory data provenance requirements
Support financial modeling research, involving ad hoc queries of very large datasets, for applications including statistical analysis, machine learning, and pattern recognition
Develop solution for efficient ETL into statistical packages
Create and maintain production data systems for quantitative financial Models
Design and implement appropriate metrics and processes to ensure adequate timeliness, accuracy, completeness, consistency, and referential integrity

Senior Data Architect Resume Examples & Samples

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or related field. Master’s degree is preferred
10+ years in business and information technology leadership with a focus on developing and delivering IT strategies to meet business objectives
Extensive experience in delivering data architectures to meet strategic Business Intelligence objectives
Relevant certifications such as: TOGAF, CDMP, CBIP, etc…
Complete understanding of data and application architecture concepts, best practices, etc…
Proven ability to collaborate with cross-departmental teams to develop a cohesive and comprehensive understanding of the key business drivers & requirements and to drive a data and systems architecture to meet those business needs
Experience with and establishing data architectures across the following enterprise class applications and integration technologies is preferred: Oracle eBusiness Suite, Demantra, Salesforce.com, Business Objects, Tableau, Cognos TM1, Oracle Product Data Hub, Marketo, Oracle SOA Suite, Informatica, Tibco, etc… plus custom applications using Oracle Database, MarkLogic, etc…
Education, Publishing, Media or equivalent industry experience preferred
Firm understanding of Data Analytic, Business Intelligence, Big Data & Data Warehousing solutions is preferred
Experience with Data Modeling/Warehousing designs/operations
Knowledge in Master Data Management architectures and concepts preferred
Experience with Big Data principles, best practices and technologies preferred
Experience with data governance platforms and tools such as: Global ID’s, Collibra, Informatica preferred
Solution-driven, customer service mindset with the ability to multi-task and work agilely within tight deadlines
BI / Data Analytics / Data Architecture / Big Data certifications a plus

Senior Data Architect Resume Examples & Samples

Bachelor's degree in Computer Science or related discipline
Minimum 5 years as data architect
Expert knowledge of Erwin or System Architect
Experience with RDBMS (DB2 UDB, Oracle preferred)
Prior experience working with data modeling repository server environment
Excellent SQL and DDL skills
Experience with project lifecycle development
Ability to write clear design and process documentation
Experience with Microstrategy and/or Cognos
AbInitio EME/EMMS for the analysis of metadata
Extremely detail-oriented and able to follow clear methodologies for troubleshooting and development

Senior Data Architect Resume Examples & Samples

End-to-end data architectural accountability for all solutions within the scope of Freestyle and People Functio
Assess and recommend strategies including ETL frameworks, Data Management, Data Quality, and Data Cleansing
Eliminate unnecessary movement of data, strive to improve data quality and reduce data redundancy and fragmentation
Develop approaches for modernization, data quality improvements, highly adaptable, scalable and high performance
Partner strategically with the IT & Business Service Leads across TCCC to guide technology direction, short/long term roadmaps, and holistic value across the portfolio
Collaborate with BIG / TCCC architecture community to develop Architecture Strategies for existing and emerging process/technologies
Technical recommendations for big data, data analytics, data transformation, etc
Guiding migrations and upgrades by collaborating with Platform Architects
Relation Databases: e.g.DB2, Oracle, MySQL, Postgress databases, Redshift, Teradata
NoSQL Databases: Hadoop, HBase, Cassandra, Splunk
Statistics, Data Mining, Machine Learning (Mahout a plus)
Real time analytics and data processing
Web analytics
Data Visualization: e.g. Microstrategy/Tableau experience a plus
Self Directed – Resource should be passionate about the work
Competent Multi-tasker – There are a lot of projects in bursts. The resource must be able to accomplish prioritized tasks, given a mixture of coarse and fine grained priorities

Senior Data Architect Resume Examples & Samples

Minimum 7 years data modeling experience
Technical Knowledge
Extensive knowledge of data modeling tools (ERWin, Embarcadero)
Knowledge of relational and dimensional data modeling
Knowledge of DB2 and Exadata
Excellent SQL skills
Manual DDL scripting
Hadoop knowledge is a plus
Microstrategy knowledge is a plus

Senior Data Architect Resume Examples & Samples

Lead and participate in the design and implementation of Big data and BI solutions using Hadoop and Apache open source components as well as enterprise grade BI and analytics solutions from leading vendors
Analyse user requirements and create effective and efficient data related solutions
Perform data exploration, mining, and forecasting
Explore and propose solutions to business problems that can be addressed using insights from data
Develops data architectures strategies, principles, standards and frameworks. Analyzes and evaluates alternative tactical and/or strategic data architecture solutions to meet business requirements

Senior Data Architect Resume Examples & Samples

Works with the Business Analysts and Data Integration Developers to translate the business requirements into a logical model
May also be considered a Data Warehouse Architect, in cooperation with the Technical Architect and includes responsibility for developing the overall Data Warehouse logical architecture, specifically the configuration of the data warehouse, data marts, and an operational data store or staging area
Works with business requirement team, analysts and developers to ensure stakeholder requirements are addressed through integration solutions in a manner that aligns with timelines, budgets and quality expectations
Designs an information strategy that maximizes the value of data as an enterprise asset
Develops and implements data integration strategy and associated policies as it pertains to lean integration practices
Develops logical data models, and documents the models in Entity-Relationship Diagrams (ERD)
Maintains logical/physical data models
Coordinates the metadata associated with the application
Develops and communicates data standards
Develops technical design documents
Profile source data and determine all source data and metadata characteristics
Present profiling/audit results, in summary and in detail, to the business analyst, the project manager, and the data steward
Maintains data quality metrics
Plans architectures and infrastructures in support of data management processes and procedures
Supports the build out of the Data Warehouse, Data Marts and operational data store
Effectively communicates with other technology and product team members
Develops data transformation designs
Works with Data Integration developers to develop Data Integration Workflows and load processes
Ensures adherence to proprietary and open data format standards for all developed components
Performs data analysis for source and target data
Provides technical documentation of transformation components
Supports the development and design of the internal data integration framework
Participates in design and development reviews
Works with system owners to resolve data transformation issues and to refine transformation components. Ensures that performance metrics are met and tracked
Authors and maintains unit tests
Conducts QA reviews
Solid understanding of XML and XML Schema technologies
Solid understanding of data transformation (e.g., parsing, mapping and serialization processes)
Knowledge of appropriate data formats as required (e.g., EDI, HIPPA, Swift, etc.)
Ability to work with business and system owners to obtain requirements and manage expectations
Solid understanding and working skills in Master Data Management, Customer Data Integration, Extract Transform & Load, Enterprise Information Integration, and Enterprise Application Integration
Advanced knowledge of Federated Database Systems, SOA-based Data Integration, and Data Governance
Basic and Intermediate training in B2B Data Exchange
Knowledge of PowerCenter
General knowledge of XML and XML schema design
High school diploma or equivalent required
Requires a Bachelor's degree in Computer Science, Mathematics, Engineering or a related field from an accredited institution and 3 - 5 years practical experience in data architecture including data transformation, data warehousing, data mining
Post-graduate education or training desirable

Senior Data Architect Resume Examples & Samples

Responsible for all conceptual, logical, and physical data modeling to support current and future business and technology requirements
Specifies overall Data Architecture for all areas and domains of the enterprise, including Data Acquisition, ODS, MDM, Data Warehouse, Data Provisioning, ETL, and BI
Assesses business processes, data sources, and data utilization across the enterprise to ensure optimization, extensibility and application of the data model and architecture
Works with and directs the data architects and data developers to design, test, implement and support the enterprise data model and architecture
Continually works with the Data Services team, Solution Architects, BAs, and QA team to ensure consistent clarity and alignment of data design, functionality, and business requirements
Designs solutions for non-functional data requirements such as SLAs, historical archiving, privacy & security
Works with DBAs on performance optimization, Service Level Agreement definition and tracking
Identify, evaluate, and recommend emerging data technologies and technology providers that will improve the business
Liaise with the vendor and external support on issues such as upgrades, technical problems and solutions
Demonstrate and promote a workplace culture of innovation, high performance, accountability, commitment, respect and teamwork
Manage resource allocations, project plans and deadlines. Monitor the progress and integration of multiple tasks and projects. Provide regular status updates to the appropriate parties
Perform other duties as required or requested
Minimum 7 years experience with enterprise data architecture, data modeling, ETL, Oracle relational databases and high volume transaction processing systems, preferably in a custom software development environment
Minimum 1 year experience in large data environment of 10+ TB of data preferred
Minimum 7 years experience with data modeling tools (such as IBM Data Architect, Sybase Power Designer, Erwin, ER*Studio); experience in normalized, dimensional, star schema and snow-flake models
Minimum 7 years experience with Oracle RAC, PL/SQL, query optimization, indexing, replication, data presentation to business users
Proficiency with high volume OLTP Databases and large data warehouse environments
Proficiency with DB2 highly preferred
Well versed with Software Engineering processes (especially Agile) including hands-on experience with UML methodologies
Proficiency with MPP platforms
Strong analytical / problem-solving skills
Knowledge of Entertainment Industry a plus

Senior Data Architect Resume Examples & Samples

Bachelor’s Degree in engineering, information technology, math, sciences or technical discipline
5 years of Data Modeling experience leveraging industry acceptable methodologies (Inmon, Kimball, Hammergren) and Tools (ERwin, Embarcadero, Data Architect, Power Designer)
5+ years of experience in Relational or Data Mart / Data Hub design (logical and physical) for applications using Oracle
3-5 years of demonstrated experience in designing and developing data strategies for data acquisition, integration and transformation in support of complex, enterprise level solutions
3-5 years of hands-on experience implementing Normalized (1-5NF) database models, creating physical design in support of functional requirements, resolving data integration and performance issues, fine tuning and administration
Proven experience creating and implementing Data Dictionaries, MDM strategies, Data Quality and Governance frameworks
3-5 years of experience in a technical leadership role providing technical guidance and leadership to other developers on BI/Reporting projects
Proven experience engaging business users to ensure that appropriate business needs are clearly defined, communicated and delivered at or above expectations
Deep knowledge of traditional and modern data structures, data base design, data warehouses, Operational Data Stores, Integration Hubs, business intelligence/analytic tools, SQL, ETL tools, and data integration methods
Experience presenting and communicating to project and functional leadership
Familiarity with “big data” and analytics, data mining, predictive analysis
Experience in one or more of the following technologies: Cognos, Tableau, SPSS, SAS, Golden Gate
Experience working with DBA’s in implementing efficient databases

Senior Data Architect Resume Examples & Samples

Create and maintain formal enterprise information management requirements that include business architecture models, conceptual and logical data models, data flows, enterprise data standards, adoption strategies, and data remediation recommendations
Ability to work closely with key technology and business SMEs to address business architecture requirements
Financial services experience required, institutional and/or financial instruments experience preferred
10+ years of experience with Business Analysis, Data Analysis, Data Architecture and Data Modeling
10+ years of experience developing enterprise level architectural solutions
10+ years of experience in coordinating project activities and tracking milestones, deliverables, and identifying risk and issues

Senior Data Architect Resume Examples & Samples

Experienced across all phases of data modeling, from conceptualization to database optimization
Advanced expertise Analytics and working understanding of technologies such as SPSS, R, SAS, Cognos, Tableau, and/or MicroStrategy
Excellent organization and project management skills with a track record of successful project delivery
Strong judgment and decision making skills
Data Management Certifications such as CDP, CDMP are highly desirable
Track record of successful data architecture, enterprise data architecture delivery including data modeling and governance solutions
Flexible and adaptable in regards to learning and understanding new technologies and data architectures
Ability to conduct research into business intelligence, visualization, and business analysis tools

Senior Data Architect Resume Examples & Samples

Minimum of 15 years of experience designing large scale data models for data warehouse environments
15 years of Data Warehouse experience including demonstrated strong Logical, Canonical, Rational, Dimensional and Physical Data Modeling skills
Minimum 15 years of experience with data modeling tools (such as IBM Data Architect, Sybase Power Designer, Erwin, ER*Studio); experience in normalized, dimensional, star schema and snow-flake models
A minimum of a Bachelor’s degree or comparable job-related experience is required

Senior Data Architect Resume Examples & Samples

Experience with transactional, message and big data
Experience with a variety of data model tools (Sybase PowerCenter, Erwin, UML, etc.)
Extensive knowledge of Relational Database Design, Dimensional Database Design, Semantic Web Design, and Cloud data storage and analytics
Knowledge of ETL and Data integration techniques; Informatica Power Center, preferred
Hands-on experience in usage and design considerations of 3rd Normal Form OLTP Databases/ Models
Hands-on experience in developing OLAP solutions: data warehouse/mart/BI and big data storage and analytics
Hands-on experience in creation and usage of ETL Design Specifications and Dimensional Models (Star Schema, Kimball, Inmon)
Basic understanding of Business Intelligence solutions and both their data and technical requirements
Basic understanding and working knowledge of the following Data Management disciplines
Relational Database
Google BigQuery
Data Visualization
Hadoop, Google Big Data approaches and methodologies
Strong written and verbal English language skills

Senior Data Architect Resume Examples & Samples

In-depth knowledge and hands-on experience with data integration & ETL development
In-depth knowledge and hands-on experience of database/appliance systems, specifically Teradata, Sybase, Oracle and/or DB2
Client and server side development using Web toolkits and Java
Batch processing and scripting in UNIX/Linux Environment (shell scripting, Perl, Autosys)
Strong Communication skills
Experience with data service architecture
Knowledge and hands-on experience with reporting and analytic tools such as Business Objects, SAS, etc
Desired but not mandatory

Senior Data Architect Resume Examples & Samples

Build and Manage a cohesive data architecture & data governance standards, coordinating resources, managing project scheduling, providing technical direction and standard data architecture best practices for the applications assigned to his/her portfolio
Negotiate IT project requirements such as scope, schedule, cost, resources, integration, change, quality, etc
Responsible for the development project schedule, deliverables and quality code
Manage communication across the enterprise groups, that impact scope, schedule, budget, risk & resources
The incumbent should bring a strong Project Management & Technical Support background. The incumbent is accountable for leading initiatives; the individual must thrive on challenge, be proactive and dynamic, and demonstrate initiative and eagerness to learn
Establish and champion quality improvement activities for the department
Accountable for managing data integration and definitions across many enterprise HR applications
Participate in vendor product assessment and selection, providing recommendation based on solution reviews and product comparisons
As required, perform code reviews, functional reviews as necessary, ensuring quality and efficiency and focused on timelines
Responsible for meeting scheduled milestones to ensure project objectives are met in a timely manner and are in compliance with the IT technology Roadmap
Ensure Bank's standards and/or external regulatory policies are been met. e.g. SOX
Coach and mentor project team members as well as help in the recruitment and identification of talent as part of a senior project team leadership
The incumbent is guided by the Bank policy and receives general direction from the Director or VP on how to apply and overcome issues
The incumbent is expected to function independently to ensure that the assigned tasks and project objectives are met
The incumbent will have at least 10 years of progressive IT experience, preferably with knowledge in HR applications, the ability to lead and collaborate with a team of technology focused staff and the ability to manage multiple projects concurrently
Foundation in systems development: the incumbent should understand the system development life cycle; software project management approaches; and requirements, design, and test techniques. The incumbent is asked to conceptualize and influence application and interface projects, and therefore must understand what advice to give to steer toward desirable outcomes
Depth in data modeling and database design: The incumbent should have strong work experience across all phases of data modeling, from conceptualization to database optimization
Breadth in established and emerging data technologies: In addition to depth in established data management and reporting technologies, the incumbent is either experienced or conversant in emerging tools like columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data. While not necessarily having deep knowledge in all of these technologies, but must understand them sufficiently to guide the organization in understanding and adopting them
Ability to influence, emphasize methodology, modeling, and governance, technologically and politically neutral, articulate, persuasive, and enthusiastic

