Enterprise Data Architect Resume Samples

4.5 (113 votes) for Enterprise Data Architect Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the enterprise data architect job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Resume Builder
CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.
USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.
SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Create a Resume in Minutes
MH
M Haley
Maxwell
Haley
10047 Crooks View
Boston
MA
+1 (555) 648 2615
10047 Crooks View
Boston
MA
Phone
p +1 (555) 648 2615
Experience Experience
San Francisco, CA
Enterprise Data Architect
San Francisco, CA
Herman Inc
San Francisco, CA
Enterprise Data Architect
  • Perform the necessary facilitation, analysis and design tasks related to the development of Enterprise Information Management and data architecture
  • Work with our security and information risk management team to govern data more effectively, supporting the development of governance processes and structures
  • Research and monitor data technology trends to provide guidance for strategic change. Make recommendations on the use of emerging data management technology
  • Candidate might have worked as one or more role e.g. Data architect, Data modeler, Data integration developer/architect, ETL developer/architect
  • Establish and manage the metadata management approach for the organization
  • Contribute to the evaluation and development of overall IT strategy and performance
  • Develop and support the maturity and adoption of an Enterprise Information Management program across the organization
New York, NY
IT Development Enterprise Data Architect
New York, NY
Schmeler Group
New York, NY
IT Development Enterprise Data Architect
  • Managing and measuring work
  • Time management
  • Comfort around higher management
  • Process management
  • Conflict management
  • Strong knowledge of software development life cycle
  • Developing direct reports
present
Chicago, IL
Enterprise Data Architect, Principal
Chicago, IL
Funk Inc
present
Chicago, IL
Enterprise Data Architect, Principal
present
  • Provide guidance to business, solution development and operations teams in applying leading and emerging data technologies
  • Provide general guidance to teams on data architecture topics
  • Create, establish and enforce a MDM strategy and architecture
  • Establish and manage metadata, semantic master data on data domains such as products, pricing, parts, customers, contacts, contracts, etc
  • Facilitate data architecture working sessions across solution teams
  • Maintain currency with leading and emerging data technologies including “big data” platforms, NoSQL databases, data streaming, in-memory data management, real-time analytics, cloud data services
  • Collaborate with the various Business, Operations and IT stakeholders to define, establish and run a data governance processes and working groups as part of the overall architecture governance that would fit with current PTC culture
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
University of North Texas
Bachelor’s Degree in Computer Science
Skills Skills
  • Strong analytical skills; ability to analyze raw data, draw conclusions, and develop actionable recommendations
  • Good knowledge of applicable data privacy practices and laws (FERPA)
  • Strong ability to resolve conflicts with the ability to influence and drive consensus
  • Possesses solid financial industry business knowledge as well as knowledge of major data consumption use cases in financial services
  • Strong knowledge of Data Governance, Data Quality, Data Lifecycle Management and Privacy Principles
  • Is knowledgeable and experienced in supporting / working with the DevSecOps paradigm
  • Excellent verbal and written communication skills, with good senior-level stakeholder management soft skills and competencies
  • Our total compensation approach includes a competitive base salary, 401(k), strong work/family programs, and medical, dental and disability coverage
  • Organized, detail-oriented, QUALITY-focused
  • Excellent relationship building skills; ability to interface with a variety of stakeholders
Create a Resume in Minutes

15 Enterprise Data Architect resume templates

1

Enterprise Data Architect Resume Examples & Samples

  • Exhibits solid knowledge of data architecture concepts and practices
  • Possesses a university degree/college diploma in related discipline(s) and/or 8 to 10 years’ experience in the IT industry
  • Possesses solid financial industry business knowledge and expertise in some aspects of data architecture
  • Demonstrates solid knowledge of major regulatory frameworks related to risk data aggregation (e.g. BCBS239)
  • Demonstrates solid knowledge of architecture frameworks, methodologies, and tools. (e.g., possesses The Open Group Architecture Framework [TOGAF] accreditation)
  • Possesses solid knowledge of Data Architecture Maturity Evaluation concepts and metrics (e.g., ACMM)
  • Possesses solid communication skills, both written and oral
  • Is energetic, personable, and achievement- and outcome-oriented
2

Senior Enterprise Data Architect Resume Examples & Samples

  • Knowledge of industry and customer's data standards and architectures
  • Thorough knowledge of design and integration principles for complex, heterogeneous databases
  • Ability to effectively diagnose, isolate, and resolve complex problems pertaining to data infrastructure
  • Experience with integration of metadata management, master data management, and data quality/governance functionality
  • Ability to maintain currency on tools, methodologies, and technologies
  • Ability to translate complex technical terminology, concepts and issues in terms understandable to technical and non-technical management and resources staff
  • Excellent analytical skills, problem solving skills and and strong attention to detail
  • Experience developing and supporting Enterprise Data Warehouses
  • Prior experience with Business Intelligence reporting platforms required - (Cognos BI and TM1 a plus)
  • Solid understanding of the project management, development lifecycle, including data modeling, dimensional and relational modeling, requirements analysis, ETL, and report creation and delivery
  • Masters degree in Computer Science, Computer Applications, Information Systems or related work experience
  • 7+ years of experience in Data Warehousing
  • Expertise with Big Data & Cloud Ecosystem like Amazon Web Services
  • Experience in Media & Entertainment is preferred
3

Enterprise Data Architect Resume Examples & Samples

  • Interprets business strategy and develops organizational objectives to align with this strategy. Typically manages multiple teams of professionals
  • Worked across technical and business team in order to harmonization data asset
  • Experiences solution architect to design, develop and implement ODS, EDW, Data Integration Layer etc
  • Knowledge in data warehousing methodologies and best practices required
  • Strong verbal and written communication skills required
  • Effective interpersonal relations skills, ability to effectively collaborate with others and work as part of a team required
  • Excellent organizational and time management skills required
  • Works independently, assumes responsibility for job development and training, researches and resolves questions and problems, requests supervisor input and keeps supervisor informed required
  • Punctual, regular, and consistent attendance
  • Advanced Degree in technical discipline and/or management required
  • 10+ year of experience with data integration, Data Warehouse and ETL Architecture
  • Experience with Teradata and Hadoop Ecosystems
  • 5 + year of experience working as data integration, data solution architect EDW, ODS, ETL architect or similar role required
  • Five to seven years' experience leading data integration, Development of ETL architecture using Linux, Informatica, Teradata, SQL, BTEQ, Hadoop Hive, Pig, Flume, Sqoop, and UC4
  • Experience working as solution architect supporting Platform as Service Organization
  • Requires understanding of complete SDLC and Experience with continuous integration, test-driven/behavior-driven development, and agile, scrum development methodologies
  • Experience collaborating and partner with technical and business team to present, define, strategies, requirement, road-map, budget, solution
  • Experience presenting strategies, road-map and gap analysis, for technology and business solution up-to VP level
  • Experience designing logical and physical architectures
  • Ability to work effectively across organizational boundaries
  • Experience with mange service and on-shore and off-shore development experience is must
  • Hadoop, Teradata, TOGAF Certified
4

Enterprise Data Architect Resume Examples & Samples

  • Understanding of Company’s information strategy
  • Lead design sessions with subject matter experts to define data requirements and resolve requirements issues
  • Create scalable, flexible and complex Models (Conceptual, logical and physical) that support business requirements
  • Contribute to support existing and new Guidelines, Standards and Procedures for compliance
  • Work with and support multiple projects concurrently
  • Work collaboratively as a team member
  • Communicate with peers and all levels of management
  • 4+ years of Data Modeling experience
  • 4+ year of Transactional and Analytical Analysis
  • 4+ year of experience with data modeling tools
  • Bachelor’s Degree in Computer Science (or related field)
  • Expertise in Transactional and Analytical design
  • Expertise in Data Modeling techniques
  • Ability to facilitate design sessions with subject matter experts to define data requirements and resolve requirements issues
  • Experience in working with large models using metadata repository
  • Experience designing large databases supporting complex business requirements
  • Should be capable of successfully supporting multiple projects concurrently
  • Ability to work as a member of a team and with all levels of management
  • Should have outstanding speaking, listening, reading and writing skills
  • Automotive experience
  • Experience using the SAP PowerDesigner Data Modeling Tool
  • Experience using SQL Server, Hadoop, Hive, Hbase, Oracle, DB2 and Teradata
  • Experience with Cloud and Replicated database technologies
5