Senior Data Architect Resume Examples & Samples

The Senior Data Architect must have extensive industry experience in data modeling, best practices and standards
Work as Senior Technical member of cross-departmental teams on multi-platform database development
Analyze data across multiple sources to design and document logical and physical data models, and maintain the Enterprise Data Warehouse Data Model
Gather and define data requirements based on specific application business requirements
Define conceptual, logical and physical data models
Prepare normalized models and dimensional models
Bachelor’s degree in Computer Science, Information Systems or related course study required and/or equivalent combination of education and experience preferred
Minimum 8 years experience in data architecture with one or more of the following: Teradata, SQL Server, Vertica, and Oracle
Minimum 5 years of experience in designing conceptual, logical and physical data models, data dictionary maintenance, and metadata management
Minimum 5 years of experience in dimensional data modeling and business intelligence tools
Excellent SQL skills for complex data analysis and data quality assurance
Exceptional data modeling skills
Experience designing and implementing large data retrieval processes, billion+ records association and aggregations
Demonstrated Ability to communicate and gather requirements from the business
Ability to partner with enterprise architects, business architect, analysts and development team to deliver rapid iterations of complex solutions
Client facing skills
Project organization, planning, vendor management and leadership skills
Strong Teradata desired. Oracle, MS SQL Server, Vertica, Netezza , etc. can be alternates. Hadoop desirable
Comprehensive understanding of Data Warehouse design principles
Ability to proactively identify, troubleshoot and resolve complex data integrity issues
MS and Teradata Certification preferred
Knowledge and understanding of SOAP protocols desirable
Experience in analyzing large volume datasets like weblogs desirable

Senior Data Architect Resume Examples & Samples

BE / B.Tech / ME / M.Tech in ECE & CE with at-least 13+ years of experience
Must have minimum 13+ years of Experience in Database/Web/Middleware Architectures
At least 7+ years of experience in Aerospace domain
Must have experience in Data Analysis, Modelling, integration and Design
Must have handled at-least 1 program as Data Architect for any Enterprise application
Must be good at Technical Leadership with an ability to quickly adapt to latest technology trends
Should have experience in defining database system architecture for multi-disciplinary system solution with software and hardware elements
Must have experience in converting System Requirements to Database Architecture/Design concepts
Must be well versed with Architecture styles and patterns and trade off analysis using standard methodologies
Must have used standard tools for architecture representation
Should have experience in defining database system architecture for multi-disciplinary system solution
Should have excellent knowledge and exposure to database systems with both Hardware and Software
Strong analytical and conceptual skills, Excellent team building, mentoring people
Expertise in Datacenter, Multidisciplinary programs
Experience in Windows/Linux/Solaris, Cloud, Big Data Architectures is a must
Experience in IOT, integrating Software stacks for third party is desirable
Experience in Avionics Systems and exposure to FMS/DSS/FSS/ECOM is added advantage
Certification Knowledge and exposure to RTCA DO-200/DO-272/DO-276/DO-291 is preferable
Exposure/appreciation for CMMi / AS9100 / ISO is added advantage
Must have good communication & negotiation skills
Proficient in written and verbal communication
Must be a self-starter, proactive and willing to learn and grow with the business

Senior Data Architect Resume Examples & Samples

Perform complex product design activities which may require extensive research and analysis
Influence projects/initiatives to make decisions related to data strategies including data quality, data architecture and data management best practices
Provide expert data modeling and data validation services that produce flexible, extensible data structure design solutions that support effective business decisions
Mapping of relational entities to use cases or business requirements and assisting in the development of data services
Create and manage an array of data design deliverables including data models, data diagrams, data flows and corresponding data dictionary documentation
Follow standards for database design and overall data architecture to assess data quality and act as a liaison with various technical service teams which include database administrators and platform administrators
Serve as an advocate for the data architecture team and data management discipline, policies and standards across the business unit
Support analysts in requirements development, research and verification
Participate in full life cycle development to meet project objectives
Participate in the development of software documentation
Strong technical understanding of data modeling, design and architecture principles and techniques across master data, transaction data and derived/analytic data
Deep knowledge of best practices through relevant experience across data-related disciplines and technologies, particularly for enterprise-wide data architectures, data management, data governance and data warehousing
Highly competent with relational database design and structured query language (SQL)
Strong familiarity with data management tools, including enterprise repository tools, data modeling tools, data quality tools, data mapping tools, and data profiling tools
Solid understanding of Business Intelligence and Data Warehouse technologies (e.g., Business Objects, Netezza, Oracle, SQL Server, Informatica). Hands on experience a plus
Strong aptitude to learn business processes/products and the role of data within the business domain
Strong conceptual knowledge of roles and responsibilities within BI and Data Warehousing (DA, ETL, BI, DBA, SE, QA, and PM)
Working knowledge of SDLCs (RUP, Waterfall, and Agile)
Demonstrated ability to balance architectural theory with practical solutions
Ability to adapt quickly in a rapidly changing dynamic environment
Ability to manage a large workload covering multiple projects and business disciplines
Results Oriented
Aware of business issues as they impact overall project plans

Senior Data Architect Resume Examples & Samples

To present ideas, expectations, and information in a concise, well-organized way using excellent judgement, technical insight, and to think out of the box
Provide technical and data leadership to the application development group, IT, and the enterprise
Develop and maintain conceptual, logical and physical data models
Develop and implement standards and processes for ensuring data quality
Collaborate with domain and enterprise architects for delivery in compliance to strategic enterprise direction
Be conversant with and cognizant of the future direction of systems, impact to the enterprise and how future and current systems can be exploited for the benefit of the enterprise
Provide input and consulting support on projects and road maps for compatibility with the enterprise vision
Understand business requirements and translate them to the enterprise data and process models
Setup the physical data model including all physical database configurations such as indexes, tablespaces, table partitions, table constraints, relationships, etc
Understand RDBMS concepts especially in the area of database optimization
Contribute to database tuning and performance enhancement at a server and database level
Stay current on assessments of technology for the business
Fulfill departmental requirements in terms of providing work coverage and administrative notification during periods of personnel illness, vacation, or education
Solution and delivery oriented with ability to work on multiple projects simultaneously
Strong communications and presentation skills with a proactive, energetic approach
Project Management and coordination skills
Business Intelligence/Data Warehouse overall design – 3+ years
Experience with data modeling using ERwin or PowerDesigner and the Data Model Driven Approach – 5+ years
Data requirements gathering – 5+ years
Data profiling – 10 years
Strong documentation skills using different tools including the MS Office tool suite

Senior Data Architect Resume Examples & Samples

Provide guidance and advice in the following areas
Bachelor's Degree from an accredited college or university required; an additional four (4) years of related experience may substitute for degree
At least ten (10) years of related experience required
DATA BASE and DATA MODELING (required)

Senior Data Architect Resume Examples & Samples

Serves as the lead resource in the oversight (delivery) and planning of information management projects and provides extensive technical and strategic guidance to project team members
Ensure best practices and standards are adhered to across DWH/BI projects
Conduct and lead white-boarding sessions, workshops, design sessions, and project meetings, playing a key client-facing role for the project
Partner closely with business users to identify and analyze business requirements
Understands clients’ operations and business processes to design and recommend end-to-end information management solutions, including database design/structures, data integration and reporting frameworks, security, backup, and recovery
Evaluate potential technology/tool solutions that meet business needs, and facilitate the internal and external discussions towards desirable outcomes
Effectively manage team resources to achieve project outcomes, collaborate with other architects, and mentor junior resources
Effectively diagnose, isolate, and resolve complex problems pertaining to data infrastructure, including performance tuning and query optimization
Create functional and technical documentation related to data architecture and business intelligence solutions
Define solution roadmaps to achieve an end-state solutions, including capability prioritization and cost estimates
Review project communications and deliverables to ensure a consistent and high-quality client project experience
Engage with client senior leadership to build rapport, address strategic concerns, and translate complex technical terminology and concepts to an appropriate level (e.g. explain to non-technical staff)
Follow technology and industry trends and educate sales and solutions teams on new developments that will impact existing or potential clients
Works with pre-sales teams to develop proposals and pricing models for complex and innovative customer solutions
Reviews and assesses technical proposals, validating the feasibility of technical approach/design and rationalizing effort and resource estimates
Bachelor’s Degree in Computer Science, Information Technology, or related field, or foreign degree equivalent
8+ years of progressively responsible, post-baccalaureate experience in Business Intelligence or Data Management, architecting and implementing enterprise data and analytic solutions
6+ years of experience with database design, from conceptualization to database optimization, using common cloud and on-prem platforms such as AWS Redshift, Azure SQL Data Warehouse, BigQuery, SQL Server, Teradata, Oracle, etc
Experienced in architecting and implementing emerging technologies/tools such as AWS, Hadoop, Cloudera, and/or Hortonworks, to address predictive analytics and unstructured data use cases
Deep experience or knowledge in foundational information management principles such as data governance and master data management
6+ years of experience leading DWH/BI implementation teams, managing project scope, providing technical leadership, and mentoring junior resources
Strong leadership and interpersonal skills to resolve problems in a professional manner, lead working groups, negotiate, and create consensus
Must have experience developing and reviewing proposals and pricing models for new projects
Must be able to astutely operate in and navigate through the client organization
Strong written/oral communication and presentation skills
Highly self-motivated, entrepreneurial, and an enquiring mind
Smiles
Must be willing to travel to client locations in the NY and NJ area

Senior Data Architect Resume Examples & Samples

Responsible for Gogo Application Data Architecture practice
Lead Application Data Lake, Big Data Platform containing application generated data
Key partner with Business Analytics team on advance analytics activities
Ability to be hands-on and lead teams database Administrators that support the enterprise
Defines and executes overall strategic direction and roadmap for the Enterprise’s Application Data Architecture, data strategy and Integration
Assesses readiness of technical solutions and hardware including systems, tools, technologies, and processes
Recommends, and enforces data and technical solutions, standards, and governance for the program/project and other technical measures
Acts as strategic leader with ability to influence, collaborate and deploy innovative technology solutions
Evaluate and ability to influence key technologies include: 1.Data Lake Architecture, 2.Integration Services, 3.Application Database Services, 4.The direction of enterprise RDBMS choices
Managing projects including planning, design, build, test, and deployment
Responsible for identifying technical trend opportunities for enterprise data and performance improvement; and in converting those opportunities into valued assets that exceed business goals and produce clear ROI
5+ years –Database Design (MPP and Transactional) such as SQL Server, Oracle, DB2
Excellent knowledge of Hadoop (Cloudera), EMR, DynamoDB (Cassandra), or similar solution
Strong Linux system administrator skills
Strong analysis and troubleshooting skills and experience
Self-starter who is excited about learning new technology
2+ years Enterprise Data Architecture, Development, Data management experience
Experience in BIG DATA (Hadoop stack preferred)
Experience with Data Architecture: application, reporting frameworks, modeling, processing, availability and scalability
Understanding of advanced architectural principles of Enterprise Data Management including master data management, modeling and architectural principles applied to Application Databases
Bachelor's degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field
Strong knowledge of Linux system monitoring and analysis
Expert knowledge of Hadoop 1 & 2 architectures and administration and support
Expert knowledge in Map-Reduce, Cascading, HBase, HDFS, Pig, Hive, Spark
Strong knowledge of real time streaming frameworks and patterns. Such as experience with Kinesis, Kafka or equivalent solution
Good understanding of machine learning frameworks such as Spark MLib, Apache Mahout or equivalent
Strong core java or scala development experience and basic coding/scripting ability in Python, Perl, and/or Ruby
Extensive Database experience (MySQL, SQL Server, Oracle)
Prior working experience with AWS - any or all of EC2, S3, Data Pipeline, Redshift, RDS, DynamoDB, EMR
Exposure to security concepts / best practices
Experience managing full application stacks from the OS up through custom application

Senior Data Architect Resume Examples & Samples

Maintain and manage large and complex data architectures for multiple business domains, functional divisions and product areas
Evaluate and make recommendations to senior product management and applications architects on product data features, re-engineering opportunities and the overall direction of data and object architectures
Ensure the adequacy of models and designs that have high business, substantial performance or long-term directional impact
Direct and oversee the analysis and design of metadata solutions. They design and lead the design for data structures with a high degree of reuse and flexibility
Analyze complex business requirements and create or give direction to less experienced analysts on constructing virtually any form of business or logical data or class models
Demonstrate the highest degree of knowledge in data subjects and provide consulting to project teams, other data analysts, senior management and may interface directly with external clients as required
Consistently develop data deliverables with a high degree of proficiency. They perform reverse engineering and data restructuring activities and may be accountable for large data mapping and data conversion projects
Serve as a trainer, mentor and technical go-to resource for those less experienced. They may also supervise and/or direct the work of data architects, technicians and/or analysts
Minimum of 10 years experience leading IT architecture, data architecture, product development or infrastructure engineering domains
Maintains relevant technology certifications or mastery in one or more technology areas
Demonstrated experience collaborating with cross functional teams and customers to define and implement IT architecture and technology changes
Previous experience successfully leading and influencing teams through significant technology, process and organizational change
In depth knowledge facilitating projects and reaching decision on topics with conflicting priorities, philosophical opinions, point of view or approach; Capable of pragmatic negotiation
Experience evaluating, selecting and developing new products or services
Ability to identify, communicate about and mitigate risk
Demonstrated knowledge and prior success developing and presenting financial and business case recommendations
Demonstrated problem solving and decision making experience (identifying and analyzing problems, weighing relevance and accuracy of information, generating and evaluating alternative solutions and making recommendations)