Enterprise Data Architect Resume Examples & Samples

  • Lead Data Architecture working sessions with appropriate stakeholders across the organization to create enterprise conceptual and canonical models. Ensure these models are kept current, are approved, are fit for purpose, and evangelized across the organization
  • Leverage thorough understanding of business process and system processes to make recommendations and propose technical/non-technical solutions to meet business requirements. Work with the Application Development team to implement data strategies and build data flows
  • Support TCF’s Data Governance practice through development of a set of Data Architecture / Data Management standards. Ensure standards are current, approved, fit for purpose, and evangelized across the organization,
  • Provide technical and strategic leadership in all Data Architecture subject areas. Improve TCF’s Architecture practice and modernize Data Management capabilities. Support project architects, enterprise architects, and solution architects across the organization for Data Management and Data Architecture capabilities. Provide guidance where appropriate
  • Perform software analysis, code analysis, requirements analysis, software review, system risk analysis, software reliability analysis, capacity planning, etc
  • Champion common data definitions and data protection and security
  • Monitor, assess, and understand data management capability developments and identify opportunities for TCF architectural modernization
  • Bachelor’s degree in Information Systems or Computer Science or two year degree with equivalent experience
  • 10+ years of experience of Data Architecture and Management Services that includes architectural oversight and strategic data architectural planning at the enterprise level
  • 5+ years hands on architectural and leadership experience in design and deployment of data management solutions (data modeling, database design, data warehouse, middleware, enterprise services, operational data stores, MDM, data quality tools, application development, front-end data collection, identity/access management, and governance mechanisms) within a large enterprise environment
  • Expert experience in architectural design and modeling
  • Strong experience in solution design and validation, including capacity planning and testing
  • Proven ability to assess organizational need and design appropriate data management solutions
  • Demonstrated experience with agile or other rapid application development methods
  • Ability to lead implementation of CI/CD methodologies and deploy appropriate toolsets (i.e. Jenkins, Artifactory, GitHub etc)
  • Demonstrated ability to teach/mentor others
  • Proven organizational, interpersonal, analytical and problem solving skills
  • Excellent relationship building skills; ability to interface with a variety of stakeholders
  • Strong knowledge of Data Governance, Data Quality, Data Lifecycle Management and Privacy Principles
6

Enterprise Data Architect Resume Examples & Samples

  • Supports the organisation, enabling the use of data to meet business outcomes, in an adaptive way
  • Supports decision making, delivering a future-state view unconstrained by proprietary solutions or technologies and
  • Protects our Brand and organisation through proper classification of our information assets, taking account of relevant privacy and regulatory requirements
  • Producing, evolving and refining the enterprise data architecture for Burberry
  • Establishing a target architecture and roadmap, developing this as business evolves, using capability models to support an information-centric view
  • Driving the overall technical and product strategy for the current and any future states of the data roadmap, helping to prioritise what matters most to the organisation
  • Helping to define and agree information principles as they relate to the enterprise data architecture
  • Enabling the data and information management team to rationalise their data sources and repositories, reducing TCO
  • Engaging risk management functions to ensure that any exceptions are appropriately managed
  • Creating and managing data models in all their forms, including conceptual and logical forms
  • Work with our security and information risk management team to govern data more effectively, supporting the development of governance processes and structures
  • Ensuring that delivery projects plan for all required data governance, reviews, sign-offs and checkpoints
  • Engaging and working with suppliers and partners in order to define the best possible solution and the most appropriate deployment of their technology and products
  • Identifying and exploiting the re-use of any components, patterns or techniques and documenting these for re-use by delivery projects, ensuring that projects do not duplicate functionality or diverge from each other and business and IT strategies
  • Ensure that operational and supportability guidelines are factored into the construction of any solution - this will include liaison with the relevant live service and service management teams to ensure that they understand the implications of the data design
7

Enterprise Data Architect Resume Examples & Samples

  • Defines and achieves the strategy roadmap for the enterprise; including data modeling, implementation and data management for our enterprise data warehouse and advanced data analytics systems
  • Responsibilities will include setting the vision, gathering requirements, gaining business consensus, performing vendor and product evaluations, mentoring business and development resources, deliver solutions, training and documentation
  • Proven track record to drive rapid prototyping and design for new projects and analytic R&D environments
  • Ability to translate broader business initiatives into clear team objectives and concrete individual goals, aligning appropriately with other groups for efficient, coordinated action
  • Draws conclusions and effectively communicates findings with both technical and non-technical team members, providing active leadership skills across project team and business community
  • Experience in and understanding of a wide variety of analytical processes (governance, measurement, information security, etc.)
  • A solid understanding of key BI trends
8

Enterprise Data Architect Resume Examples & Samples

  • Delivers an information architecture that supports an efficient delivery, drives lower total cost, and develops strategies for securing the data environment
  • Defines the data governance, security and functional specification
  • Analyzes across multiple data domains and defines strategies to reduce data redundancy, improve data availability, and accessibility by partnering with the technical teams and deliver a maintainable and reusable data architecture
  • Analyzes data attributes from multiple systems and develop Common Information Models
  • Governs data decisions related to data model design, data access patterns, and data services
  • Develops standards for naming, describing, governing, managing, modeling, storing, cleansing, transforming, accessing and delivering GCP data to internal, external and SaaS Application Systems
  • Maintains the end-to-end vision of the data flow diagram and develop logical data models into one or more physical Databases
  • Designs and develops Databases, Data Warehouses and Multidimensional Databases
  • Acts as a liaison between technical development teams and the DBA's
  • Maintains GCP's data models and develop strategies for data acquisition, archival, recovery, and implementation of Database
  • Bachelors Degree required in computer science, information systems or computer engineering. Masters Degree preferred
  • 5+ years’ experience working as a data or information architect
  • Deep knowledge of database technology capabilities, tools, and design patterns
  • Prior experience modeling in Finance & Billing, HR, Sales, Legal, Marketing data domains
  • Hands-on experience with data architecting, data mining, data modeling and business requirements gathering/analysis
  • Must have implemented enterprise data management processes and procedures
  • Skilled understanding of relational data structures, theories, principles and practices
  • Excellent metadata management skills and associated processes
  • Knowledge of enterprise repository tools, data modeling tools, data mapping tools and data profiling tools
  • Experience in developing detailed requirements for product evaluations and assigning weightages
  • Demonstrated expertise with repository creation and data life cycle methodologies
  • Experience with business requirements analysis, entity relationship planning, database design and reporting structures
  • Experience designing data service
  • Must be able to translate business needs into data architecture requirements
  • Experience in estimating complexity of Data solutions and estimation of effort
9

Enterprise Data Architect Resume Examples & Samples

  • Bachelor’s Degree in Computer Science or a STEM (Science, Technology, Engineering and Math)
  • Minimum of 8 years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated
  • Minimum of 8 years of experience in logical & physical Database design, performance monitoring and tuning
  • Proven ability to translate broader business initiatives into clear team objectives and concrete individual goals, aligning appropriately with other groups for efficient, coordinated action
  • Demonstrated experience in multidimensional data modeling, such as star schemas, normalized and de-normalized models, handling “slow-changing” dimensions / attributes
  • Demonstrated experience in integrating structured, semi-structured and unstructured components
  • Knowledge of backup, recovery, and security procedures for relational databases
  • Proven skills to work effectively across internal functional areas in ambiguous situations building using negotiation and consensus building skills
  • Extensive experience providing practical direction on information and analytics platforms in conjunction with Data Warehousing tools and technologies
  • Deep technical knowledge in data principles, BI / Analytics, & Master Data Management
10

Enterprise Data Architect Resume Examples & Samples

  • Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity
  • Ensure the success of enterprise-level application rollouts (e.g., P20 data warehouse, Common Core standards, PARCC etc.) from the data architecture, standards, and quality perspective
  • Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality
  • Collaborate with project managers and business unit leaders for all projects involving enterprise data
  • Act as a leader and advocate of data management, including coaching, training, and career development to staff
  • Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture
  • Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture
  • Identify and develop opportunities for data reuse, migration, or retirement
  • Analyze and mine business data to identify patterns and correlations among the various data points
  • Develop integration process data flows and data mapping analyses
  • Bachelor’s Degree in Computer Science, Information Systems or Business Administration
  • 7or more years of data or information architecture experience, preferably in a education environment
  • 5 years of work experience with data architecting, large-scale data modeling, and business requirements gathering/analysis
  • Strong understanding of relational, dimensional and object-oriented data structures, theories, principles, and practices
  • Strong familiarity with master data and metadata management and associated processes
  • Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping, tools, data profiling tools, and data and information system life cycle methodologies
  • Experience with Oracle ODI, Oracle Profiling and data quality
  • Good knowledge of applicable data privacy practices and laws (FERPA)
  • Technical leadership and mentoring skills
  • Experience with dimensional modeling and architecture experience implementing proper data structures for analytical reporting from an enterprise data warehouse
11

Enterprise Data Architect Resume Examples & Samples

  • Review and assess development design to ensure robustness, adherence to standards and processes, delivery of stable and scalable solutions, and that risk mitigation and controls are in place
  • Collaborate with teams concerned with development, networking and/or project management to coordinate changes and support enterprise technology initiatives
  • Identify core common data shared across the enterprise and participate in enterprise wide efforts to reach common understanding of those data
  • Confer with business units and application development staff to understand both the business and technical requirements and to define architectural constraints
  • 4-6 years of experience with solution architecture and solution experience across multiple architecture domains such as business, data, integration, and application
  • 4-6 years of experience with data integration patterns and integration of data & business architectures
  • 3+ years of experience in business process design, business events derivation and associated data objects and entity modeling
  • 3+ years of hands-on experience in enterprise data architecture strategy, methodology and standards that delivers enterprise data model, associated meta model, common business vocabulary and taxonomies
  • Hands on experience in applying future state data architecture/design concepts such as Data Lake and Big Data
  • Exposure to large-scale/enterprise-level data centric projects is a must
  • Good understanding of data modeling across relational, star/dimensional or other emerging approaches
  • In-depth understanding of RDBMS systems and Database Appliances (such as Oracle)
12