Senior Data Architect Resume Examples & Samples

Design and development of the enterprise information architecture across multiple data types (structured, semi-structured and unstructured) to ensure consistency and availability of information assets across the enterprise
Expertise in developing a meta-data driven framework of re-usable pattern based solutions to achieve the architectural objectives of simplicity, modularity, and integration
Create enterprise data models that are optimized based upon the use case (Operational layer, master data layer, reporting layer, meta-data layer)
Develop and own master data models for core data entities such as Customer, Employee, Product, Vendor, etc
Create and maintain the Enterprise Data model at the Conceptual, Logical and Physical level
Maintain data dictionary for core data entities and work with business teams for approval and maintenance of new data elements
Ability to take on multiple data roles from architect to developer to analyst
Ability to perform data analysis and perform troubleshooting and resolution of data quality and integration issues
Steward of Enterprise Data Lifecycle Management including compliance, data quality, data integration, and data security technologies
Using problem-solving, critical thinking skills, and independent thinking to overcome challenges
Lead the translation of business needs to requirements through requirement gathering sessions and collaboration with stakeholders
Closely interact with business groups and technical teams throughout the company such as, Engineering, Sales and Finance groups
Create documentation and formulate training approach to assist business users and IT members in designing & effectively using the solutions developed

Senior Data Architect Resume Examples & Samples

Define and document future state strategy and high-level solution roadmap, including but not limited to
10 years relevant experience in technical leadership and/or technology consulting on large enterprise Big Data projects
Knowledge of Agile processes (Scrum preferred)
Experience with architecture standards design and implementation
Experience designing and building large-scale, distributed systems
Experience leading development teams
Experience with complex data modeling
Experience with both SQL and NoSQL technologies in production systems
Knowledge of Domain Driven Design
Able to identify and communicate issues/risks applying technical and root cause analysis skills
Strong decision making, problem solving, and analytical skills
Experience with Data Warehousing, Data Management, and Master Data Management related technologies
Comfortable speaking in front of an executive audience
Desire to take the initiative moving projects/ideas forward with clarity
Adept negotiation skills in high-pressure situations
Available to travel up to 20% of your time
Experience with the following Technologies/Methodologies

Senior Data Architect / Data Manager Resume Examples & Samples

Working as a data manager / architect to lead and work on data engineering, development, and optimization efforts
Developing and implementing a strategic data roadmap for the technology platform that will converge multiple applications and platforms into a global strategic solution
Understanding the correct implementation of tactical data solutions that solve immediate problems, but do not lose sight of strategic targets
Implementing solutions to improve overall data quality, reduce redundancy and duplication, and deliver an optional enterprise data platform
Defining and providing governance of our data TRLs (Target Record Layouts) and our data pipeline schemas
Defining and managing the implementation of processes to monitor data quality and completeness
Fostering relationships with internal data source teams and external data vendors
Understanding global markets data, effectively interpreting the meaning behind data of different types, and turning that data into information that can be used to drive better outcomes for the Compliance function, and the firm overall
Identifying and working with key stakeholders, other business units, and other IT groups to coordinate and facilitate meeting goals while managing relationships with each
Solving the highest impact, highest profile problems with significant business impact through in-depth evaluation of complex business processes, system processes and industry standards
Facilitating the communication of project status, issues, and risks to stakeholders, including senior management and regulators on a timely basis
Providing senior-level contribution to the design, architecture, stabilization, optimization and quality-assurance of critical data platforms for the group
Ensuring adherence to master-plans and schedules. This includes coordination of projects and making sure that the plans for achieving these goals runs smoothly and efficiently, ensuring that projects are completed on time and within budget
Proven experience as senior level Technology and Data manager in enterprise-wide technology development, integration and deployments and possessing excellent communications, strategy and problem management skills
Proven commercial track record implementing data-centric solutions
Participation in the management of multiple concurrent initiatives while relying on extensive experience and judgment to plan and accomplish goals
Ability to effectively work with a wide range of business units and technology groups
Strong problem solving and analytical skills with a proven ability to multi-task and successfully execute complex technical problems
Previous experience with hands-on data architecture, data quality and data management capabilities
An understanding and experience of Data Science techniques, and the ability to apply these to new business problems
Real-world experience in the building of business applications for business users
Experience in test planning & oversight in the data arena
Ability to benchmark test plans against requirements
Deep knowledge of the capital markets, securities trading, and their data flows
Experience with Data Science projects and advanced analytics

Senior Data Architect Resume Examples & Samples

Design, build, and deploy database applications
Document data architecture requirements
Define QA guidelines
Manage the retrieving, compiling, and formatting of large volumes of data
Track project timelines and deliverable schedules and share concerns and issues with project managers and directors
Build applications writing SQL and/or SAS scripts to manage data and / or writing specific build instructions for an off-shore programmer to write the scripts
Manage communications between onshore and offshore implementation team during build. Write and manage tasks to be completed offshore
Initiate SQL optimizer to improve database performance
Work with cross functional team including media strategists, IT specialists and platform developers
Translate business needs into technical requirements including data structuring, data modeling and data visualization

Senior Data Architect Resume Examples & Samples

Expert knowledge of Dimensional Modeling concepts
ETL design and implementation knowledge
Experience with Business Intelligence tools and platforms like Pentaho and GoodData
Oracle and PL/SQL
NoSQL and Hadoop

Senior Data Architect Resume Examples & Samples

Be hands-on in design, coding and testing to guide the team by example
Work with a smart, diverse and fast-growing New York based Data Engineering team to deliver all releases on time with high quality
Collaborate with key stakeholders to understand, document and prioritize key technology decisions, processes and business needs for data
Build the technical identity of the engineering team both inside and outside the company
Monitors current and future trends, technology and information that will positively affect organizational projects; applies and integrates emerging technological trends to new and existing systems architecture. Mentors team members in relevant technologies and implementation architecture
Monitors the project lifecycle from intake through delivery. Ensures the entire solution design is complete and consistent from the start and seeks to remove as much re-work as possible
Develops and communicates system/subsystem architecture. Develops clear system requirements for component subsystems
Contributes to and supports effort to further build intellectual property via patents

Senior Data Architect Resume Examples & Samples

Provide thought-leadership, architecture and support for our core data
Establish data blueprints, frameworks, standards and best practices, and communicate them to engineers and analysts
Translate product specs into robust data models that are scalable and iterable
Partner with the Growth & Revenue team to develop strategies for data acquisition, warehousing and reporting
Help ensure that real time analytics are available to product teams and proactively identify when issues arise
Work closely with DevOps to automate deployments, monitoring, alerting, ETL and reporting systems
Excellent understanding and working knowledge of Java, Python, Go or similar. We assume you speak SQL
Deep understanding of relational, NoSQL and data warehousing technologies and when to use each
Experience with RedShift, PostgreSQL and ElasticSearch preferred
Experience with AWS infrastructure highly preferred
Plays guitar or another instrument...or at least listens to music

Senior Data Architect Resume Examples & Samples

Provides data stewardship for broader data-sets stored across Egencia
Data platform
Work closely with the business users and development teams to
Understand what the data is and how it is used in the business processes. Follow the data to how it is stored, replicated, transformed and used
Design and build robust, high-performance, and adaptable solution optimal for modern platform (Big Data/Relational/No-SQL/OLAP) with ability to integrate technical functionality (e.g. scalability, security, performance, data recovery, reliability, etc.)
Define and own Data quality contract with source team and consistency is maintained in Data warehouse. Perform on-going data profiling and data quality analysis to include deep dive analysis on large, heterogeneous to maintain consistency
Work with the developers and Business to assure the highest quality and
Integrity of data to support accurate, consistent, well understood and timely information is available for use enterprise wide
Provide consulting and advisory services to project teams, operations and engineering teams to ensure that data solutions are aligned with our architecture direction, to determine data requirements and to provide advice for analysis, design, and implementation of IT initiatives and projects
Develop and keep current, a high-level data strategy that fits with the Data Warehouse Standards and the overall strategy of the Company
10+ year’s technical and data architecture experience
Strong Ability to incorporate variety of data ingestion, data storage, data querying, data lineage, data variety (structured/unstructured, streaming, batch) options in data solutions
2+ years’ experience in custom ETL design, implementation and maintenance
3+ years of work experience in directly working with internal and external customers
Experience of Cloud managed service offering will be plus (ex. DynamoDB, Redshift, Azure SQL DW)

Senior Data Architect Resume Examples & Samples

Ability to present the pros and cons of various design and SQL coding techniques
Ability to interact with both Business and Technology colleagues
Must have worked on Financial applications using RDBMS design and or architecture
Must have 10+ years hands on RDBMS design and or architecture
Strong experience writing stored procedures, functions, triggers, and adhoc queries using PL/SQL
15 years of relevant work experience: experience in large/complex IT architecture environments and experience as Data Architecture on large-scale development projects
Minimum 10 years experience in asset or wealth domain working with Oracle, Informatica and data management tools like eagle pace
Experience (around 2 years) of working with middleware tools like tibco business works and tibco iprocess will be desired
Experience with Oracle SQL Developer client
Should have experience with source code and version control using Git or SVN
Speaks directly and to the point

Senior Data Architect Resume Examples & Samples

Performs key management and thought leadership in the areas of advanced data techniques including: data modeling, data access, data integration, data visualization, big data solutions, text mining, data discovery, statistical methods, and database design
Defines and achieves the strategy roadmap for the automation solutions
Participate as technical data expert in F&B Automation platforms
Participate in project activities as the Technical Lead partnering with vendors, GIO, business, BA’s, Architects and IT Security
Collaborates with others to set an enterprise data vision and works to gain business and IT consensus
Establishes standards and guidelines for the design and development, tuning, deployment and maintenance of information assets
Engages collaboratively with project teams to support project objectives through the application of sound data architectural principles. Supports projects with knowledge of existing data assets and provides guidance on reusable data structures
Ability to articulate business goals into technical data solutions
Knowledge of external and internal data capabilities and trends, provides leadership and facilitates the evaluation of vendors and products, contributes to the provision of oversight and governance for configuration and implementation of products. Provides training and extends the leverage of our current products across the enterprise
Utilization of advanced data analysis, including statistical analysis, data mining techniques
Participates in enterprise data security requirements gathering, development, and implementation
Partners to create processes that improve data quality across the enterprise
Draws conclusions and effectively communicates findings with both technical and non-technical team members, providing active leadership skills across project team and the business community
10+ years of experience in an IT environment participating as tech lead on projects
10+ years of progressively responsible experience in data architecture, during which both professional and management capabilities have been clearly demonstrated
5+ years of experience with Project Management methodologies and tools
Experience working with IoT platforms to show the value of the data
Experience working with Relational Databases – Cloud Databases (such as Azure SQL DB, Azure SQL DW or similar tools like Amazon Red Shift)
Data Integration experience including moving data efficiently from On-Premise to the Cloud leveraging tools like Informatica, Informatica Cloud Services, SSIS, Mulesoft or Azure Data Factory
Big Data – An understanding of Hadoop and Spark and how to leverage these platforms
Experience with Rich Visualization and Machine Learning – Power BI (or tools like Power BI), R, Python
Experience with Streaming Analytics – Azure Stream Analytics and Storm

Senior Data Architect Resume Examples & Samples

Designs and builds relational database models and defines data requirements to meet the business requirements
Develops strategies for data acquisitions, archive recovery, and implementation of databases
Develops logical and physical database models
Data lineage and audit controls for data movement life cycle
Writes scripts and commands for data manipulation
Plans and conducts database unit and system tests, monitors results, and takes corrective action
Monitors and resolves database performance, database capacity, data integrity and replication issues
Assures integrity of data, software, and hardware; develops policies and procedures related to development and support of new and ongoing systems
Determines transition strategy from current to new architecture, including integration from current data and information systems
Provides technical consulting to application development teams during application design and development for highly complex or critical projects
Ensures compliance with the organization's database standards
10+ years’ experience with Application development with focus on Data Management
10+ years’ experience with the concepts, philosophies and tools behind the design of applications, information and underlying information technologies
Modeling: data, process, events, objects
Data analytics and modeling (SAS)
Data Governance Processes and Technologies (IBM)
Data warehouse modeling and Dimensional Modeling (Star Schema Design). Involved in creating Logical and Physical data models for Data warehouse and Data Marts of end to end BI/Analytics solutions
Data acquisition and integration, OLAP and data modeling tools (Erwin and Enterprise Architect)
Development and management of data lineage and audit controls for data movement life cycle
Large scale transformational initiatives (Financial Crimes), Data profiling and Data Quality initiatives
Creating a very performance oriented physical data models in Oracle. To take advantage of partitions, indexes and Aggregates
Query Tuning from Reports/Integration perspective to meet performance SLA requirements
Self Service BI programs and creating semantic models for successful adaptions by the business team
Building of Data Discovery Platform using analytic/data technologies SAS, R, Hadoop, Oracle and others
Product and vendor liaison
Solid analytical abilities
Excellent communication skills (written and verbal)
Experience working in a fast pace IT environment with strong ability to meet tight deadlines
Self-motivated and not afraid to work in ambiguous situations

Senior Data Architect Resume Examples & Samples

Lead and/or perform all facets of database strategy, architecture, engineering, design, implementation, tuning and monitoring
Develop stored procedures and triggers relating to highly available applications
Responsible for the technical direction of data/information relating to applications within a portfolio and/or delivery of secure data architecture. This includes the creation of data structures and database capabilities involving operational and/or data warehousing databases
Plays an integral role in building and enhancing the data infrastructure required to support the business portfolio while providing consultation to internal business partners, customers and vendors in assessing data management needs
Works primarily with Database Administrators, Data Architects, Application Development teams, production support teams, technical engineering teams and outside vendors
Facilitates improvement solutions by working with all levels across AET to determine data and technology solutions that align with Business strategies, IT strategic directions and compliance objectives
Works with application development teams to define needs and translate into technical deliverables
Monitor the work of vendor partner resources and Database Administrator/Analysts. Provide coaching and guidance expertise on database design, implementation and maintenance to new and other team members
Participate in development of plans and strategies of data management processes and programs
B.S. or M.S. degree in Computer Science, Computer Engineering, or other technical discipline
8+ years of Software Development experience with databases with real-time applications in an enterprise setting
8+ years of experience developing, tuning, stored procedures for performance with a Relational Database (RDMS)
Experience with database development and support of OLTP and/or OLAP systems
Experience in transformation of logical data architectures into physical data designs, according to database design best practices
Experience in monitoring and optimizing database system performance/throughput
Solid hands-on experience with DB2 UDB

Senior Data Architect Resume Examples & Samples

Oversees the Reusable Asset department's process in the division where applicable
Evaluates new products, tools, and applications that will help the division meet its goals
Makes recommendations on enhancements to the Architecture program
May recommend technical standards
Communicate pros and cons to management of new technology trends

Senior Data Architect Resume Examples & Samples

Minimum 8 years’ experience of data architecture with one or more of the following: Teradata, SQL Server, Vertica, and Oracle
Demonstrated Ability to communicate and gather requirements from the Business
Strong Teradata desired. Oracle, MS SQL Server, Vertica, Netezza, etc. can be alternates. Hadoop desirable
Gather and define data requirements based on specific application Business Requirements
Define conceptual, logical and physical data models.Prepare normalized models and dimensional models

Senior Data Architect Resume Examples & Samples

Bachelor's Degree in Information Systems, Information Technology, Computer Science, Finance or Engineering (OR a High School Diploma / GED with a minimum of 4 years of experience in the application of information technologies to business solutions)
Minimum of 5 years of experience serving as an Enterprise Architect, data architect, program manager of large IT projects / programs and / or similar role in a large, complex organization
Minimum of 5 years of experience with various technology and application integration projects
Minimum of 5 years of experience in with process improvements or data architecture implementations
Green Belt Certified or equivalent Quality Certification
TOGAF Certified / ITIL Certified
Track record of successfully developing and driving enterprise level data strategy
Knowledge of big data technologies such as Hadoop, MarkLogic and others
Experience as a DBA, SQL Developer, and/or data modeler
Experience with master data management
Experience serving in a software solutions design and delivery role
Experience estimating strategic, operational, and financial impacts of architecture solutions in support of portfolio initiatives
Proven ability to lead change, gain consensus and continuously improve processes
Experience using Lean Six Sigma tools and techniques to drive change
Strong leadership, Project management and Strategic thinking skills
Solid facilitation and presentation skills to lead design sessions with business and technical audiences to come up with solutions

Senior Data Architect Resume Examples & Samples

Alignment to strategic data goals, working collaboratively with both the Business and IT teams and Enterprise Architecture
Enterprise data capabilities are positioned to scale for future business growth across the Bank
Manage major, multi-disciplinary projects that establish and maintain Scotiabank Enterprise Data Models (conceptual, logical and physical) under the EDMO
Lead, define and manage data engineering projects by managing technical teams in the delivery of analysis, design (data architecture, data modeling), development, unit testing, and support, including the creation of formal written deliverables and other relevant artifacts. To this end, the incumbent will
Assist in the management of team goal planning, achievement assessments and employee development plans
Determine resource requirements and resource planning
Encourage collaboration, participation in cross-training and job sharing activities
Provides counseling and coaching
Develops departmental capabilities to apply innovative emerging technologies and develops expertise to meet future business requirements
The incumbent is responsible for building and maintaining a strong working relationship with peers and management within the business lines
Partner with stakeholders and working teams to translate business strategies and requirements into appropriate data architecture solutions to deliver on business objectives
Be a trusted advisor to the business
Participate in the Domain Working Groups to design and develop strategies, standards and procedures to support the data domains, and closely collaborate with the Application IT Owner, Data Engineers and other groups within IT&S to implement the technology-based components
Oversee and coordinate the data architecture aspects of their data domain to ensure integrity of source system data by ensuring existing data management processes and standards are maintained and followed
Act as the domain’s technology lead in working groups and councils for enterprise-level and cross-domain data management issues
Ensure metadata is captured, maintained and archived, and managing the technical and operational metadata in alignment with Enterprise data governance policies
Collaborate with the Data Steward to develop standards for sourcing data (access and maintenance) through Certified Data Sources (CDSs), ensuring that the CDSs are registered, mapping the data lineage and ensuring protection through comprehensive Service Level Agreements
Implement data quality thresholds, executing data quality testing, identifying data quality issues and remediating them in a timely manner
Collaborate with the Data Steward to address data quality issue management and data change management in a timely manner based on priority and severity
Demonstrated 10-15 years of experience in information management focused on data architecture in the financial services industry. This includes optimizing the management of and deriving insights from unstructured and non-relational data, and provides business value from information content through improved data management, business process optimization and advanced analytics
The incumbent must possess an excellent understanding of data centric systems, development techniques, analytical and formal modeling tools, and keep current with rapidly changing emerging Open Source, Big Data and Distributed Cloud-based technologies to effectively apply to the solution of data and model driven business processes. This knowledge must also be applied to assist the Vice President in establishing future technical directions for the Department
The incumbent must be a highly creative, self-starting, results-oriented, and highly motivated individual with excellent analytical skills in order to apply this knowledge to independently resolve complex business and technical problems that are multi-dimensional and often unstructured and without precedent
The incumbent must be a very strong leader with excellent interpersonal, communication and negotiation skills in order to build consensus and obtain cooperation from both working teams and senior management. These skills, along with the incumbent’s excellent time management and organizational skills, will allow the incumbent to manage major multi-disciplinary projects while planning and scheduling resources to optimize productivity
The incumbent must have business knowledge and experience of the Bank including a deep understanding of the Bank’s vision, goals, and financial objectives, core Bank functions and business processes as well as strategically important projects and their relationship to the Bank’s goals
The incumbent will have a Bachelor’s or Master’s Degree in Computer Science, Information Systems, or other related field, or equivalent work experience
Expert technical skills and knowledge of the following
Hadoop (HDFS, MapReduce, YARN, Spark, Hive, Solr, etc.)
Data Modeling Tools (e.g., InfoSphere, ERWin, etc.)
ETL Tools (e.g., InfoSphere, Diyotta, Informatica, Python, Java, Scripting)

Senior Data Architect Resume Examples & Samples

Prepare documentation, best practices, and specifications
Work as an expert on multiple database implementations and design
NO SUBVENDORS -- MUST BE ABLE TO WORK ON A W2 BASIS**

Senior Data Architect Resume Examples & Samples

Development and maintenance of bank-wide data architecture standards around topics like data modelling, data lineage, golden sources, implementation design patterns & best practices, tooling, etc. in a collaborative exercise with the divisional data architects and subject matter experts. Develop bank-wide adoption frameworks, coordinate the bank-wide adoption of the standards aligned to agreed priorities, and measure progress
Own the data governance meta-model and contribute to the development of data governance operating models. Work with bank-wide data architects, business architecture and CDO groups to further detail operating principles and interactions between central and federated groups towards data governance goals
Coordinate across global SMEs to identify and resolve strategic data design topics related to bank-wide data management. Contribute to the bank-wide Data Architecture Decision Board (Data Design Board – DDB) and participation in corresponding working groups partnering with the group CDO team as well as divisional CDO and Data Architecture teams
Closely liaise with SMEs to support maintenance and enhancement of the enterprise-wide data model and ontology. Manage the banks inventory of data models and help prioritize the book of work for model creation and maintenance. Assist maintaining the authoritative overview of golden sources and help driving the bank-wide mapping of data entities to systems and capabilities. Support bank-wide business and technical lineage solutions and perform vertical traceability between conceptual models and their physical implementations
Collaborate with divisional architecture teams to help drive the ongoing adoption of data architecture standards and best practices. Consult and educate the divisional teams on topics like data modelling, data lineage, traceability between models and other data architecture topics in general to ensure alignment across the bank. Provide data architecture expertise to upcoming and running projects

Senior Data Architect Resume Examples & Samples

Collaborate with Business Analysts, Data Stewards and Business Customers to identify data usage patterns and to formulate business names, definitions and data quality rules for data elements
Perform source data analysis and data discovery and data profiling
Effectively communicate data design to other members of the team to ensure proper implementation and utilization of the data structures; Support development team during process design and during performance tuning
Pursue continuous improvements based on lessons learned and industry best practices. All processes include consideration for data integrity and data quality
Understand the goals and risks associated with the business and technical requirements, and offer counsel on risk mitigation and the alignment of data solution with objectives
5+ years of experience with physical data modeling in Teradata
Expert knowledge of data architecture
Expert in data modeling and Erwin

Senior Data Architect, Netezza Resume Examples & Samples

Use strong understanding of large scale system, information and technology architectures, including application integration patterns, messaging, service-oriented architecture, information models, and data lineage to create data solutions
Assisting with communication interfaces/integration to associated systems
Work closely with IBM support through ticketing system to manage hardware/software failures, appliance upgrades and install patches
Participate in after-hours war-room calls if Netezza production server goes down working through disaster recovery plan this role will create
Identify gaps in existing process documentation, or areas where processes in development need further specification then create it
Make recommendations about platform adoption, including database servers, application servers, libraries, and frameworks
Help developers adopt Netezza through documentation, training, and mentoring
Architect solutions to move workloads off of Netezza to big data platforms
Architect databases with complex application and data security requirements
4 year degree required (Information Systems, Computer Science, Software Engineering, Healthcare Informatics, or related degree)
10+ years of experience with advanced SQL programming skills with ability to write programs against two or more of the following DBMS
An expertise in two integration tools (DTS, SSIS, Informatica, Data Stage, etc.)
Experience with TWS job scheduler
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

Senior.data Architect Resume Examples & Samples

Develop and maintain the Data Warehouse Business Matrix Architecture
Maintain data mapping documents, business matrix and other data design artifacts that define technical data specifications and transformation rules
Over 10+ years of overall IT experience
8+ years of data modeling in a data warehouse environment

Senior Data Architect Resume Examples & Samples

More than 5 years experience in a data architecture function with a strong focus on data modelling
Excellent understanding of data architecture concepts in various domains from conceptual data architecture through to physical data model and message format
Hands on experience with Data Modelling tools (ideally Sparx-Enterprise Architect)
Familiarity with Data Management and Data Governance Tools (e.g. Collibra, IBM Infosphere, Informatica Metadata Manager) beneficial
Strong experience with physical database design and development
Hands-on experience with business as well as technical lineage and related data lineage tools beneficial
Experience working with financial industry data, such as reference, pricing or risk data
Understanding of emerging trends in data technology, such as NoSQL databases, semantic technology, big data beneficial
Strong conceptual and strategic thinking combined with enough pragmatism to implement practical solutions
Good stakeholder management skills, towards data architects, business SMEs as well as senior management
University degree education ideally with focus on Information Technology, finance or business administration

Senior Data Architect Finance Data Lake Resume Examples & Samples

Develop and maintain an integrated data architecture spanning the relational and Big Data landscape, representing the multitude of GE Finance IT functional areas and key business processes including AP, AR, GL, Cash, Order Management, Project Accounting etc
Ensure that all measures for data quality, data governance, security and compliance of data are adhered to
Drive the overall mapping of Business ERPs with the centralized standard data model and ensure extensibility of overall data architecture
Work with Business Analysts, Product Owners, and Business SME to identify requirements and consolidate enterprise data model consistent with business processes
Analyze, design and develop a roadmap and implementation plan based upon a current vs. future state in a cohesive architecture environment
Bachelor's Degree in Computer Science, Finance, Management or Engineering or equivalent
Strong experience as a techno-functional senior ERP consultant with a background in Finance, Supply Chain modules including AP, AR, GL, Cash, Order Management, Accounting etc
Previous experience with Oracle/SAP ERP implementations
Strong experience in enterprise environment with data management and/or analytics responsibilities
Proven hands-on experience with Functional/Conceptual data modeling in an OLTP/OLAP environment
Prior experience leading a global team of architects and developers in a fast-paced matrix environment
Prior exposure to Big Data technologies like HDFS, Greenplum, Talend etc., high volume data processing and performance optimization in a real-time data environment
Confronts difficult circumstances in creative ways, balances multiple and competing priorities and executes accordingly
Strong interpersonal skills, with ability to professionally interact with a diverse blend of

Senior Data Architect Resume Examples & Samples

Development and maintenance of bank-wide data architecture standards around topics like data modeling, data lineage, golden sources, implementation design patterns & best practices, tooling, etc. in a collaborative exercise with the divisional data architects and subject matter experts. Develop bank-wide adoption frameworks, coordinate the bank-wide adoption of the standards aligned to agreed priorities, and measure progress
Own the data governance meta-model and contribute to the development of data governance operating models. Work with bank-wide data architects, business architecture and CDO / Chief Data Offices groups to further detail operating principles and interactions between central and federated groups towards data governance goals
Coordinate across global SMEs / Subject Matter Experts to identify and resolve strategic data design topics related to bank-wide data management. Contribute to the bank-wide Data Architecture Decision Making and Design Governance and participation in corresponding working groups partnering with the group CDO / Chief Data Office team as well as divisional CDO / Chief Data Offices and Data Architecture teams
Closely liaise with SMEs to support maintenance and enhancement of the enterprise-wide data model and ontology. Manage the banks inventory of data models and help prioritize the book of work for model creation and maintenance. Assist maintaining the authoritative overview of golden sources and help managing the bank-wide mapping of data entities to systems and capabilities. Support bank-wide business and technical lineage solutions and perform vertical traceability between conceptual models and their physical implementations
Collaborate with divisional architecture teams to help manage the ongoing adoption of data architecture standards and best practices. Consult and educate the divisional teams on topics like data modeling, data lineage, traceability between models and other data architecture topics in general to ensure alignment across the bank. Provide data architecture expertise to upcoming and running projects
Extensive commercial experience in a data architecture function with a solid focus on data modeling in banking / finance industry
Hands on experience with Data Modeling tools (ideally Sparx-Enterprise Architect)
Solid experience with physical database design and development
Solid conceptual and strategic thinking combined with enough pragmatism to implement practical solutions
Solid verbal, written and presentation communication skills

Senior Data Architect Resume Examples & Samples

You will play a key role in our Agile based environment as we build, test, deploy and operate our solutions
Monitor and troubleshoot Big Data/NoSQL environments using a variety of open source and proprietary toolset
Manage user and group access to various Big Data/NoSQL resource
Data capacity and node forecasting and planning
Perform operating system, service level, and application updates, patches etc
Evaluate and propose new tools and technologies to meet the needs of the organization
Document configs and upgrade procedures
High level understanding of Big Data frameworks
Knowledge of cloud and hybrid solutions (Azure and Amazon)
Development experience with Big Data/NoSQL platforms, specifically MongoDB
Expert knowledge of SQL and NoSQL tools
Understanding of NoSQL data modeling
Knowledge of how to assess the performance of data solutions, how to diagnose performance problems, and tools used to monitor and tune performance
Eagerness to learn new tools and technologies
Bachelor's degree in Computer Science or related field of study or related experience
Extensive experience with MONGO DB including hands-on, pragmatic working knowledge and coding/query experience
Considerable Database development experience / background
7+ yrs. of DB Experience
Problem solving / troubleshooting experience /skills to assist Production Support in issue resolution
Excellent communication skills (must be able to interface with both technical and business leaders in the organization)
Ability to provide data visualization solutions
Basic ability to work independently and manage one's time
Basic knowledge of computer hardware and software

Senior Data Architect Resume Examples & Samples

Assigned tool administrative functions (backup)
Maintenance of the modeling licenses, tools and additional metadata captured
Customization of models for capturing specific predefined metadata
Creating Business Process, Conceptual, Logical and Physical models for use by projects and governance oversight
Mapping the lineage of data through systems and databases
Utilizing analytical, problem solving skills and gather requirements
Defining Best Practices and Standards for the modeling tools (ERwin & PowerDesigner Suites)
Become deep knowledge experts of data for the enterprise
Developing rapport with customers and third party vendors and serve as a liaison between technical and non-technical individuals/groups
Using modeling tools, database interface tools and Microsoft’s Office suite, including MS Visio
At least 8 years experience with tools, facilities and techniques for managing and administering data
ERwin
MS Visio
Database Interface Tools (i.e. SQL Server Management Studio)
XSD/XML
VBscript/Visual Basic