Connected Services Enterprise Data Architect Resume Examples & Samples

  • Bachelor's degree in Computer Science, Computer Engineering or Electrical Engineering from an accredited university or college
  • Possess an understanding of connected vehicle functions, interfaces, technologies, development tools and processes, operations, and business strategies and models
  • Plan and have the ability to communicate technical matters with passion and conviction about the short and long term objectives of the Global Uconnect architecture
  • Must be comfortable and capable to communicate "up, down, and across" all functions, roles, and levels within and outside of the Uconnect service delivery team
  • Be proficient in data driven decision processes and have knowledge of measurement techniques such as machine learning, statistics, design of experiments, DFMEA, PFMEA, etc
  • Proficiency in process modeling, process ownership, and process documentation to enable continuous improvement in efficiency and speed to market of the Global Uconnect architecture
13

Enterprise Data Architect Resume Examples & Samples

  • Participates and leads the creation and maintenance of data models
  • Leads proof of concept evaluations, vendor and product selection for data management technologies
  • Participates and leads the creation Big Data and Predictive Analytics strategy and governance
  • At least 10 years of progressively responsible job-related experience, with minimum of 6 years related to data management
  • At least 3 years experience with SAP HANA modeling
  • At least 5 years experience with SAP source systems
  • Bachelor's degree or equivalent experience, Master preferred
  • Demonstrated experience in design and implementation of an enterprise data model, metadata solution and data management solution
  • Strong leadership, communication and influencing skills
  • Prior exposure to data modeling tools like Erwin/Power Designer
  • Expertise with Cloud vendors like Azure or AWS
  • Expertise in Data Integration patterns
  • Have sound knowledge of semiconductor manufacturing industry domain is a strong plus
14

Enterprise Data Architect Resume Examples & Samples

  • Develops specific metrics for data quality and consistency
  • Minimum of Bachelor’s Degree (Computer Science, Mathematics, Statistics)
  • Proven strong negotiating and consensus building abilities
15

Principal Enterprise Data Architect Information Technology Resume Examples & Samples

  • Leading work in enterprise data architecture, data strategy development and direction
  • Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, Systems Analysis or a related field. Or equivalent work experience
  • Broad system-level expertise across multiple computing platforms and technologies with the ability to influence technology strategy direction at the enterprise level, with emphasis in data and information architecture
  • Designing and recommending governance structures and control frameworks for ongoing data and information management; analyzing project, program and portfolio needs; balancing short-term results with long-term needs and the ability to offer incremental approaches to achieve strategic objectives
  • Understanding of common information architecture frameworks and information models including The Open Group Architecture Framework (TOGAF), information maturity model, Information as a Service (IaaS) and Service Oriented Architecture (SOA)
16

Enterprise Data Architect Resume Examples & Samples

  • At least 6yrs experience as a Data Architect, in a large enterprise environment
  • Excellent and proven DBMS knowledge
  • Ability to translate high level business concepts into data flow diagrams
  • Manage other technical staff engaged in development technologies and decisions
  • Serve as lead to define/maintain architectural frameworks/patterns, processes, standards, and guidelines, specifically around data
  • Communicate architecture decisions & share implications on architecture work to the stakeholders
  • Provide expertise to internal and external clients, including communicating architectural decisions
  • Review and assess proposed or current projects for adherence to architecture standards
  • Expertise working with Enterprise Data Warehouse and Data Marts
  • Experience delivering data marts using the Kimball methodology (Star Schema)
  • Experience building data warehouses using the Inmon’s Corporate Information factory model
  • Experience with data analysis (SQL), data profiling, and data mapping
  • Experience maintaining and coordinating a data integration effort in an Agile SDLC environment
  • Assist developers, ETL, BI team and end users to understand data model
  • Experience with managing meta data for the data model
  • Able to evaluate existing data models and physical databases for variances and discrepancies
  • Leverage and enforce standards for data naming conventions
  • Able to ensure consistency and reuse of data models
  • Understand order and precedence of data loads and functional testing schedule
  • Experience with Embarcadero ER/Studio or Erwin
  • LI-RP1
17

Enterprise Data Architect Resume Examples & Samples

  • Collaborate with business, application, solution, and technical architects to understand the implications of respective architectures on data architecture and to maximize the value of information across the organization
  • Drive standardization and simplification across the enterprise, lowering cost, improving quality and value of data assets
  • Define enterprise architectures for Data Warehouse, Master Data/Reference Data, integration for data and transaction processing
  • Participate in the definition of standard enterprise data management and enterprise data architecture processes and deliverables
  • Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance to industry best practices model(s)
  • Assist in maintaining the assessment and inventory of the existing enterprise-level data environment
  • Develops data dictionary for use by internal bank business partners
  • Designs strategy for archiving
  • Demonstrates compliance with all bank regulations for assigned job function and applies to designated job responsibilities – knowledge may be gained through coursework and on-the-job training. Keeps up to date on regulation changes. Follows all Bank policies and procedures, compliance regulations, and completes all required annual required or job-specific training. Follows all Bank policies and procedures and compliance regulations, and completes all required annual required or job-specific training. May be asked to coach, mentor, or train others and teach coursework as subject matter expert. Actively learns, demonstrates, and fosters the Umpqua corporate culture in all actions and words. Takes personal initiative and is a positive example for others to emulate. Embraces our vision to become "The World's Greatest Bank."
  • Bachelor’s degree in computer science, information systems or engineering or equivalent technology domain experience
  • 7+ years of experience in designing/leading the conceptual, logical and physical design for distributed databases (OLAP, OLTP)
  • 3+ years of experience in driving the Meta data architecture and master data management (MDM) solutions
  • 4+ years of experience in performing analysis and high-level design for data management projects
  • Experience with SQL Server, SSIS, Cognos, Embarcaderos ER Studio, Toad, data profiling analysis and migrations, Metadata Repositories, Microsoft Office Suite
  • Strong understanding of activities within primary discipline such as master Data management (MDM) and Data Governance (DG)
  • Consistently demonstrate strong experience in Conceptual, Logical, and Physical Database architectures, design patterns, best practices, and programming techniques around relational modeling, dimensional modeling and data integration
18

Enterprise Data Architect Resume Examples & Samples

  • Contribute significantly to enterprise data architecture strategy, vision, roadmap, and standards to meet business objectives
  • Analyze and document the current data architecture state, be a major contributor to the desired future state and create roadmaps to bridge the gaps, along with the rest of the architecture team
  • Actively improve efficiency of data distribution and integration, according to a unified data management strategy
  • Research and monitor data technology trends to provide guidance for strategic change. Make recommendations on the use of emerging data management technology
  • Consult with other architects and project team members define and validate data architectures across a wide variety of projects and systems
  • Create, maintain, and publish enterprise reference data architectures with appropriate level of detail
  • Develop standard patterns and practices that encompass technology selection and adoption, data architecture, data management and data distribution, to be advocated by the architecture team
  • Asses risk and opportunities for improvement in the landscape, and make concrete recommendations for implementation
  • Document the data ecosystem including: existing systems, platforms and solutions
  • Participate as a key member of the Architecture Team
  • Review project technical planning, data solution design, and data practices for alignment with standard practices and long-term strategy
19

Enterprise Data Architect Resume Examples & Samples

  • Demonstrated ability to conceive and execute end-to-end vision, and to see how a logical learning analytics design will translate into one or more physical databases, and how the data will flow through the successive stages of stakeholder access
  • Evidence of skill in problem solving with the ability to apply strong critical and logical analysis to business scenarios in the context of technology and data architecture
  • Experience in performing complex analysis of customer data using company provided tools and systems
  • Evidence of effective verbal and written communication skills and the ability to clearly articulate to all project members and stakeholders
  • Demonstrated ability to work well with technical and non-technical resources
  • Demonstrated ability to stimulate changes in individual, institutional, and corporate behaviors to create a more sustainable environment
  • Experience in leading by example in communicating, participating and encouraging support of the institution’s sustainability programs
  • Experience in SQL, Data Modeling, PowerCenter, Erwin, UML, PL/SQL, Oracle DBA, XML, XML Schema, XSD, XSLT/XPath
  • Demonstrated understanding of Business Intelligence solutions
20

Enterprise Data Architect Resume Examples & Samples

  • Collaborate with senior leadership to develop and execute enterprise data strategy, including the architecture and development of master and reference data management capabilities
  • Provide architectural leadership in shaping strategic, business technology projects, with an emphasis on application architecture. Utilize domain knowledge and application portfolio knowledge to play a key role in defining the future state of large, business technology programs and solutions
  • Ensure data quality and drive improvements to data management processes, data storage, data consumption and data security to better meet the needs of the business and customers
  • Assess current data needs, its architecture and tools, and propose plans for improvements to support business growth in the most optimal way
  • Leverage past experience with “big data” to research, publish and manage data modeling and governance frameworks, technology & technical approaches, proofs of concept, complex design issues, and technical challenges across projects, all with regard to enterprise data
  • Drive data virtualization initiatives and determine appropriate delivery mechanisms to support data mining and gathering of customer insights
  • Partner with product development teams to define and design data architecture solutions
  • Define reference and implementation architectures
  • Monitor application implementation activity to ensure architecture and design principles are upheld
  • Function as a technological evangelist, discovering, facilitating discussion, and introducing new ideas, technologies, data usage, etc. to the business, resulting in new product ideas and influencing software development activities
  • Participate in governance team discussions and provide a strong voice on critical decisions
  • Maintain formalized organizational data architecture, roadmap, and best practices
  • Monitor, measure and report on enterprise data architecture adoption, issues, opportunities, risks and plans
  • Liaise with other functional / departmental leaders to ensure they are fully informed of objectives, purposes and achievements of enterprise data architecture
  • Contribute to the evaluation and development of overall IT strategy and performance
  • Ensure activities meet with and integrate with organizational requirements for quality management, health and safety, legal stipulations, environmental policies and general duty of care
  • Bachelor’s degree in Computer Science, Engineering, or related field
  • A minimum of 6 years of experience in Database Design, Data Modeling of complex data stores
  • A minimum of 6 years of hands-on database programming
  • A minimum of 5 years of development DBA experience
  • Strong knowledge of data warehousing concepts and data-marts
  • Knowledge of ETL technologies and tools
  • Knowledge of to various reporting technologies
  • Experience in leading offshore teams
21

Enterprise Data Architect Resume Examples & Samples

  • Leads definition & development of enterprise data architecture concepts and standards leveraging advanced data technologies and participates in the development of governance processes around technology and business aspects of the Enterprise Data Architecture framework
  • Provides guidance and counsel to project teams to ensure that their processes and deliverables align with the BMO target state architecture
  • Contributes to the definition, implementation and execution of the internal independent architecture validation framework across all risk type areas and the application of the framework to optimize the enterprise’s data architecture
  • Provides effective challenge within the internal independent architecture validation process and other relevant enterprise data governance areas
  • Researches/monitors industry activities to keep abreast of relevant data technologies and recommends technology direction to the Enterprise Data Architecture leadership team regarding the feasibility and applicability of such technologies within the enterprise’s environment
  • Leads identification of data architecture opportunities for a broad, diverse, and complex set of business functions and processes, and recommends the capitalization of these technology opportunities to the Enterprise Data Architecture leadership team in order to benefit the Enterprise
  • Develops and maintains strong working relationships with peers across the T&O and business partners organization in order to ensure adherence to BMO Data Architecture standards
  • Possesses solid financial industry business knowledge as well as knowledge of major data consumption use cases in financial services
  • Strong expertise in data architecture best practices
22

Enterprise Data Architect Resume Examples & Samples

  • Expert understanding of Data Architecture and Design
  • Advanced knowledge of database concepts both relational and non-relational
  • Experience with Metadata management
  • Experience in Data Analysis and Data Migration Tools
  • Participates in managing the Enterprise Data Model, including data dictionary/metadata registry
  • Evaluates new data sources for adherence to the organization's quality standards and ease of integration
  • Demonstrates expertise in a variety of database, ETL, and application concepts, practices, and procedures
  • Develop and maintain documentation of the overall data architecture, data flows and data models
  • Provides project requirements and time estimates
  • Provides direction on adoption of new technologies / best industry practices in data architecture and modeling
  • Experience in both high level conceptual design and implementation through the initial phases of the project
  • BS/MS in Computer Science or related field or equivalent combination of education and experience in the field
  • Minimum of 10 years combined experience as a Data Architect and in other database related roles
  • Advanced knowledge of database concepts, including SQL, Stored Procedures, Triggers, Indexes, Partitioning, Full Text, and tools for SQL Server 2000/2008/2012
  • Understands software development lifecycle principals
  • Experience designing and implementing at least one project on Hadoop or similar big data systems
23

Enterprise Data Architect Resume Examples & Samples

  • Work closely with the Chief Data Officer (CDO) and other key stakeholders within the business and CIO function to create the DLG Data and Master Data Management (MDM) Strategies, Roadmap and Strategy Execution Plan (SEP), and the modelling and maintenance of the data strategy and roadmap in the selected EA tool and Enterprise Continuum
  • Work with stakeholders to understand the business case for change and success factors
  • Work closely with the CDO and other key stakeholders to create, publish and maintain the requisite data architecture guidance and measures, such as standards / modelling standards; policies; principles; guidance notes
  • Work closely with the Head of Quality Management and the rest of the EA and CTO team to govern and assure the Enterprise Data Architecture and all solutions that contribute to / deliver this architecture
  • Work closely with all of the business and key stakeholders to solicit and capture their concerns and view requirements for the DLG Data Architecture, and to guide, advise and support the rationalisation and simplification of data sources and repositories, reducing TCO
  • Define, create and maintain the associated EA models and artefacts within the selected EA tool and Enterprise Continuum and the requisite data and information architecture views, such as
  • Extensive experience in developing Enterprise Architecture for data and information domains
  • Excellent data modelling skills
  • Excellent verbal and written communication skills, with good senior-level stakeholder management soft skills and competencies
  • Advanced level knowledge and understanding of application design, systems engineering and integration, in particular in the areas related to the generation, consumption and manipulation of data
  • Experience with the use of the leading EA tools and data modelling technologies such as Metis; Sparx EA and Erwin
  • Has experience in data architecture, including conceptual and logical data modelling (ideally in Erwin), possibly with wider data management experience (including business intelligence, data analysis, data migration, data quality, data governance)
  • Shows a systematic, disciplined and analytical approach to analysing complex information and towards problem solving, paying close attention to detail
  • Broad knowledge of enterprise information systems including structured and unstructured data management systems
  • Experience in creating enterprise scale information strategies in support of large scale transformation initiatives
  • Excellent communication skills and ability to build senior level relationships
  • Experience with RDBMS and NoSQL databases
  • MDM strategy architecture and delivery experience
  • Experienced and knowledgeable in emerging tools like columnar and NoSQL databases, predictive analytics, data visualisation, and unstructured data
  • Technologically and politically neutral, articulate, persuasive, and a good salesperson, and enthusiastic
24

Enterprise Data Architect Resume Examples & Samples

  • Manage data architecture requirements
  • Define quality assurance guidelines
  • Manage project timelines and deliverable schedules and share concerns and issues with project managers and directors
  • Build applications writing SQL and/or SSIS to manage data processes
  • Write and manage tasks to be completed by remote teams
  • Ensure applications are properly maintained by working with off-shore maintenance teams to ensure all cycles are properly completed, with strong emphasis on Quality Assurance of data and settings
25

Enterprise Data Architect Resume Examples & Samples

  • Enterprise Data Architect position will successfully lead major projects and complex assignments with broad scope and long-term business implications. Create solutions with high level of innovation, cost effectiveness, high quality and faster time to market. Lead day to day system development and maintenance activities of the team to meet service level agreements (SLAs). Collaborate with business and technical partners to identify and scope the opportunities, outline potential value and ROI, identify risks, benefits and constraints. Contribute to the overall strategy and manage complex issues within functional area of expertise
  • Develop overall strategic technical plan and create architecture proposals based on identified solution gaps. As recognized subject matter expert, lead planning, design and implementation of technical solutions. Create solution definition and solution architecture. Assist Management in Business Case Development and Scenario Planning leading to an effective decision making process. Make presentations to the Management, Business Owners and other Stakeholders
  • Assist in examining commercially available and forthcoming industry technologies related to area of expertise. Research on current and upcoming technologies and application appropriate frameworks and provide recommendations to Management. Perform PoCs (Proof of Concept) and help Department in the selection of Technology. Proactively create and maintain solution and technology road maps
  • Lead Quality Assurance and Quality Control processes in the department
  • Lead and guide team through all phases of the SDLC of an application
  • Ensure compliance to the defined standards. Actively look for opportunities to modify and enhance standards per the needs of the department
26

Enterprise Data Architect Resume Examples & Samples

  • Prepare process models to document data and information flows for sourcing and accessing warehouse data
  • Provide mapping between existing processes and proposed replacement processes
  • Perform data profiling and data analysis
  • Design and normalize a logical and physical data model to third normal form (3NF)
  • Design views and dimensional structures based on the 3NF model
  • Prepare fully refined data models in accordance with complete metadata
  • Manage and maintain the data models and associated metadata for the enterprise
  • Provide input and feedback regarding ETL processes
  • Maintain and publish project business rules and the associated enterprise data dictionary
  • In depth knowledge of modeling methodologies and techniques
  • Experience with the ERwin data modeling tool
  • Hands on experience with relational DBMS, with Teradata experience desired
  • Good understanding of ETL processes and ETL best practices
  • Experience/ familiarity with Business Intelligence tools and Business Objects is desired
  • Familiarity with Hadoop, Aster and Big Data is a plus
  • Excellent teaming and communication skills
  • Strong consultative, facilitation and consensus building skills
  • Bachelor or Master Degree in a technical discipline
27