Senior Data Architect Resume Examples & Samples

Completes assigned technical projects on time (e.g., analysis, designing, development, implementation, testing, monitoring, maintenance, production support, documentation, etc.)
Spends at least 50% of his or her time developing data structures, implementing ETL processes and technology, and developing Database calculations for advanced analytical reporting purposes
Analyzes problems, develops and implements solutions, and makes decisions that significantly impact project(s)
Leads other Technical Support/Support team members in selected project activities. Acts as a subject matter expert
Focuses on optimizing and implementing ETL functions, database structures (indexes, table structures, etc.), and tuning database performance
Proactively monitors and controls all production systems and networks to maximize systems availability
Communicates status effectively with all members of the organization in both technical and non-technical language

Senior Data Architect Resume Examples & Samples

Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management
Work with data team to efficiently use hadoop infrastructure to analyze data, build models, and generate reports/visualizations
Create recommendation models using user’s historical transactions, explain model decisions where necessary, model validation, A/B testing of models
Implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production
BS, MS or PhD in Computer Science/Engineering or Electrical Engineering
Ability to program in one or more scripting languages such as PHP or Python and one or more programming languages such as Java, C++ or C#
Experience in writing optimized MapReduce code
Experience working with large datasets in Hadoop (using scripts and tools - Pig/Hive etc.)
Familiar with machine learning algorithms, including regression, GBM, recommendation systems, neural networks, clustering, etc
Experience working with tabular databases like MySQL
Strong analytic and problem solving capabilities combined with ambition to solve real-world problems
Results-oriented, with the ability to plan and work in a team

Senior Data Architect Resume Examples & Samples

Consult and collaborate to ensure project designs comply with the Enterprise Data Strategy while solving for business requirements. Consult and collaborate in engagements regarding new and existing applications, environments or processes
Design and implement Master Data Management schemas, rules and processes in the life insurance, annuities, retirement and group protection business domain
Design, develop and implement complex data management capabilities within a Cloud computing environment and utilize Big Data platforms & tools
Lead collaboration efforts with development teams to review, update and approve the data portion of project designs, participate in cost/benefit analysis and preparation of project plans
Lead the design, development and delivery data centric IT solutions, including large scale data staging and orchestration, integration and provisioning mechanisms
Modify existing software to correct errors to allow it to adapt to new hardware and improve its performance
5 – 7+ Years Utilizing Oracle, SQL Server, Informatica, including SDLC, legacy integration, batch data processing and distributed scheduling and automation (Required)
1-2+ years of big data implementation or exposure to big data technologies(Hadoop, MPPs etc) preferred #LI-KM11

Senior Data Architect Resume Examples & Samples

Expand the MFGDM through cross organizational collaboration on requirements and customer feedback
Develop access layer dimensional models that provide core business value to the Manufacturing industry, while mapping those models to the MFGDM and extending where needed
Ensure the Manufacturing industry dimensional models and MFGDM remain aligned to key industry standards
Collaborate with team of industry data modelers to develop and maintain unified modules that form the foundation of industry-specific data models
Work collaboratively to contribute to a common set of both dimensional and logical/physical data modeling standards, best practices and design patterns
Support the Teradata Professional Services organization with pre & post-sale support in selling Teradata through the benefits of our Industry data models and data architecture practices
Able to work onsite at client locations as a billable consultant
Support PS delivery teams in understanding and delivering the industry data models within the context of Agile techniques e.g. Scrum, Kanban
Support the development of training materials for deployment of the industry data models
Provide training to PS resources assigned to Manufacturing industry in support of sales and delivery
Support the development of marketing materials in conjunction with the industry data models
Proven ability in logical, physical and dimensional data modeling within a collaborative team environment using erwin Data Modeler and Model Manager applications
Experience taking the Logical Data Model to a Physical Data Model to include indexing, schema generation, pre/post scripts, and de-normalizations where required
Working knowledge of other modeling techniques such as UML and data modeling for NoSQL & Big Data environments
Skilled in agile development using Scrum and Kanban
Demonstrated ability to model from an enterprise perspective
Excellent oral and written communication skills and presentation abilities
Ability to communicate convincingly to both IT and business user communities
Proven ability to lead and mentor others
Ability to work effectively in a virtual environment and perform most functions with minimal supervision or guidance
Proficient in MS Office tool sets and expertise with the erwin data modeling tool. Other modeling tool experience such as ER/Studio and Power Designer a plus
Ability to work in a highly collaborative environment that promotes ideas while balancing objectives
Organized, adaptable, self-starter, highly motivated by challenge, and a team player
Bachelor Degree in Computer Science or Business Administration with emphasis in Information Technology
7 - 12 years of related experience
5 - 10 years industry data modeling experience required
Manufacturing industry experience in CPG, automotive, High Tech, IoT and sensor technolgy
Experience working with Teradata DBMS and associated applications. Experience with Teradata Express, Teradata Studio, and Teradata Tools and Utilities
Strong normal form modeling skills with demonstrated understanding of generalized constructs. Being able to develop a template physical model design based on the industry logical data model
Strong data abstraction skills in translating from business user requirements to logical, physical and semantic data models
Expert in logical, physical and dimensional data modeling skills
Proficient in business concepts and technologies employed by the Manufacturing Industry
Ability to manage multiple priorities while staying on track with product development commitments
Experience with Teradata’s Manufacturing data model
Experience in state-of-the-art data warehousing technologies and Teradata’s UDA, including relational databases, business intelligence and analytical tools, architectural strategies, NoSQL databases, Hadoop, Aster Data and other Big Data analytic environments

Senior Data Architect Resume Examples & Samples

Design and develop overall data architecture in support of business data marts and data lakes
Design, direct and implement ETL processes, including data capture, data quality, and testing / validation methods
Support existing data services and workflows with an eye towards improvement
Collaborate with business leaders and service colleagues to analyze business data requirements and architect accurate, extensible, flexible and logical data models
Utilize best practices and novel thinking to build data models that are loosely coupled and highly cohesive
Identify and resolve performance and/or data quality issues in production
Define enterprise data strategy and standards to improve quality and value of data assets
Create and implement a process to collect and maintain inventory of data assets across enterprise
With an open mind, translate ambiguous requirements into effective sales and marketing solutions
Applies advanced skills to resolve complex problems not covered by existing procedures or practices independently. Displays a high level of critical thinking in bringing successful resolution to high-impact, complex, and/or cross functional problems. Develops project/program plan on very complex projects or programs. Guides strategic projects or programs. Guides project/program management activities (defining scheduling, budget, risk, change, opportunity and resource management activities) for very complex projects or programs. Guides the technical review of system design and documentation. Develops continuous improvement plan
Independently performs advanced areas of work for the professional field
Experience with processing and managing large data sets (multi TB scale)
Applies advanced skills to resolve complex problems not covered by existing procedures or practices independently. Displays a high level of critical thinking in bringing successful resolution to high-impact, complex, and/or cross functional problems
BS/BA in related discipline, or advanced degree, where required, or equivalent combination of education and experience. Certification may be required in some areas. Demonstrates and applies comprehensive knowledge of field of specialization to the successful completion of complex assignments. Demonstrates advanced knowledge of concepts, practices, and procedures of particular area of specialization. Demonstrates significant knowledge of organization’s business practices and issues faced and contributes to problem resolution of those issues
Typically 8-10 years of successful experience in related field and successful demonstration of Key Responsibilities and Knowledge as presented above. Advanced degree MAY be substituted for experience, where applicable
Working knowledge of .NET web application and Microsoft SQL Server Reporting Services
Knowledge of building innovative data management, real-time, and predictive analytic capabilities
Experience in Big Data/NoSQL environments
Experience in identifying scope and estimating work effort
LI-WMC

Think Big Senior Data Architect Resume Examples & Samples

The Senior Data Architect will be responsible for helping customers get started using our Kylo open source framework. Specific responsibilities may include
Implementation leads on a project. End to end data pipeline knowledge including metadata, security, data quality, data modeling, building custom views for applications and BI Tool presentation when needed
Understand how to implement with Kylo and NiFi and aware of upcoming features and roadmap to advise on specific implementation approaches
Work with Principal architect and Delivery lead and with customer’s technical resources to implement solutions
Lead team of Staff or offshore resources for larger scale projects and testing requirements
Recommend and implement integration with third-party systems and network management tools
Analyze complex distributed production deployments, and develop a plan to optimize performance
Hardware and system software design, setup and testing
Installation and testing of Kylo framework
Lead or support Kylo developer training in a classroom setting
Mentor junior engineers, staff and QA both with the customer and internally
Participate in the pre-and post- sales process, helping both the sales and product teams to interpret customers’ requirements

Temporary Senior Data Architect Resume Examples & Samples

Design and maintenance of a metadata repository database that supports storage of enterprise architecture data
Development, maintenance, and publication of the data architecture portion of the enterprise architecture from a metadata repository
Support for the development and delivery of a metadata strategy and solution to help guide data management efforts within the enterprise,
Data mapping efforts to create relationships between the enterprise data architecture tiers and the operational data stores of the organization
Data mapping efforts to create relationships between enterprise data architecture objects and other enterprise, segment, and solution architecture objects (e.g. business processes, performance measures, security standards, etc.) as well as appropriate Federal Enterprise Architecture (FEA) reference model content
Creation of visual artifacts, diagrams of models for publication or presentations, data dictionaries, and data mapping results that convey the business value of the enterprise architecture; and
Creation or maintenance of content for data architecture web pages
Candidate must pass a National Agency Check (NAC) covering the past 5 years to obtain a VA Medium/BI Public Trust clearance
A Bachelor’s degree in Systems Engineering, Computer Science, Electrical Engineering, Mathematics, Information Technology (IT) Management, and 22 years of data architecture and data modeling experience in at least two business domains
Ability to develop conceptual and logical data models in support of various functional areas
Experience in the use of standard conventions for data definition and naming
Knowledge of data modeling techniques such as IE, IDEF1X, and UML
Proficiency using automated tools to develop conceptual and logical data models (e.g., IBM Rational System Architect*, IBM Rational Software Architect, Erwin). IBM Rational System Architect and InQuisient Enterprise Elements are the current tools of choice
Experience analyzing database designs and reverse-engineering physical schemas from databases
Proficiency in SQL and an understanding of relational theory
Experience in modeling data designs that facilitate business and system interoperability using authoritative data sources
Knowledge of data interoperability standards such as XML technologies, EDI, ontologies, and semantics
Proficiency in the use of Microsoft desktop software: Word, PowerPoint, Excel, and Access
Ability to work in a fast paced environment with minimal supervision
Experience with performing systems analysis tasks in support of data modeling efforts
Experience contributing to executive level presentations that clearly and concisely document results of analyses and modeling efforts
Experience in organizational dynamics, change management, project management, or business transformation efforts
Strong business and technical writing skills; specifically, experience in development and composition of strategic plans, client presentations, and related deliverables

Senior Data Architect Resume Examples & Samples

Overall: Lead engagements in the areas of Clinical Data / Early Development architecture and solution strategy in all aspects of the information needs, including roadmaps, Data warehousing, Data Integration, Data Governance, Data Quality, Business Intelligence, and Analytics. Develop strategies and plans that meet the architecture/technology needs of the gRED organization. Incorporate business priorities, strategies, goals, emerging technologies, industry trends, and economic viability. Set medium-term (1-3 year) goals and objectives that enhance the performance of groups and processes
Business Knowledge: Understand the industry marketplace as well as gRED Early Development business processes. Consult with business partners on IT matters that can impact their business
Innovation: Explore wide range of innovation opportunities by challenging conventional thinking and traditional ways of operating. Maintain balance between innovation and pragmatism when determining the application of new ideas
Conceptual Ability: Understand complex problems and create frameworks/models representing their essential components and relationships. Ensure design approaches that include the following: reuse, loose coupling, Usability, Interoperability, Scalability, Adaptability, and Configurability
Leadership: Provide input and leadership for developing and maintaining the Data roadmap for gRED IT solutions, working closely with both enterprise Architects and other gRED Architects on the team. Define success criteria for initiatives and all stakeholders. Make recommendations based on benefits, risks, urgency, etc
Teamwork: Participate in Global Architecture forums as needed and provide input into the gRED IT Roadmap and the Technical Architecture Framework (TAF). Work with cross-functional teams and exhibit creativity and critical thinking in resolving design issues. Mentor and help to develop data talent
Influencing: Gain alignment on strategy/direction by influencing management and colleagues in business and IT groups
Communication: Consider needs/interests of others and adapt communication style for different audiences. Convey unconventional or unpopular perspectives constructively. Suspend opinions and biases in order to actively listen to others’ views
Partnerships: Proactively identify/recommend technology solutions and business process changes that fit customer needs, capabilities and culture. Manage third party technology vendor engagements. Work with senior leadership to analyze their current Enterprise Information Management state and propose point of view from industry trends and experience
Agility: Contribute to implementation of flexible/adaptable solutions to support business strategy and promote cross-functional integration
Delivering Results: Set and accomplish challenging goals and objectives that enhance the performance of groups and processes. Sustain operational performance and anticipate the needs of the organization
Technical Knowledge: Understand components of the IT reference architecture, technology domains/standards, and IT industry trends relevant to gRED. Research new/emerging technologies, processes, methodologies and practices. Evaluate the potential value of technologies/products for use in solutions within the gRED organization. Facilitate the implementation of cross-functional IT solutions. Translate technical concepts into costs and risks to the business and adjust technology strategy and tactical efforts to meet objectives
Define and develop data standards, procedures, guidelines, policies and lifecycles that meet strategic information requirements
Perform data modeling activities. Responsible for conceptual, logical, and physical schemas. Perform throughput and capacity analysis

Senior Data Architect Resume Examples & Samples

Composition of accurate and complete definitions for entities and attributes
Requirements mapping and gap analysis
Semantic transformation specifications
Be be responsible for time estimates for projects delivery efforts, and completion of deliverable within project timelines
5+ years data migration and knowledge of data integration Tools
5+ years of data modelling
5+ years of data integration
5+ years of database design
Understanding of data storage technologies: relational databases/SQL, XML, JSON, etc
Experience processing large structured or unstructured datasets
Knowledge of Hadoop, Spark, Hive or Pig, or other distributed computing platform
Data visualization/infographics: QlikView, JasperSoft, Tableau, etc
Familiarity with common API’s: SOAP, REST

Senior Data Architect Resume Examples & Samples

Facilitate the mapping and auditability of information assets as they flow from upstream legacy, package, or custom development to downstream applications, thus ensuring optimal transparency, quality, consistency and controlled redundancy across the enterprise
Ensure existing data/information assets are identified, stewarded and leveraged across the enterprise
Translate various strategic program requirements into a usable enterprise information architecture, which may include an enterprise data model, associated metadata, common business vocabulary, ontologies and taxonomies
Provide leadership on key technology choices for Enterprise Data Ecosystem including data warehouse, analytical and big data platforms
Manage efforts building consumable data lakes, analytics applications and tools
Work closely with individuals across the technology organizations to help promote awareness of the data architecture and ensure that enterprise assets of competence are leveraged
10+ years’ relevant experience in Technology, IT/IS
7+ years’ experience with relational, multi-dimensional, and analytic database technologies
Experience with “Big Data” technologies, including Hadoop/Hive, formulation of solutions
Extensive experience in architecture, construction, and implementation of data-intensive solutions
Extensive experience with relational database management systems; Teradata, Oracle or SQL Server preferred
Able to establish and meet delivery dates