Enterprise Data Architect Resume Examples & Samples

  • Drive data quality metrics standards; rules, data lifecycle, security, privacy, data flow diagrams, policy management, data quality rules, and supporting the development of processes to support both the enterprise model as well as business specific requirements
  • Consult, educate, facilitate and communicate knowledge and application of system tools/processes to all functional business stakeholders impacted by the data flow
  • Obtain understanding of all data architecture and systems comprising PTC’s core platform and build collaborative relationships with other development teams
  • Provide domain expertise, technical direction and risk assessment in order to support the project
  • Establish a long term Data Governance process and recommend organizational responsibilities for best practices around data management
  • Bachelor's degree; preferably in a quantitative field
  • 15+ years of relevant data management consulting (master data, metadata, data architecture, data migration, data quality)
  • Data Management experience with Oracle, Salesforce.com, Enterprise MDM and Data Quality solution technologies preferred
  • Strong collaboration, exceptional interpersonal, verbal and written communication skills including presentation skills (MS Visio, MS PowerPoint), and the ability to interact with global technical and functional teams including the business
  • Customer focused, action oriented and committed to driving quality results
  • Self-motivated and able to work independently with the ability to quickly learn and adapt to new processes and technologies in order to meet business needs and drive business value
  • Able to effectively deal with and manage ambiguity
28

Enterprise Data Architect Resume Examples & Samples

  • Support the development of the data management strategy including data architecture, data governance, data lineage and data quality across Group Functions
  • Undertake detailed and complex data analysis, investigation, research and evaluation of business changes supporting the needs of the Group
  • Support the Transformation of Functions Technology to meet regulatory requirements such as those required under Structural Reform
  • Create and syndicate documented data requirements and data models to support business and application change
  • Provide meaningful and complete detailed data requirement specifications aligned to functional requirements with paramount importance to quality and accuracy
  • Identify data taxonomies, data attributes and data lineage for group functions programmes and document their usage
29

Enterprise Data Architect Resume Examples & Samples

  • Collaborate with project teams across Voya to design end-to-end data solutions
  • Align solutions to road maps for existing data mart and data management solutions across multiple business lines Contribute to data strategies for the migration of legacy applications
  • Develop data reference architecture and promote those standards across the organization
  • Contribute to data tool standards and governance processes Assist with evaluating data complexity for projects during project initiation
  • Assist with reviewing data designs, data models for projects across Voya during architectural review meetings
  • Maintenance of data dictionary and/or metadata repositories Mentor project team members in the development of complex data/ETL/BI solutions
  • Partner with other data architects to influence and support data needs Present and socialize data strategy with business and IT leaders
  • Bachelor’s degree in Computer Science preferred 10+ years’ experience in the area of data management, modeling, data analysis, and/or reporting
  • Strong technical documentation and technical writing skills Prior experience with financial services, retirement, insurance, or medical records industry highly desirable
  • Expertise with Star, Snowflake, and 3NF data modeling techniques as well as data warehousing & data mart principles and methodologies
  • Hands on expertise with data modeling tools such as ERwin or Embarcadero ER Studio Hands on experience working with relational databases such as Oracle, SQL Server, DB2, Sybase
  • Hands on experience working with ETL tools such as Informatica or SSIS Familiarity with master data management tools and concepts
  • Familiarity with industry standard models like ACORD or IIA Hands on experience with designing and modeling ODS/Warehouses
  • Expertise on dimensional modeling and slowing changing dimensions Familiarity with BI tools like Business Objects, OBIEE, etc
  • Knowledge of Big Data technologies a plus Ability to collaborate in a multi-site matrixed work environment
  • Experience working in an agile or continuous improvement environment Eagerness to learn new tools and technologies
30

Enterprise Data Architect, VP Resume Examples & Samples

  • Develop the process for creating an Enterprise Data strategy that supports the business objectives
  • Lead the data design of solutions to ensure use of appropriate sources ("gold") and standard data technology's. Ensure solutions are sustainable, secure, scalable and flexible for future growth
  • For significant development efforts, work with major data functions to ensure thorough understanding of technology requirements and cadence of activity is understood and effectively communicated to all stakeholders
  • Translate requirements into an enterprise information architecture, which includes standards, data model and taxonomies to guide solution development and achieve consistency of information assets across the application portfolio
  • Support the Data/Information Management requirements of the Technical Architecture Design (TAD) & Detailed Application Design (DAD) for new development efforts. (Data Stores, Data Flow, Data Design, etc.)
  • Play lead role in Information Management by recommending, evaluating and assessing new technologies, standards and exceptions
  • Analyze vendor software and professional services offerings as needed for inclusion in data solutions
  • Stay current with industry trends and changing technology, providing input and recommendations for further evaluation
31

IT Development Enterprise Data Architect Resume Examples & Samples

  • Identify strategic data requirements and design models to make sure such data requirements align with the architecture of the enterprise
  • Assess the internal and external data and design blueprints to manage the available data
  • Creating inventory of data and storing the data in an easily accessible manner while ensuring protection from unauthorized persons
  • Lead development resources to design, develop and maintain Enterprise data warehouse
  • Manage and develop governance around BI reporting platform and the data warehouse
  • Responsible for protecting the enterprise’s data, but also creates back up plan to cater for the data needs of the company in times of emergency
  • Collaborates with other sub-units of the enterprise architecture to develop data solutions and models for the organization’s needs, as well as partners with the enterprise’s management needs to create data models in line with the organization’s needs
  • Remains up to date with current trends to discover new data management models and techniques
  • Meld existing data architecture with new ones as technology emerges
  • Must have a strong background in system development and data management
  • Must have working knowledge of Agile software delivery methodologies
  • Proven knowledge of database design and modeling is also mandatory for this position. Non-Essential Functions
  • 10+ years of IT experience, preferably in a database or BI related role
  • Understanding of NoSQL concepts and design
  • Overall understanding IT systems and processes. Current License or Certification: Skills and Abilities: Experience with building data warehouses from ground up
  • Strong working skills with enterprise BI and reporting platforms such as Tableau, Power BI, and SSRS
  • Strong knowledge of software development life cycle
  • Proven understanding of project management methodologies such as Agile, Waterfall and of SDLC, iterative and related methodologies
  • Strong interpersonal skills, ability to establish and maintain good working relationships with internal and external partners
  • Ability to work well within an environment of frequently changing priorities, adapt as needed, and develop a solution-oriented approach
  • Respect for the integrity and confidentiality of data
  • Demonstrated ability to lead and influence others
  • Ability to communicate professionally & effectively to both technical and business teams, across all levels of the organization
  • Strong ability to work cross-functionally with a variety of stakeholders and develop a solution oriented approach
  • Action oriented
  • Approachability
  • Building effective teams
  • Career ambition
  • Caring about direct reports
  • Comfort around higher management
  • Command skills
  • Compassion
  • Conflict management
  • Confronting direct reports
  • Delegation
  • Developing direct reports
  • Directing others
  • Fairness to direct reports
  • Integrity and trust
  • Managing and measuring work
  • Managing diversity
  • Managing vision and purpose
  • Motivating others
  • Negotiating
  • Organizing
  • Priority setting
  • Timely decision making
  • A demonstrated ability to lead people and get results through others
  • The ability to organize and manage multiple priorities
  • Excellent interpersonal and communication (both oral and written) skills
  • Strong team player and
  • Commitment to company values Working Conditions
32

Enterprise Data Architect Resume Examples & Samples

  • Lead overall physical and logical modeling standards, guidelines, best practices, approved techniques and approaches
  • Participate in due diligence of new software purchases by reviewing all proposed data models contained in packaged or commercially available applications
  • Serve on data integration, business intelligence and content management competency panels or teams
  • Work jointly with the application development and database administration teams in developing the data objects and data models to support data services under a service-oriented architecture approach
  • Establish and manage the metadata management approach for the organization
  • Develop and support the maturity and adoption of an Enterprise Information Management program across the organization
  • Perform the necessary facilitation, analysis and design tasks related to the development of Enterprise Information Management and data architecture
  • Define standards and best practices for the group as a highly regarded subject matter expert; has a wide breadth of knowledge across technologies within their area
  • Serve as a data expert on projects
  • Influence and engage in technical strategic direction with respect to data and related technologies, including creating business cases
  • Analyze the technology industry and market trends to determine their potential impact on the enterprise’s data architecture
  • Lead the development of an implementation plan for data architecture based on business requirements; researches, evaluates and recommends new technologies
  • B.S. Computer Science or related discipline or equivalent work experience and technical certifications
  • 8+ years of experience in IT, with a focus on data management and analytics
  • A minimum of 4 years of experience in a data-related specialization (data integration, data modeling, data warehousing, business intelligence, etc)
  • Experience with business intelligence and/or data warehouse technologies and design patterns required
  • Experience with and/or exposure to all 4 tiers of data analytics preferred (descriptive, diagnostic, predictive, prescriptive)
  • Experience with OLTP data modeling preferred
  • Understands, advocates, and supports the enterprise’s IT and enterprise architecture strategies
  • Willing and able to be hands-on as needed (data modeling, data integration, metadata management)
  • Ability to work independently or in a small group and serves as a teacher and mentor to other associates
  • Must have proven ability to build trust relationships with business partners
  • Understands technical solutions and business impacts of the solution
  • Familiarity with, and demonstrated understanding of, the general enterprise business and technical architectures
  • Proven ability and experience diplomatically presenting challenging positions and positively influencing others without resorting to authority; ability to debate effectively for or against project changes, continuation or cancellation, as appropriate
  • Experience in facilitating change, including collaboration with senior-level stakeholders
  • Proven internal and external influencing skills at senior and executive management levels
33

Senior Enterprise Data Architect Resume Examples & Samples

  • Expert knowledge and demonstrated abilities to lead large, multi-million dollar Data programs
  • Well versed in the following data domains: Master Data, Operational Data, Analytical Data, Unstructured Data, Metadata, and Big Data
  • Ability to architect scalable infrastructure and platform to collect and process very large amount of structured and unstructured data
  • Previous hands-on experience with high-scale or distributed RDBMS
  • Proven experience of building a reference architecture and roadmap for the enterprise. Drive enterprise best practices, principles and standards
  • Ability to analyze large scale data to identify new analytics, insights, trends and relationships
  • Experienced in selling and building Information Governance practices and processes across Fortune 500 companies
  • Expert knowledge around designing and leading Enterprise Data Warehouse, data mart, and BI solutions
  • Prior experience working with data modeling repository server environment and maintaining model versions/model objects which may be common to several distinct application development efforts
  • Excellent SQL skills and demonstrated ability to write complex SQL for purposes of analyzing data and/or evaluating how information needs might be translated into back end database structures
  • Experience with a wide range of Big Data applications and architectures
  • Hands-on experience with IBM PureData System for Operational Analytics
  • Certifications in Enterprise Architecture frameworks (i.e. TOGAF, Zachman, EABOK, EACOE, etc)
  • Experience with Metadata applications and solutions
  • Experience designing and building Product Information Management (PIM) solutions and implementations
  • Business Process Management process and application experience
  • Experience with unstructured data through the design and development of content management solutions
  • Additional 3-5 years working in another role within a data team, such as business/data analyst, quality assurance analyst, ETL developer or BI / information delivery developer
  • Object Oriented design and development through UML
  • Experience with Oracle, SQL Server, Teradata, DB2 UDB and DB2 Mainframe
34

Enterprise Data Architect Resume Examples & Samples

  • Maintain sound & in-depth knowledge of Data Management and Modern Data Architecture concepts, and proactively increase that knowledge base
  • Design modern architecture, frameworks, and enterprise data patterns (including security patterns)
  • Create and build federated data lake leveraging data from multiple platforms in AWS
  • Adapt to rapidly changing technology, and apply it to business needs
  • Lead collaborate efforts for the creation and management of process, system, and architecture standards
  • Provide expert advice in defining best practices and data standards of technology solutions
  • Collaborate with technology partners in the hospitality industry to integrate disparate technical solutions
  • Act as the SME for technical products and services, and ensure the dissemination of similar knowledge across the team
  • Actively identify and drive opportunities for improvement; coaching a culture of continuous improvement in the process
  • Aid analyst teams with translating requirements into technological specifications
  • Advise and mentor more junior team members
  • Interview new team member candidates; Weeding out the weak and hire the best via mortal combat, or whatever mildly more appropriate means are available to you at the time
  • 36+ years’ experience in Data Management / ETL applications and traditional data warehouses
  • 89+ years’ experience in AWS data management landscape
  • 89+ years’ experience with vendor relationship management, preferably in the hospitality industry, including researching and selecting the ones which best fit business needs
  • Working knowledge of open standards for data management including Hadoop (EMR)
  • Experience with Columnar Databases such as Redshift
  • Demonstrable ability to weave a 1,000 thread tapestry using a vertical loom
  • Experience writing, reviewing, and facilitating RFP’s/RFQ’s
  • Proven ability to influence and lead others in a multi-team environment on technological crusades (preferably with a cape)
35

Enterprise Data Architect Resume Examples & Samples

  • Lead the enterprise information and integration strategy and platform (MDM, SOA, ETL, Data Virtualization, Data Governances, etc.) architectures
  • Lead the team of Integration Product Architects to drive enterprise information and integration strategy and architecture deliverables
  • Steward of Integration and Information standards and design patterns
  • Identify, develop, and manage information and integration architecture patterns and reference architecture for the enterprise
  • Participate in architecture governance activities. (e.g. Architecture Review Board, Enterprise IT Controls)
  • Ensure consistency in architecture artifacts and deliverables for all Enterprise Architecture engagements
  • Four-year College or University Degree
  • 12 to 15 years of IT job-related experience
  • Five plus years of experience developing complex integration and information solution design
  • Must have experience with ALL SOA, MDM, Big Data, Messaging, Middleware technologies
  • Develop technology roadmaps for information and integration technologies
  • 3 to 5 of experience in implementing the data management platforms
  • Experience with API design, Data Modeling, and Microservices architecture
  • Proven experience in leading a team
  • Extensive experience working with diverse project teams specifically working with members representing many segments and levels of the organization
  • TOGAF, SOA Certification or similar EA Framework
  • Experience in leading and managing project execution process
  • Experience in Websphere MQ, WebSphere Message Broker, HTTP, FTP, FIX, XML Schema, WS-* and related standards such as REST/JSON, SOAP/WSDL
  • Strong teamwork and initiative
  • Highly accountable and dependable
36

Enterprise Data Architect Principal Resume Examples & Samples

  • Participates in building and maintaining Starbucks business capabilities models
  • Work with stakeholders to develop processes by which the information assets are defined, governed, and managed, in order to leverage the data in support of the strategic goals of the enterprise
  • Participate as appropriate in new project initiation
  • Educate and evangelize industry practices and technologies to team members and stakeholders
  • Ability to act as a key member of the senior leadership team
  • Information Architecture at large enterprise scale (5 years)
  • Information Architecture, governance and strategic road mapping (10 years)
  • Experience designing information solutions for modern, service oriented platforms (5 years)
  • Retail industry expertise preferred (1 year)
  • Bachelor’s degree in computer science, management, information systems, or related discipline, or equivalent work experience
  • Ability to model information across complex business domains
  • Deep data modeling expertise to model application domains by partnering with the business
  • Understanding of data profiling and quality assessment
  • Able to communicate effectively at all levels, from technical team to leadership
  • Ability to collaborate with business users to understand requirements
  • Ability to work effectively across internal and business organizations
  • Understanding of information asset management
  • Demonstrated industry leadership
37

Enterprise Data Architect Resume Examples & Samples

  • Identify data needs in projects and end-to-end processes (from operational to analytical)
  • Prioritize data investments and allocate the corresponding budget, in line with the strategic priorities
  • Align the data needs of operational projects with the data needs of go-to-market and strategic projects; prioritize projects and allocate the corresponding budgets
  • Look for synergies between roadmaps and projects to make maximum use of investments in new data concepts
  • Ensure maximum reuse of data assets
  • Prioritize problems with data quality, organize the solution with technical departments, and allocate the corresponding budgets
  • Help the business teams translate data needs into clear and useful requirements
  • Discuss end-to-end data management aspects with Project and Program Managers and Enterprise Architects
  • Organize training and communication on the correct use of data
  • Promote the data program within the company
  • Budget for data investments
  • Act as an interface between the business and the enterprise architecture to translate needs into blue print
  • Ensure alignment with all stakeholders who have an impact on the data architecture
  • Project and Process Managers
  • Enterprise Architects and Project Architects
  • Data consumers and business information owners
  • >5 years of experience in Telecom or IT engineering or Enterprise Architecture or Data Architecture
  • You are fluent in French/Dutch and English
  • You understand the business dynamic for creating value through investments
  • Demonstrated decision-making, influencing and leadership skills
  • Demonstrated effective, synthetic communication
  • Known for being a team player with strong collaboration skills
  • You have a constructive attitude and a strong interest in technology investments and customer satisfaction
  • You are comfortable around higher management (you can give presentations calmly, without getting nervous, and understand how they think and work)
38

Enterprise Data Architect Resume Examples & Samples

  • Bachelor's Degree in Computer Science, Business, Health Care or related field
  • Technical training in multi-dimensional modeling and data mining/warehousing techniques
  • Minimum five (5) years of experience in multidimensional modeling
  • Three (3) + years of recent experience modeling for the Cognos BI platform
  • Expert level knowledge and understanding of data warehouse architecture, application design, systems engineering, SDLC and integration
  • Demonstrated experience leading teams that analyze complex data related issues and/or logical data models in support of corporate and customer information systems requirements
  • Solid understanding of methodologies and technologies that depict the flow of data within and between technology systems and business functions/operations
  • Business analyst skills relevant to communication and analysis functions
  • BI development experience relevant to the Cognos reporting platform
  • ETL development experience relevant to knowledge about information design and compatibility
  • Database administration skills relevant to knowledge about conceptual/logical/physical design optimization
  • Ability to understand business requirements, translate them into technical designs, deal with complexities of integration of disparate systems, investigate the quality of the data in those systems and put it all together so it can be accessed, manipulated and turned into business intelligence
  • Technical knowledge, analytical skill, reliability and initiative required to implement quality data warehousing systems and deliver timely and well organized data intelligence
  • Ability to collect and prepare data for written and/or oral presentations communicating effectively with all levels of data processing and user management
  • Knowledge of Information Services policies, procedures and functions
  • Knowledge of Healthcare data and business practices and processes in order to provide appropriate and accurate levels of data intelligence to the business community
  • A high level of human relation skills in order to be effective in working with people of varied skills, backgrounds, and personalities at various levels throughout the organization
39