Senior Data Architect Resume Examples & Samples

Leading work in marketing-related data architecture, data strategy development and direction in our analytic platform as a member of the Analytics and Data Services team
Experience in Marketing and or Ecommerce data architecture approaches and proven leadership working in an analytic platform
Experience in database technologies, MDM technologies, Master Data Management (MDM), Business Intelligence / analytics, data warehousing, IT System integration and Marketing or Ecommerce Information Integration
Experience in requirements definition, mapping and gap analysis
Extensive experience in Marketing, Analytics, and related IT areas as well as with relevant data architecture experience
Advanced to expert level knowledge and understanding of architecture, application design, systems engineering and integration in regards to working within the encompassing Marketing functional disciplines
Strong leadership and collaboration skills

Senior Data Architect Resume Examples & Samples

Strong data modeling skills
Experience with developing taxonomy, terms and definitions and controlled vocabularies
Applicable Bachelor’s degree
Knowledge of national and international standards (including ISO suite of data and metadata related standards 11179 and 8000) Willing to work Washington DC (Metro), Work is full time on the Washington, Navy Yard

Senior Data Architect Resume Examples & Samples

Bachelor’s Degree (or the equivalent in experience) with 10 or more years of experience in Data Modeling/Data Architecture
Good Banking domain knowledge
Good knowledge of SQL/PLSQL for both DDL and DML operations
Knowledge of different patterns for data integration
Experience with following databases: Oracle – 11gr2, SQL server -2008 r2/2012, DB2 on z/OS and LUW
Knowledge of different ETL tools and framework – Data Stage, Informatica, etc
Experience in building 3rd normal form and dimensional data models
Good communication and presentation skills to converse with senior leaders on both the technology and business side
Ability to translate technical details into simple and easy to understand form whether written or verbal
Experience in implementing industry standard models (Fiserv Informent, IBM BDW and Teradata FSLDM) is a plus
Experience in big data technologies – hdfs, hive, pig, sqoop, scala etc. is a plus
Mainframe programming experience is a plus
Experience in COGNOS, Tableau is a plus
Customer and data analytics experience is a plus

Senior Data Architect Resume Examples & Samples

Data Mining, data mapping and ETL process development
Collect and validate the existing data architecture; validates the new data architecture
Bachelor’s or Advanced degree in Computer Science, Computer Engineering or other technical disciplines
8+ year of experience designing and developing data solutions for reporting, transformation or strategic initiatives
Proficient working with Oracle database, Relational Database, Unstructured Data
Experience develop data architectures and data models across multiple COTS systems such as CRM/ERP, Case Management, Document Management, and Reporting/Analytics systems
Experience reviewing and developing object and data models and the metadata repository to structure the data for better management and quicker access

Senior Data Architect Resume Examples & Samples

Data Architects take a lot of information and translate it into a useable blueprint
Work with database administrators and data analysts to ensure they can easily use and access data
Work with management to create databases that will be usable and store the information required, figure out user needs and create solutions so that they can access data, create security plans and measures
Maintain database integrity and plan for natural disasters and cyber-attacks
Lead with industry standards and cloud technology approach to ensure we have solutions that fit the Workday product solutions
Experience in designing Data Warehouse architecture from various data sources such as Salesforce Sales Cloud, Quote-To-Cash, Service Cloud, Marketo, etc
Very comfortable in designing facts, dimensions, snapshots, SCDs for Sales, Marketing, Professional Services etc., while working with Master Data and Reference Data
Experience in any ETL tool and connector(s) to move cloud data easily
Attention to Detail: Databases are complex, and a minute error can cause huge problems
Logical Thinking: Data architects take code and data and turn it into logical patterns, so that it can be analyzed
Problem-Solving Skills: Data architects look at an issue that needs to be solved and come up with solutions quickly
Prior Experience working with AWS, Redshift, Elastic MapReduce, Data Pipline is a big plus
Familiarity with Workday and BI tools such as Tableau, Clickview, OBIEE, crystal ball, SPSS data-mining, text analytics, etc., a plus
8+ years of experience with very large scale data warehouse projects and BS in computer science or 6+ years and a Master’s degree
Experience in working with AWS, Elastic Map Reduce, Redshift, Data Pipeline
Experience created data warehouse design using slowly changing dimensions, facts, snapshots etc
Practical knowledge of database languages, the most common of which is SQL

Senior Data Architect Resume Examples & Samples

Collaborate with business partners, technical partners and representatives from other organizations
Understand and evaluate data requirements, and conform to the enterprise data standards
Help to establish target state objectives
Perform any necessary data mapping and data lineage activities, and document information flows
Support business architects in creation of Target State flows and ensure that they fulfill data requirements
Work with data modelers to ensure that data models align with requirements
Support vision to align data management activities with industry best practices
Minimum of 5+ years of related experience
Multifamily mortgage experience/exposure is a must-have
Strong data management skills including data mapping, data analysis, and reporting
Strong relational database concepts and conceptual data model experience
Strong knowledge of Oracle SQL and MS Access
Ability to understand current state and propose desired Target State

Senior Data Architect Resume Examples & Samples

The production of enterprise architecture data information views (DV-1 and DV- 2) and associated documents as a member of a Government program management office support team
Develop System and Enterprise Architecture (EA) views and supporting artifacts, including Business -Process models and integration of data model content, linking data to processes
Has personally developed DIV-1 and DIV-2 data architecture documents for a significant business system 6 to 10 years of experience in business information systems and data architecture
Knowledge of the DoD Architecture Framework (DODAF) or similar and experience creating DoDAF viewpoints for an enterprise system and making them available for review in a variety of formats
Experience with the IBM Rational System Architect modeling tool or similar
Making DoDAF viewpoints for an enterprise system available for review in a variety of formats, including hyperlinked HTML pages

Senior Data Architect Resume Examples & Samples

Bachelor's degree in Computer Science with Mathematics and Statistics or equivalent subject, Masters preferred
Minimum of 12-18 years of experience in software development
Experienced on Big Data platform like Hadoop, hbase, CouchDB, hive, Pig etc
Familiarity with performance metric tools
5+ years software/technology client facing experience preferred
Experience in architecture/operating solutions build on MS Azure, IBM Cloud, Salesforce, etc. preferred
Open to up to 50% travel when needed

Senior Data Architect Resume Examples & Samples

Setting the strategic direction of the data warehouse and BI systems
Developing and maintaining SQL data warehouse architecture and supervise its optimization
Developing processes to ensure 24/7 system reliability
Manage cooperation with Reporting and Applications teams
ETL management, maintenance and development
Maintaining, documenting and implementing changes to business planning and forecasting systems
Cooperation on design of in the Cognos Business Intelligence system, SQL Server data warehouse and interfaces connecting to other systems

Senior Data Architect, Diit Resume Examples & Samples

Performs senior-level technical responsibilities for the planning, design, and implementation of an enterprise Data Architecture domain to ensure the alignment of total Enterprise Architecture with business strategy, tools, guidelines, principles, policies, and governance
Maintains accountability for establishing the Data Architecture vision and championing efforts to reach that vision. Serves as the in-house expert and authority by defining, implementing, and enforcing all data integration standards and documentation
Leads and conducts regular Data Architecture processes, policies, and vision for the purposes of identifying and implementing improvements
Stays current on and evaluates new and emerging technologies for feasibility and implementation at the DOE
Defines and leads strategic plans, development, and implementation of the Enterprise Data Model and strategy development plans for usage by Operational Data Stores across the DOE
Defines strategies and standards for Business Data Integration
Contributes to developing transparent and well understood enterprise data governance processes, and rules and technologies to support them
Provides extensive expertise in enterprise data and information management methods and standards
Drives the business requirement and associated review sessions into effective data integration, utilizing data expertise and knowledge regarding customer and associated data across the DOE
Promotes data sharing, data consistency, and data reusability across the DOE. Leads and manages the review of data quality deliverables of all phases and enhancements
Collaborates with business units and data owners to successfully implement and maintain a DOE enterprise-level business analytics and data warehousing solution. Identifies and promotes best practices for data modeling within information areas across the Department of Education, providing oversight for all activities related to data cleansing, data quality, and data consolidation, using industry standard data modeling methods and processes
Ensures that operational and analytical data warehouses are able to support all business requirements for business reporting across the organization
Communicates the overall customer data architecture to both technical and business constituencies
Develops guidelines and best practices to ensure data standardization and consistency
Leads the design of data handling and cleansing, and standardization procedures and business transformation rules and logic
A four-year high school diploma or its educational equivalent and six (6) years of satisfactory full-time computer software experience as described in "1"above, including one (1) year in a project leader capacity or as a major contributor on a complex project; or
Education and/or experience equivalent to "1"or "2"above. College education may be substituted for up to two (2) years of the required experience in "2"above on the basis that 60 semester credits from an accredited college is equated to one (1) year of experience. A master’s degree in computer science or a related computer field, or a certificate of at least 625 hours in computer programming from an accredited technical school (post high school), may be substituted for one (1) year of the required experience in "1"or "2"above. However, all candidates must have at least a four-year high school diploma or its educational equivalent and at least one (1) year of satisfactory full-time experience in a project leader capacity or as a major contributor on a complex project

Senior Data Architect Resume Examples & Samples

Define and drive an optimal data architecture that efficiently and effectively presents an integrated view of enterprise data for operational analytics purposes
Define and drive API oriented solutions for data and artificial intelligence services for real-time decisioning applications
Support the implementation of Data Strategy and Spark implementation roadmap
Research and conduct POCs on NextGen Data Platforms (e.g. Hadoop, noSQL, and Graph) as well and streaming data integration solutions
Assist project team to balance the needs of ease of use, query performance, and maintainability of various data stages: data delivery, information delivery, decision modeling, decision making, decision feedback
Develop reference architecture for data intensive decisioning applications and BI applications
Working knowledge of data integration frameworks optimized for Hadoop and Spark
Help to resolve issue with data quality and data ownership
Assist warehouse development managers to oversee full life-cycle data intensive application development effort, from requirement analysis through schema design and from ETL design to BI & Analytics design
Assist Information Architecture team to build out metadata strategy
Must have Data Warehouse and Business Intelligence experience and knowledgeable in various analytical modeling techniques
Experience with various forms of data design, such as OLTP, OLAP, ODS, EDW, data marts, DSS, and Big Data
Experience with multiple data warehousing methodologies and modeling techniques, such as relational, dimensional, hierarchical, and graph
Demonstrate ability to provide technical leadership on large complex data integration projects
Working knowledge of agile development of micro-service, event driven architecture and Lambda architecture
Working knowledge of MPP parallel data processing design, SQL, BI tools, and data management
Working knowledge of Hadoop, Hive, Spark, Cassandra, Teradata and Oracle data platforms
One or more domain knowledge in Financial Services, Credit Card, Direct Banking, and Payment Network business is a plus
Demonstrate ability to balance tactical delivery with strategic vision where necessary to meet business-driven, time-critical objectives. The ability to identify, evaluate, and articulate trade-offs and make recommendations is essential
Must have a willingness to be pragmatic and hands on where necessary to meet objectives

Senior Data Architect Resume Examples & Samples

Lead a Team and be personally involved in
Setting up a Data Governance Framework for a Financial Services and Insurance company
Enterprise data model validation and customization in discussion with different stakeholder groups within the customer
Define Data Ownership and Access rights for different user segments within the organization
Data Quality and Business Rules definition
Making recommendations regards future data standards and data governance
Implementation of the DQ and Business Rules and Migration data mapping within the overall Transformation program
15+ years of experience in data analysis, data modeling processes and techniques
Experience in setting up and executing Data Governance and Data Management programs
Experience in Financial Services Industry – preferably in Insurance
Experience in working with Off the shelf data models
Stakeholder management and team management experience

Senior Data Architect Resume Examples & Samples

Independently resolve highly complex, multi-faceted problems to meet the business needs of the assigned Lines of Business, by applying advanced financial and technological knowledge to the design of methodologies, models, and/or systems solutions. This may involve rapid prototyping, with requirements and solutions, developed on an iterative basis, that provides interim deliverables until a final production solution is created
Manage multi-disciplinary projects to implement solutions to business problems. This involves planning, securing, and scheduling resources, defining business requirements and processes, preparing business case proposals, developing testing, conversion, and implementation strategies, developing detailed project plans, monitoring progress against planned objectives, financial review, and securing consensus and co-operation from users and senior management
Provide business support to all units Globally, including new and existing product and deal structuring, ad hoc queries and MIS, user training, and designing and implementing systems enhancements. This is made more challenging due to differences in time zones and the variation in the business lines
Continually acquire and enhance knowledge of the Division's business strategies and policies, risk management practices and methodologies, product offerings, financial markets, financial instruments, regulatory requirements, Back Office processes, and rapidly changing technology to be able to provide effective business solutions and services to the end user business lines

Senior Data Architect Resume Examples & Samples

Expand and Define the Data Architecture for Columbia Threadneedle, our Asset Management group. This entails working across business and technology groups, maintaining our data warehouse strategies, data consumption principles, BI strategy, and working closely with business partners
Drive the Data Modeling and Enable Data Governance processes across Columbia Threadneedle. Work closely with Business Partners, Architecture peers, project teams, and the broader data architect organization
Enhance BI and Data Warehouse strategies for the Global Asset Management group by advocating for new cloud, big data, and BI patterns
Significant Asset Management data domain and business knowledge
Experience driving global data warehousing architecture solutions. Ability to advocate and influence executives for BI, Big Data, and Data Warehousing strategies
Applied Enterprise Experience with BI, Analytics, and Data Warehousing technologies and best practices, (e.x. Big Data, Hadoop, Apache Casandra, Tableau, SSRS, MapReduce, PowerBI, Watson, NoSQL, predicative analytics)
Ability to Travel between Minneapolis, Boston, and London up to 15% of the time

Senior Data Architect Resume Examples & Samples

Designing and building data-driven solutions, this role is expected to be comfortable with acquiring a variety of programming languages and machine learning techniques. This role is also expected to possess business strategy skills to apply these techniques and build the algorithms necessary to ask the right questions and find the right answers
Applying big data/advanced analytics to identify and exploit insights with positive business impact
Work closely with service and improvement teams to analyze data and identify/answer important questions to assess user experience, quality and performance by defining measures specific to these and other areas
Create key performance indicator (KPI) calculations
Structure data for ingestion into visualization tools
Answer questions by using appropriate statistical techniques on available data
Communicate findings to various levels of management
A BSc, MSc or PhD in a relevant field (mathematics, statistics, computer science, artificial intelligence, machine learning, predictive analytics, data science, natural language processing, computational linguistics or similar)
Cloud architecture and infrastructure: Amazon Web Services (S3, EC2, EMR, etc.)