Enterprise Data Architect Resume Examples & Samples

  • Using tools such as data modelling, data governance and master data management solutions to maintain and enhance our enterprise data architecture
  • Designing key related data architectures top-down to ensure the integrity and sustainability of the enterprise data models
  • Being involved in the definition of the enterprise data architecture standards and you will be involved in key data related projects such as global system deployment, enterprise MDM implementation and analytics projects
  • Working very closely with the Enterprise Data Management, the Data Quality and the Analytics teams as well as the IS function in charge of the enterprise platforms implementation
40

Enterprise Data Architect Resume Examples & Samples

  • Refine and enhance the data strategy
  • Work with KTG leadership to ensure the Enterprise Data Architecture goals support the business needs and initiatives
  • Work with Infrastructure Architects and Data Center Operations on the design of database projects and metadata structures
  • Develop and promote corporate data standards
  • Develop and promote data and metadata policies and procedures for structural design and development to build, maintain and leverage the data model, ensuring integration with corporate data standards
  • Ensure all data models, documentation and scripts are accessible to entire organization, and ensure consistent version control is maintained
  • Provide technical and strategic guidance in the creation and implementation of data standards and structures
  • Provide technical oversight and direction for integrating new technology or new initiatives into the metadata and data
  • Promote existing Enterprise Data Warehouse strategy enabling a consistent information delivery mechanism to the business
  • Facilitate proper data integration between custom built in-house applications and purchased software
  • Assist development of strategy for data integration between on premise applications and cloud-based solutions
  • Evangelize Data Governance and value of accurate master data and metadata
  • Minimum of 5-7 years’ experience in data architecture
  • Expert level knowledge of data standards and architectures
  • Thorough knowledge of design and integration principles for databases
  • Teradata, Big Data, Azure Data Lake preferred
  • Experience with the architecture, design, development and testing of Data integration/acquisition process
  • Ability to evaluate and make recommendations regarding data integrity
  • Experience integrating multiple disparate internally developed and off-the-shelf purchased software
  • Ability to develop methods of ensuring data incompatibilities among systems are systematically eliminated
  • SAP experience ideal but not required
  • Bachelors in Computer Science, Management of Information Systems or related preferred
41

Enterprise Data Architect Resume Examples & Samples

  • Develop technology strategy, future state architecture, and roadmap for data, analytics, and integration solutions
  • Serve as information expert across multiple application and platform projects
  • Assess technologies for information storage, searching, and querying
  • Determine the structural relationships and representations of data entities
  • Develop architecture strategies for multi-tenancy, data access control, data mappings and transformations, de-identification and data masking
  • Apply clinical trial and healthcare industry data standards
  • Optimize data solution design based on data consumption needs ranging from traditional reporting, advanced analytics, machine learning, and enterprise data integration
  • Apply advanced thinking to solve regulatory compliance requirements
  • Gain approval on proposed data standards from the Technical Design Authority
  • Support transition to delivery teams
  • Provide long term evaluations of systems, company wide
  • Expert level experience with big data and traditional data architectures including: data warehousing, big data, real-time data warehouse, data virtualization, master data management, metadata management, and data transmission/data exchange
  • Expertise in data modelling for relational design and object oriented design. This includes application for relational databases, NoSQL repositories, full text search engines XML models, business object models, metadata management, taxonomy/ontology development, and enterprise data models
  • Understanding of healthcare domain and clinical trial research and development including industry standard data formats such as EHR, HL7, CDISC, OMOP
  • Knowledge of medical coding and validated terminologies such as MedDRA, SNOMED CT, RxNorm, ICD-9, and ICD-10
  • Possess knowledge on leading edge concepts in technology including Web technologies, SOA, IoT, Cognitive Computing and Machine Learning, Virtualization, Containers, Security, Cloud Computing, Mobile
  • Knowledge and experience with multiple software development methodologies
  • Possesses strong verbal and written communication skills to help in his/her interaction with a variety of stakeholders, ranging from developers to executives. Has developed very good facilitation, negotiation, and presentation skills
  • Experience in proposal writing and business case development including a thorough understanding of ROI, cost/benefit, and TCO
42

Enterprise Data Architect Resume Examples & Samples

  • Provide multi-dimensional modeling expertise and leadership by designing data structures to support the growth and improved reporting functionality of the EDW
  • Guide the development and maintenance of data standards, policies and practices; Guide the design of the data models, in alignment with the solution architecture, to ensure audit-ability of information assets
  • Analyze and understand enterprise reporting needs across the organization. Identify and analyze source data (both internal and external) that is necessary to fulfill business intelligence needs; Analyze information to evaluate the effectiveness of controls, determine the accuracy of reports, and monitor the efficiency and security of operations
  • Design conceptual/logical/physical entity relationship and/or relational models for an ODS, and multidimensional models for an EDW that implements flexible reporting capability in the context of one or more reporting toolsets
  • Work closely with database administration, ETL, and BI development staff to optimize overall design at an enterprise level; Work closely with data stewards to create and maintain records on all data sources used for reporting which may include a data model, associated meta model, common business vocabulary, ontologies and taxonomies
  • Must communicate clearly to both technical and non-technical audiences
  • Technical training or related experience in multi-dimensional modeling and data mining/warehousing techniques
  • Related and relevant experience may be considered in lieu of academic requirements. Related experience is defined as six (6) years’ experience in multidimensional modeling, modeling for data warehouse architecture
  • Three (3) + years of recent experience modeling for the Microsoft SQL/SSIS/SSAS/SharePoint BI platform
  • Experience in Epic Clarity and Cogito Data Warehouse
  • BI development experience relevant to the Microsoft reporting platform
43

Enterprise Data Architect Resume Examples & Samples

  • Establish the enterprise information and integration strategy and platform (MDM, SOA, ETL, Data Virtualization, Data Governances, etc.) architectures
  • Mentor the team of Integration Product Architects to drive enterprise information and integration strategy and architecture deliverables
  • 3 to 5 years of experience in implementing the data management platforms
44

Enterprise Data Architect Resume Examples & Samples

  • Bachelor’s degree or higher in Computer Science
  • Experience with IBM Netezza, IBM InfoSphere, and Oracle DB technology
  • Data Modeling or Database Design Experience
  • Certifications such as Six Sigma and ITIL
  • Management experience in IT
45

Enterprise Data Architect Resume Examples & Samples

  • Design, develop, implement, maintain, and continuously improve the EDW. In future state, this will be the central source of data comprised of numerous data sources, including data from the ERP, CRM and numerous other sources
  • Integrate and blend data from existing systems, including SAP, MS Dynamics, Hyperion, and Workday. Connect data from additional disparate sources into a logical structure for consumption by end-users and BI tools
  • Architect creative solutions to enable data discovery, self-service, enterprise level dashboards and reports
  • Translate and define business requirements into a technical architectural vision and implementation plan
  • Define data model strategies and develop logical and physical data models and data marts
  • Continually review technical environments, hardware, and software strategies to identify gaps, challenge assumptions and status quo, and develop ongoing solutions
  • Serve as the subject matter expert on data warehouse, ETL, and data modeling
  • Build data warehouse and data marts based on appropriate methodologies, document, and train organization
  • Develop strong understanding of LORD’s data and source systems, and build appropriate solutions that fulfill end users analytical needs
  • Create and maintain data dictionaries, report glossaries, and all supporting documentation
  • Lead and manage projects and project teams from ideation through execution in a structured manner to complete projects on time and on budget
  • Socialize current and ongoing projects, including appropriate training/procedure manuals for end-users
46

Enterprise Data Architect Resume Examples & Samples

  • Lead a team of developers and mentor junior team members
  • Specifies and provides ownership of reusable application components or reusable application code
  • Sets Data Policy and the technical solution for the management, storage, access, navigation, movement, and transformation of data
  • Elicit requirements and translate the requirements into models by building conceptual, logical and physical data models
  • Employee is required to accurately track work time based on project and /or daily work activities according to IT department guidelines
47