Senior Data Architect Resume Examples & Samples

This is a brand new role. They have 7 Devs but no true architect
Want someone who can think process thru end to end
How to ingest and process data and then get it out to clients
Experience with cluster management and strategy

Senior Data Architect Resume Examples & Samples

Produces IT strategies, reference architectures and roadmaps within the data architecture domain based on business strategy, business and IT trends, and current and future architectures
Effectively communicate and influence others towards moving to future state architectures
Improve time to market through the identification of re-useable technical assets and incorporating these into enterprise data architecture models and enterprise data architecture standards
Drives in-depth assessment/POC of emerging technologies to validate that the technology and architecture is appropriate for business solution needs
Creates Enterprise data models with focus on conceptual, logical & physical modeling. Focus areas will include conceptual models in Power Designer and logical models that are converted to physical models in Teradata, DB2, Oracle, SQL Server, HANA and Hadoop
Plays data architect role for medium to large scope projects, involving multiple systems
Collaborates closely with peer architects to create, socialize and manage patterns for Business Intelligence, Data Warehousing, and Advanced Analytics
Promote collaboration and deliver quality documentation
Experience as a tech lead or Data architect is required
Proven experience in implementing Data strategies, Data Architecture, Metadata Management or Information Management and Monitoring (Data Quality)
Deep hands-on knowledge of more than one technology platforms/tools - Power designer, Information Management tool-SAP Information Steward, Data Platforms SAP HANA, S/4 as well as open source tools such as Hadoop, MongoDB and Cloudera, and the various tools and technologies offered with AWS (Redshift,S3, etc) as well as graph and object data bases
Ability to provide strong strategic and technical thought leadership to the Enterprise Data Architecture team
Significant experience leading complex data management/Architecture strategies
Experience in the distribution or Healthcare industry and knowledge of their business practices
Experience with involvement in application development, data architecture, system integration,
Ability to provide architecture solutions in the following areas: analysis, design & implementation of logical data models; physical database objects; data conversion, integration, and loading processes; query and reporting functions; data management and governance
Ability to provide architecture solutions in traditional data landscapes & SAP packaged solutions
Exposure to or ability to learn AWS cloud architectures/technologies is required
Ability to handle multiple projects across business domains
Ability to weigh Risk & ROI against Schedule & Budget considerations and provide recommendations
Requires familiarity with multiple development methodologies
Ability/Willingness to mentor junior staff
Proactively develops and maintains technical knowledge in specialized area(s), remaining up-to-date on current trends and best practices

Senior Data Architect Resume Examples & Samples

Based on business requirements, defines data requirements and business rules
Develops database models to meet business requirements (from SME Data)
Using the logical data model (LDM), assists the DBA in developing the physical data model (PDM)
Participates and / or supports gathering, review, interpretation of functional data requirements and translates these into IT technical requirements
Refines requirements as necessary, designs database structures, writes model definitions and metadata, and reviews models for accuracy, adherence to standards, and architectural conformity
Provides problem solving expertise including the formulation and testing of hypothesis, and the complex analysis of data
5 + years experience with distributed BigData NoSQL
1 + year applicable data or object-related work experience demonstrating knowledge of or an aptitude for data or object analysis and data management tools
Demonstrated knowledge of database management systems, data management tools, and structured analysis techniques, principles, and methodologies
Architect and lead significant data initiatives in various data dimensions (e.g. Master Data, Meta Data, Big Data & Analytics, etc.)
Analyze business requirements and build logical data models that describe all the data and relationships between the data
Create data-related documentation (e.g., file descriptions and definitions, entity relationships and attributes, etc.)
Design and facilitate the implementation of data warehouses required by application systems
Post-secondary education in a computer-related field of study, preferred

Senior Data Architect Resume Examples & Samples

2-5 years’ experience in Big Data, data science, machine learning
5+ years’ experience in Database Administration, Design and Development
5+ years’ experience in Data warehouse/mart experience
Cloud – private/hybrid/public, big data, stream analytics experience (cloudera, Hadoop, sparc)
Experience with Open Source and NoSQL technologies at an Enterprise level
Knowledge of Relational Database Design, Dimensional Database Design, Star / Snow-flakes schema
Data modeling experience and data structures knowledge
Experience in designing big data/data warehouse for data integration from enterprise wide applications/systems
Knowledge of efficient bulk processing designs for data acquisition from diverse data sources
Knowledge and understanding of ETL design and data processing mechanisms
Experience with various ingestion patterns for large data sets
Ability to formulate solution to handle a new situation presented related to integrating various disparate systems to Warehouse
Knowledge about data replication, data masking, and performance factors, etc
Ability combine strong analytical and technical skills with the business skills to engage with a wide range of stakeholders
Experience following Agile methodologies
Database specific qualifications or certifications preferred
Familiarity with: C#.NET, Elastic, Angular JS, Node.JS, HTML5, CSS, RESTful Services, Redis are a plus

Senior Data Architect Resume Examples & Samples

Design and manage analytical data infrastructure
Develop, update, and maintain code to meet the changing requirements of the business
Build processes that increase data pull, visualization, and presentation efficiency
Produce visually compelling results that effectively summarize data
Respond to internal client inquiries and troubleshoot any issues with the analytical platform
Ensure best-in-class quality across data sourcing, profiling, standardization, mapping, validation, documentation, and maintenance (including information security and access management, backup and disaster recovery strategies, capacity planning, and application performance tuning)
Plan and execute multiple analytic projects at once
Champion corporate policies and procedures. Ensure compliance with legal and regulatory requirements. Work with management to develop and apply effective risk management processes and controls
Bachelor's degree in Information Technology, Data Sciences, Management Information Systems, Decision Sciences, Engineering, or other similar fields
Minimum of 5 years of related work experience in similar or directly related functions; preferably in financial services, retail, healthcare, telecommunications, entertainment, or other industries with strong direct marketing, digital marketing, and experimental design practices
Experience with dimensional, canonical, relational, logical and physical data modeling
Thorough knowledge of ETL/ELT process design, testing, optimization, and management principles
Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, Teradata, and Hadoop in UNIX based environments
Excellent knowledge of data mining / statistical analysis tools such as SAS or SPSS
Advanced level experience with Microsoft Word, PowerPoint, and Excel
Ability to plan, scope, and provide estimates for work effort, producing quality deliverables on time and on budget
Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
Progressive thinker and problem solver, with a strong ability to manage ambiguity/complexity
Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment
Ability to embrace change, constructively negotiate constraints, and effectively leverage resources to create exceptional outcomes. Consistently model and inspire high levels of professional demeanor and integrity
Strong understanding of data management sciences and total quality management practices such as Six Sigma, and experience creating project documentation, including requirements, functional specifications, test protocols, performance tuning, audits and controls
Strong understanding of data mining models, structures, theories, principles, and practices, including machine learning, statistics and text mining techniques
Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as SAS, SPSS, S, S-PLUS, or R
Strong experience with business intelligence and data mining tools such as BusinessObjects, Microstrategy, Tableau, Qlickview, and SAS Enterprise Guide/Miner
Experience with CRM and Omni-channel marketing management platforms such as IBM/Unica Campaign & Interact, Salesforce, Microsoft Dynamics, Nimble, or SAP
SAS certification (if not present at hiring, we will encourage obtaining Base certification and potentially additional level once on the job)
Fluent in programming languages such as Python, Java, or C++ in a data mining context, and experience building web-based applications using HTML, CSS, Perl, and JavaScript

Senior Data Architect Resume Examples & Samples

Will lead team of Data Architects, coordinate their work activity, and be responsible for mentoring and performance evaluation
Provide technical leadership for Data Architecture team
Facilitate design meetings with subject matter experts to define data requirements and resolve requirement issues
Provide quotes for projects and enhancements upon request
Defines, designs and builds relational and dimensional database schemas
Develop logical (ERD/entity-level) and physical (data diagram/table-level) designs for new projects and ongoing enhancements to those databases
Apply referential integrity constraints to logical and physical models
Analyze and clean incoming data sources
Design and implement complex data cleansing, merging and house holding
Design and implement loads of external files into relational databases
Design and implement database queries, procedures and views
Participate in maintenance of database design standards and common data modules
Maintain, enforce and enhance corporate database design and naming standards
Maintain repository for all database meta-data
Manage personal queue of requests/tickets
Ensure all systems, designs and data loads are adequately documented
7+ years’ experience with relational database design
3+ years IT supervisory experience or equivalent
5+ years’ experience with Oracle RDBMS
5+ years’ experience with back-end database programming (PL/SQL, SQL*Loader, JAVA)
3+ years’ experience with UNIX/Linux/Windows operating systems
3+ years’ experience with database design tools (Designer, ERWIN, etc.)
CDMP Certification is highly desired
Demonstrated understanding of database normalization methods
Data Warehouse design experience is a plus
Experience with SAP Data Services is a plus
Experience with SQL Server, SSIS and T-SQL is a plus
Exposure to data engineering practices and tools (ETL, data cleansing and standardization, merge/purge processing, etc.)
Strong organizational, leadership and communication skills

Senior Data Architect Resume Examples & Samples

Determines database structural requirements by analyzing end user operations, applications, and programming; reviewing objectives with internal and external T-Mobile customers
Develops database solutions by designing proposed system; defining database physical structure and functional capabilities
Installs database systems by developing flowcharts; applying optimum access techniques; coordinating installation actions; documents actions
Provide technical guidelines for design and development of large scale cluster data processing systems
Establish the reference architecture, processes, standards, framework
Review all deliverables for technical completeness and to ensure the performance, flexibility, operability, maintainability and scalability of the proposed technical solution
Provide direct technical evaluation of third party products for inclusion in T-Mobile solutions Help define software development processes
Understands the business processes on Projects Assigned
Translates business requirements into technical requirements and assist other team members in implementing the solution
Data Maintenance
Technical Zeal with strong understanding of software development methodologies
Project Management with strong analytic and problem solving skills
Presenting Technical Information with ability to direct the work of other architects in a lead role
5+ years as software or systems architect, engineer, programmer
3+ years in business environment
LI-TECH-AS1

Senior Data Architect Resume Examples & Samples

Responsible for Data Architecture strategy and working with Data Architects/Modelers to drive architecture roadmaps
Deliver and project analytical work designed to solve key data challenges across the enterprise
Gather requirements from key end-users and translate them into an effective system design, while considering and anticipating organizational impact for Data Management
Recommend and partner with technology teams implement appropriate technical approaches for data management and systems integration
Responsible for identifying different solutions in alignment with business and technology areas - Information Governance, Data Management, Enterprise Data Warehouse, Big data, Cloud and hybrid offerings
Provide expertise to the business areas in delivering architecture, modeling, design, and development of reusable data capabilities across multiple products to enable business insights
Collaborate with key partners in the adoption of emerging standards and technologies
Partner in defining the overall solution architecture, component architecture and in setting technical direction
Work with the Project Managers for specific matters of scope, tasks, and resources to drive the Data Management implementation for ACI
Review work products and oversees Macro and Micro Design components
Help drive the direction and implementation for Master Data Management (MDM) tool adoption
Confirm and Identifies Non-Functional Requirements
Support Data Mapping Phases with proper technical analysis
Define requirements for data matching and merging rules, survivorship criteria and data stewardship workflows using the ACI’s MDM tools
Provide continuing enhancement and review of MDM matching rules, data quality and validation processes

Senior Data Architect Resume Examples & Samples

Strong Solutioning and Data background leading a team of technical, functional, and executive audience
Ability to architect and articulate complex problems
Pre-sales experience supporting technical solutions, writing SOW, and RFP/RFI response
Experience in performing Data analyst roles leading ETL teams
Experience collecting, analyzing and documenting user requirements and closely working with BA on prototyping
Working knowledge on Data governance aspects and operations
Operations support with a SOLID understanding of release, incident, and change management
Strong understanding on QA concepts including Unit testing, regression, and black box
Ability to work on delivering and leading multiple projects leading multiple teams with a penchant to deliver what is in scope at the right time
Utilize analytical, process, and/or technical skills to meet project objectives and deliverables that are self-directed and within project scope
Required Qualifications

Senior Data Architect Resume Examples & Samples

Work as part of a team to design and develop code, scripts, and data pipelines that leverage structured and unstructured data integrated from multiple sources
Develop and implement the technical design and solution
Develop and implement solutions for disparate source data ingestion, transformation, and database loading
Build and Maintain Master Date Dictionary by partnering with all Software Engineering, Data Science, IT Business Applications and Telematics teams
Provide consulting and leadership on data architecture / modeling across OLTP and OLAP solutions
Develop and implement solutions for data quality
Develop and implement solutions to support "Data as a Service (DaaS)" tools and third party applications
Recommend and establish security policies and procedures for the Hadoop environment
Develop and implement various strategic initiatives
Contribute to the development of Architecture Policies, Standards and Governance for the Hadoop, Cassandra, Elastic Search, Spark, Kafka, Akka and other Big Data environments
Lead the data architecture design and review processes, including planning and monitoring efforts, reviewing deliverables, and communicating to management
Influence and advocate for the data ecosystem-how data should be optimized and leverage through the application and analytic platforms
Look to leverage reusable code modules to solve problems across the team, including Data Preparation and Transformation and Data export and synchronization
Design and develop automated test cases that verify solution feasibility and interoperability, to include performance assessments

Senior Data Architect Resume Examples & Samples

Minimum of 5 years data solutions architecture experience with 3 - 5 years of big data or data warehousing architecture
Extensive knowledge of big data and cloud technologies: Hadoop, Hive, Hbase, Spark, Pig, Sqoop, NOSQL, and Oozie
Working with big data cloud platforms such as AWS, Azure or Cloudera
Understanding of JSON or Parquet
Visualization experience preferably with Tableau
Data Warehouse, Data Mart, and Data Lake experience
Familiarity with the Informatica stack
Experience whiteboarding with other technical team members

Senior Data Architect Resume Examples & Samples

Lead efforts around Development, Implementation, and Administration within Big Data platform
Support and direct data quality, and provide guidance including integration pattern and design artifacts on data sourcing, integration, and modeling efforts
Work closely with the Data Modeling, Data Warehouse, Data Integration, and Enterprise Data Management Program groups
Develop database solutions by leading system design, defining database structure and functional capabilities, security, back-up, and recovery specifications
Provide high level technical engineering at the system and/or enterprise level
Act as a subject matter expert and maintain knowledge of current and emerging data management solutions and technology
Strong Software Engineering practices developing enterprise applications – Java, Spring, XML, JDBC/JPA/Hibernate
Hadoop Development and Administration – managing and tuning Hadoop cluster and its ecosystem components (ex: Hive, Pig, Spark, HDFS, HBase, Ooozie, Sqoop, Flume, Zookeeper, Kafka, HAWQ)
Experience in Linux administration, networking and security
5+ years design and development experience in data warehousing and data management
Strong conceptual, relational and dimensional data modeling skills
Ability to translate business needs into technical solutions
Knowledge of business reporting and BI tooling concepts
Contributes beyond job role and responsibilities

Senior Data Architect Resume Examples & Samples

Cloudera (Hortonworks is okay but Cloudera is preferred.)
Must understand high volume, messaging stream based delivery
Must understand the Hadoop ecosystem in a hands on manner & how to guide other clients in the right architectural decisions. ��

Senior Data Architect Resume Examples & Samples

Collaborate with Business Analysts and Product Managers to ensure understanding of business requirements
Design and implement a data model to manage large-volume transaction processing for financial data
Optimize the data implementation for both transactional processing and analytical processing using a combination of relational and non-relational technologies
Deliver data traceability and auditing framework for the platform
Lead performance and scalability design, measurement, and optimization for the data platform
Implement a comprehensive data security model that considers encryption at rest, manages Personally Identifiable Information, and enables role-basedauthentication and authorization for user access
Stay current onindustry standards and new technologies for data management and identify ways to implement them in our product set
Regularly inform senior management on progress of projects, identifying risks early in the process
Demonstrate self-directed and proactive approach to tackling problems and leveraging resources
A minimum of 10 years of progressively responsible experience
Extensive expertise in Microsoft SQL Server, including SSIS, SSAS, SSRS, and database management tools
Experience with non-relational implementations, preferably MongoDB
Proven experience data modeling, both logical and physical
Experience in multidimensional data modeling, such as star schemas, snowflakes, normalized and de-normalized models
Excellent verbal and written communication skills, with strong interpersonal and presentation skills
Experience collecting business requirements and transforming the requirements into logical data models
Familiar with industry leading BI, datawarehouse, and reporting tools
Familiar with Agile-Scrum methodology and practices
Recent experience within the Financial Industry trading systems and accounting systems
Minimum of Bachelor’s Degree ( prefer Computer Science, Engineering, Mathematics)

Senior Data Architect Resume Examples & Samples

Assists in definition of HealthTrust’s information architecture strategy and vision
Guides definition of concepts that establish the Enterprise Data Model
Supports information architecture design and data solutions to solve customers' most complex business and technical issues related to analytics
Leads creation of data models to support transactional, analytic and decision support systems
Facilitates usage of policy and procedures for analyzing information to ensure effectiveness of controls, accuracy of reports, and efficiency and security of operations
Facilitates usage of integrative and canonical views of data or information across multiple content types (structured, semi-structured, XML or unstructured) to support convergence of information asset migration planning or impact analysis
Collaborates and contributes to technology road maps
Understanding and demonstrated success in enterprise level data management, design and architecture required
Experience in design and construction of information architectures that enable well-integrated collaborative analytic systems required
Understanding of common information architecture frameworks, patterns and styles required
Understanding of taxonomies and ontologies and trade-off considerations for applying techniques to various data forms including semi and unstructured data sources required
Understanding of metamodels, relational models, object models, nosql and other representational forms required
Experience in Communicating information architecture and IT strategies required
Experience with multiple techniques and practices of Object-Oriented Analysis and Design, Service Oriented Architecture, Master Data Management, Reference Data Management, Product Development and Enterprise Application Integration patterns, techniques and tools required
Understanding and practice of Domain Driven Design preferred
Familiarity and practice of applying TOGAF or similar framework preferred
Familiarity with Scrum or Kanban agile practices preferred
7+ years
Healthcare IT Experience, Group Purchasing and Supply Chain Experience, Project Management Experience Preferred

Senior Data Architect Resume Examples & Samples

Define vision, goals, and objectives of the enterprise data architecture capability and determine executive needs
Build out high-level Business and Data Architectures (large categories to organize data)
Perform Analysis to define “To-Be” Architecture necessities through collaboration with the HRC CIO and documented HRC mission, vision and goals. Address strategic high- level direction for next 3-5 years
Gather mandates, directives, guidance, and other forms of documentation by the DoD or Army and research industry best practices for modernization initiatives that could affect the direction of the command’s interests
Identify the architecture gaps between the “As-Is” to the “To-Be” architecture and the steps to support creation of a short-, medium- and long-term architecture strategy. Focus on key “pain point” areas first
Jointly responsible with application development teams to drive implementation of data management roadmap
Leads architecture governance activities related to BI and Analytics including participation in data governance board (as required) and Architecture Council (as required)
Provide architecture input to the Architecture Risk Management process
US Citizen who currently holds or has the ability to possess an active Department of Defense Security Clearance (interim Secret minimum – day 1 requirement) – SAIC will process this for the individual
Must have 9 years Data Architecture / Senior Data Base Administrator experience leading complex, enterprise-class, and multi-system integration environments and a Bachelor’s degree or equivalent in Computer Science, Information Systems, and Engineering. Or have a Master’s degree in a related discipline and 7 years’ related experience. Or 4 years’ experience and a PHD or JD. 4 additional years’ experience will be considered in lieu of a Bachelor’s degree
Must have in-depth understanding and hands-on experience with designing and developing enterprise-class application system architectures
Strong working knowledge of database and MDM, warehousing architecture, techniques, design patterns and strategy
Strong understanding of system development life cycle; software project management approaches; and requirements, design and test techniques
Strong application of data modeling and database design; sound in all phases of data modeling from conceptualization to database optimization
Must be a highly effective communicator (both verbal and written) and possess excellent analytical and problem- solving skills
A self-starter, performing day-to-day tasks with minimal supervision but working effectively with immediate and cross- functional team members
CompTIA Security+ Certification required prior to starting position

Senior Data Architect Resume Examples & Samples

Serving as a company representative, work with internal and external customers to help define project objectives, requirements, value adds and constraints
Create and develop functional specifications, in collaboration with others as appropriate
Develop concepts for data processing pipelines, including batch load, microbatch, live connection, and near-real time stream analytics
Develop computing platform architectures that are tuned for low latency and high availability
Perform proof-of-concept studies
Collaborate with senior management to review and select data management options
Lead the SGS development team to build-out, demonstrate and commission new computing platforms. Collaborate with data scientists, data engineers, QA/QC, data governance and project management specialists in a workgroup environment
Ensure efficient development and deployment of new data solutions. Proactively identify risks and gaps. Monitor progress in collaboration with a Professional Project Manager (PMP). Propose pragmatic solutions as problems are identified
Research new technologies and strive to continuously update and improve our analytics and data management systems
Demonstrate concepts by developing code and piloting new applications
Oversee source code control and documentation
Promote team building and innovation
Mentor Data Engineers, providing guidance and resources for their development. Perform spot checks to monitor work quality
Serve as a consultant, internally and for select customer projects
MS in Computer Science, Mathematics or a related field, plus 3 years of relevant experience preferred; or BS in Computer Science, Mathematics or a related field, plus 5 years of relevant experience
Expert level knowledge of Hadoop, including at minimum HDFS, Yarn, Hive, HBase, Oozie
Experience with Spark and Spark data frames preferred
Programming experience with Java and Scala
Proficiency with relational database management systems, SQL
Proficiency with software source control tools such as Git, Mercurial and Subversion
Technical experience with systems networking, databases, Client-Server, and multi-tier applications development desired
Large / enterprise application development experience preferred
Genuine interest in team leadership to achieve larger organizational goals

Senior Data Architect Resume Examples & Samples

Data Guru Jack of All Trades
MySQL, Redshift, Salesforce, Solr
Cloud Platforms like AWS

Senior Data Architect Resume Examples & Samples

Collaborate and partner with business leaders in determining long term roadmap of BI technologies in supporting of their analytic needs
Bring expertise of new technologies, platforms in analytics including traditional Data Warehouse and Data Marts, Big Data, and unstructured data analysis
Experience in implementing Data Virtualization Platforms such as Denodo
High level understanding of Big Data Frameworks and Reporting/Analytic tools like Tableau, Alteryx
Own and lead the overall Master Data Management (MDM) strategy and implementation of MDM technology, data, and processes
Provide leadership in the development processes, solutions, and best practices for the Analytics and Big Data domain by applying technical knowledge and skills
Look for opportunities in the existing platform for a high level of availability and high performance
Analyze and recommend new or different BI technologies, which will enhance current systems and support overall corporate and business goals
Perform requirements gathering, data-model and how to best visualize business data, followed by design, deployment, on-going enhancements and production support
Collaborate with IT Business Applications team to design and build the enterprise data flow from transactional into analytics platform
Excellent interpersonal, team management, facilitation and communication skills; Must be able to communicate effectively at all levels of the client’s organization
Experience with the full Systems Development Life Cycle (SDLC)
Ability to think strategically and relate architectural decisions to business needs
Deep understanding of data warehouse approaches, industry standards, and industry best practices - Extensive experience with very large data repositories (terabyte scale or larger)
Data Architecture 15+years
Data Warehousing: 10+ Years
Data Analytics: 5+ Years
Visualization/Analytic tools: (Tableau or Alteryx or Rapid miner or R): 3-5 Years or 3-4 projects
5+ years Data Architect-Data Warehouse-Microsoft SQL Server-DAMA BOK

Senior Data Architect / Big Data Specialist Resume Examples & Samples

Provide technical leadership to build and implement data and big data solutions
Articulate pros and cons of various technologies, platforms and tools
Demonstrated work experience with distributed, scalable Big Data programming model and technologies such as Hadoop, Hive, Pig, etc
Demonstrated hands-on experience with at-least one of the major Hadoop distributions
Deep technical Expertise in Hadoop eco system components
Experience designing, developing and implementing online-machine learning libraries
Hadoop/Cloud Developer Certification
MongoDB Developer Certification
Experience deploying applications in a cloud environment; ability to architect, design, deploy and manage cloud based Hadoop clusters
Exposure to AWS and Azure based cloud infrastructure
5 years of experience working as a Data Architect
5 years of experience supporting data warehousing and big data (Hadoop) applications
5 years of experience supporting data management frameworks (DAMA BOK)

Ncis Senior Data Architect Resume Examples & Samples

Reverse engineer and analyze new data sources
Design data warehouse tables and objects for incorporation of new data in the Fact/Dimensional reporting schema, following the Kimball method
Develop data definition language (DDL) for database objects
Develop extract, transform, and load (ETL) for data staging and reporting tables
Analyze and optimize generated queries
Monitor scheduled job performance
Manage data migration to include the migration plan, cleansing, transformation and testing
Supports client in formulating policies, procedures, and standards relating to database management, and monitors transaction activity and utilization
Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage
Manages all aspects of end-to-end data processing utilizing customized report building functions of systems
Maintains analytical systems, verifies the accuracy of the data, and acts as liaison with business
Bachelor’s degree or equivalent; additional years of relevant experience may be considered in lieu of degree
Programming languages: HTML, Java Script, Python, etc
Big Data (i.e. Cassandra, Zift, Kibana, Data Visor, Oracle Pl/SQL, etc

100

Senior Data Architect Resume Examples & Samples

Specific in-depth experience in developing and operating data architecture programs based on GAO and OMB guidance
Demonstrates strong knowledge of data Architecture programs (principles, concepts, data map, data dictionary, storage, transition strategies) at multiple Federal government agencies
5+ years of experience in data architecture and data integration working in a direct, client-facing role
Demonstrated experience with DMBOK Framework implementations
U.S. citizenship may be required. Ability to work in the United States indefinitely required

101

Senior Data Architect Resume Examples & Samples

Act as subject matter expert for Big Data Platforms and provide technical leadership to project teams
Design, develop, and deliver large-scale projects to support Big Data ingestion, curation and analytics using an Agile programming approach resulting in software delivered on time and in budget
Monitor performance and advise of any necessary infrastructure changes
Influence technology roadmap
8+ years’ experience in full stack software development, with 4+ years’ experience in a Solution or Technical Architect role designing and developing enterprise solutions
Expert knowledge of architecture, data models, design patterns, and best practices for Big Data implementations (AWS preferred)
Hands-on experience with Hadoop Big Data tools/frameworks, such as Hive, Pig, Spark, HDFS, HBase, Kinesis, or Oozie
Experience with distributions such as Amazon EMR, Cloudera, or Hortonworks
Hands-on experience with SQL RDBMS and NoSQL databases, such as MySQL, PostgreSQL, MongoDB, Cassandra, DynamoDB
DevOps knowledge is a plus
Exposure to API frameworks a plus
Exposure to industry-leading metadata tools such as Atlas or Informatica Metadata a plus
You can bring clarity to chaos and you’re comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs
Autonomous personality. We’ll help guide you, but we won’t micromanage you. We expect integrity and results. Your work and deliverables will speak for themselves
Enjoy challenging and thought provoking work and have a strong desire to learn and progress
Ability to manage multiple tasks and requests
Must demonstrate a positive, team-focused attitude
You listen to the input of your team members and take diverse perspectives into account to approach challenges from multiple angles
Structured, disciplined approach to work, with attention to detail
Flexible – able to meet changing requirements and priorities
Maintenance of up-to-date knowledge in the appropriate technical areas

102

Senior Data Architect Resume Examples & Samples

Actively and consistently support all efforts to simplify and enhance the customer experience
Work with Video Engineering to source data and understand implications of changes in the video delivery plant to existing data sources
Develop and maintain “as built” Business Requirements documents and Technical Requirements documents, describing current feature sets available
Draft modifications to BRD and TRD to support new features requested from various stakeholders
Work with leadership to frame data strategy based on ability to deliver requested features as expressed and inferred from BRDs and TRDs
Work with Analytics team to define and monitor execution of POCs, providing a product viability to stakeholders based on POC results
Work with Data Integration team to define, prioritize, and monitor execution of hardened systems, communicating to stakeholders regularly
Work with Spectrum Reach Product and Solutions teams to teach them about new / changes to data sources and what those new / changed data sources can provide given Spectrum Reach’ current and future product suites
Act as the voice for data in Video Delivery discussions
Ability to read, write, speak and understand English
Ability to abstract from a detailed technical specification and see how that detail can broadly meet or not meet specific needs for which the specification may or may not have been intended
Ability to organize effectively against multiple conflicting demands for your time
Ability to build relationship with senior technical personnel across a large enterprise and leverage those relationships to get information and influence decisions
Ability to interrogate large and complex databases and uncover the structure of such databases with minimal documentation and less handholding
Familiarity with various software development methodologies (e.g. Agile, Waterfall, etc.) and there relative strengths and weaknesses
Familiarity with various programming languages (e.g. C / C++, JAVA, Python, Scala, SQL)
Proficiency at Excel, PowerPoint, Visio

103

Senior Data Architect Resume Examples & Samples

Create a fluid, end-to-end vision for how data will flow through the organization
Implement measures to ensure data accuracy and accessibility
Meld new systems with existing warehouse structures
Develop new tools with a focus on
Taking more data directly from devices
Faster feedback loops
Real-time processing and machine learning
Personalisation
Decision Support
Collaborate with IT teams and management to open up the capabilities of Sky Data Analytics platform to self-service by teams that can influence consumer engagement

104

Senior Data Architect Resume Examples & Samples

Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, Relational Database Service (RDS) and Amazon Redshift
Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged data service offerings
12+ years’ experience of IT platform implementation in a highly technical and analytical role
Current hands-on implementation experience required; individual contributors only need apply
Hands on experience leading large-scale global data warehousing and analytics projects
Implementation and tuning experience specifically using Cloudera, Hortonworks, Amazon Elastic Map Reduce + tools such as Pig, Hive, Impala

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