Enterprise Data Architect Resume Examples & Samples

  • 5 or more years focusing on Data Architecture or Analytics based design and delivery
  • Desire to define and shape a Data Architecture practice within an established firm, ensuring the company is ready for the Analytics/Big Data era
  • Someone who can build strong relationships and influence others to adopt best practices, giving compelling reasoning and benefits of doing so
  • To define, manage and maintain the Data Model for Aurora product architectures
  • To define and help govern the master data strategy for Aurora product architectures
  • To work with the Analytics group, and other Product groups, to ensure there is a holistic approach to data capture, organization, and analysis
  • To help us lead the way in data science, defining architectures that help us create the best recommendation engines based on the data we collect
  • Author and sometimes peer-review Architecture Strategy Roadmaps (ASR), Product Architecture Documents, and Solution Designs for Products
  • Author and sometimes peer-review Solution Technology Roadmaps for Customers
  • Participate in select Customer RFP, Sales and Project work as needed to further our position in the Data Architecture and Analytics space
  • Guide Development Teams in implementing architectural designs
  • Create and maintain the ASR and Technology Roadmap for Analytics solutions together with the Analytics product group
  • Support product management for assessing market needs and impact to the products
  • Support delivery for existing commitments and deliverables for assigned components
  • Demonstrates knowledge of data analysis and data modeling techniques and ability to use one of the industry leading database modeling/database design tools
  • Demonstrates in-depth knowledge of various database technologies
  • Maintains data models and data dictionaries in repository for all Products
  • Defines and maintains data naming standards and conventions
  • Researches, defines, presents and recommends database designs and/or alternative strategies
  • Assists team in determining customer data requirements and assists development team in providing database solutions
  • Analyzes data requirements, application and processing architectures, data dictionaries and database schema(s), and then amends, optimizes, and certifies database schema design to meet system(s) requirements
  • Serves as the resident expert in efficient data retrieval and manipulation, interface techniques, DBMS APIs, and DBMS Development Tools. Constructs queries, DML, data transformation and extractions by understanding and investigating existing database structures and data models within the enterprise. system(s) requirements
  • Designs and develops automated solutions using established analysis and design methodologies
  • Develops in-depth understanding of IGT products and applications at the business, application and technology level
  • Performs critical design reviews of logical and physical data models
48

Enterprise Data Architect Lead Resume Examples & Samples

  • Defines vision, strategy and principles for managing and interacting with data
  • Leads and coaches the Data Development teams globally
  • Defines standards for naming, describing, governing, managing, modeling, storing, searching and delivering all data across the organization
  • Develops and implements the comprehensive enterprise data strategies; including data modeling, implementation and data management for Client's Enterprise Data Warehouse and advanced data analytics systems
  • Responsible for planning and implementing data management for new data sources, publicly available data, business-to-business partnerships and advanced Data Analytics systems all in accordance with the comprehensive enterprise data strategy
  • Gathers requirements, gains business and Information Technology alignment, performs vendor and product evaluations, mentors' business and Information Technology resources
  • Works with cross-functional teams to ensure end-to-end technical and business viability
  • Ensures the successful delivery of solutions, training and documentation
  • Provides leadership in establishing operational and analytic environments
  • Maintains, communicates and enforces guidelines for industry recognized best practices of all aspects of data and database development efforts
  • Bachelor of Science in Computer Science, Artificial Intelligence and Data Modelling, or Mathematics, Master's Degree Preferred
  • Minimum 10 years' experience managing Master data for Enterprise Resource Planning implementations (specifically SAP)
  • Minimum 10 years' experience of Manufacturing / Supply Chain industry experience in Information Technology
  • Demonstrated experience leading complex technical projects and teams
  • Extensive experience collecting business requirements from customers and transforming the requirements into business solutions
  • Innovative with deep knowledge in various established and emerging data technologies
  • Ability to quickly engage, understand and acclimate to the organization's current enterprise data environments. Specifically, for new SAP Enterprise Resource Planning software solution implementation (Customer, Supplier, Parts/ Products, BOMs, Routing, Labor, Chart of Accounts)
  • Ability to grasp an accurate big-picture understanding of the needs of the business and develop and convey a vision and appropriate and robust solution
  • Strong understanding and experience implementing Master Data Management and improving data quality
  • Solid understanding of data architecture and data modeling techniques
  • Structured thinker and effective communicator with proven skills to work effectively across internal functional areas in ambiguous situations and comfortable interacting with customers
  • Experience consuming/exposing data in various ways, including: Application Program Interface (API), Business Intelligence (BI) Tools and Structured Query Language (SQL)
  • Strong troubleshooting skills and ability to gather necessary details to determine a proper solution
49

Enterprise Data Architect Resume Examples & Samples

  • Define and document the high level Data strategy for the organization including vision, standards and principals for data management
  • Develop a plan to incorporate that data strategy into existing data stores
  • Teams with development and business teams to ensure that the data strategy is incorporated into new projects and applications
  • Communicates the organizational data strategy to key company personnel
  • Provides leadership in establishing analytic environments required for structured, semi-structured and unstructured data. Proven track record to drive rapid prototyping and design for new projects and analytic R&D environments. Ability to translate broader business initiatives into clear team objectives and concrete individual goals, aligning appropriately with other groups for efficient, coordinated action
  • Works with staff and customers to understand the business requirements and business processes, design data warehouse ('DW') schema and define extract-translate-load ('ETL') and/or extract-load-translate ('ELT') processes for DW
  • Creates discover-access-distill ('DAD') strategies to bring significant value to data understanding
  • Frames and conducts complex analysis and experiments using various statistical techniques
  • 6+ years in a Senior Technical Data Architect role preferable in a retail or financial organization, including Big Data technologies such as Hadoop, MapReduce, MongoDB, DashDB, and Exadata
  • Additional 3-5 years working in another role within a data warehouse team, such as business/data analyst, quality assurance analyst, ETL developer or BI / information delivery developer
  • Solid understanding of Business Intelligence (BI) technology trends
  • Experience with Cloud platforms is a big plus
  • Experience with unstructured data through the design and development of content management solution
  • Experience with Spark using Scala or Python is a big plus
  • Demonstrated ability to work independently and/or on a team and meet deadlines
  • A high level of enthusiasm and a go-get-it-done attitude
50

Enterprise Data Architect Resume Examples & Samples

  • Develop an information-sharing strategy for the organization and ensure it supports key enterprise initiatives and strategies, such as enterprise application integration, service oriented architecture (SOA), cloud computing, pattern-based strategy, and big data solutions
  • Maintain reference architecture for the purposes of architectural governance and application roadmap
  • Set up, manage and lead Data Governance and Data/Application Steward programs
  • Manage the architectural data governance tools and process
  • Develop a gap plan between the current and future state data architectures and work with other enterprise architects to develop road maps for the orderly transition to the future state
  • Develop enterprise, application and analytical conceptual, logical data models in support of key initiatives
  • Lead efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), metadata management, business intelligence (BI), content management, data integration, information lifecycle management and related information management or information infrastructure components
  • Ensure the overall design of company’s enterprise information architecture (EIA) and development of the organization's information-sharing strategy. In partnership with business, functional, and information technology leaders across the business, this position will determine which data/information assets should be treated as enterprise information (for example, key data such as Provider, Client, Claims and locations, and shared business transactions across the Health Care domain) and share such information across the enterprise
  • Maintain the approved technology stack documentation and validate new designs against the stack
  • Identify opportunities to generate revenue or improve business performance through the use of internal or external information content
  • Prepare conceptual and logical subject area models and implementation-level details that affect the continuum of disciplines involved in the architecture, design, implementation and management of enterprise data
  • Collaborate, coordinate, and communicate across disciplines and departments
  • The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary
  • Minimum Bachelor’s Degree in Computer Science, Information Technology or related field, or HS Diploma and 6 years experience in technology field; advanced degree preferred
  • Minimum 5 years experience in enterprise data architecture and data engineering
  • Required licensures, professional certifications, and/or Board certifications as applicable
  • Experience in healthcare industry preferred
  • Experience in an intensely data-driven environment
  • Extensive knowledge of Master Data Management (MDM) systems & Information Lifecycle Management (ILM)
  • Experience with large enterprise data warehouse architecture design including logical and physical model development
  • Demonstrated experience with enterprise architecture involving high volume transactional systems, integration, middleware services, application service layers and user experience
  • Knowledge and experience in Data Governance & understanding of domain data models and enterprise data models
  • Knowledge of industry standard Enterprise Architecture Frameworks, (e.g. Zachman, TOGAF, DODAF) highly preferred
  • Communication (written, verbal and listening), organizational, planning, and presentation skills
  • Ability to create the conceptual solution design from a high level to solve business problems
51

Enterprise Data Architect Resume Examples & Samples

  • Work with the business analysts to understand requirements and informational needs
  • Engage with the functional SMEs to understand the data entities and sources, their relational and hierarchical dependencies, and their business context
  • Ensure all designs are modelled using the appropriate industry techniques (Kimball, Inmon) and approaches (dimensional / OLAP, normalized)
  • Apply detailed design principles (such as 3NF, surrogate keys, fact less fact tables and slowly changing dimensions) where appropriate
  • Maintain effective working relationships with Project Managers, Business Analysts and DBAs
  • Observe and integrate security and access constraints / considerations into the design
  • Identify appropriate data quality checks and ensure data quality enforcement is integral to the design (e.g. foreign key constraints)
  • Create new conceptual, logical and physical models to deliver new requirements (top down approach)
  • Work according to the project framework including timelines, quality plans, progress reporting, risk and issue identification and communication
  • Guide Customer for determining the information the enterprise will capture, retain and exploit
  • Facilitates the assimilation and integration of new technologies and/or change initiatives into the business operations
  • Extensive experience of the Data Architecture discipline in a global insurance organization with multiple corporate entities
  • In-depth understanding of data elements and their ramifications across systems for different Insurance products/LOBs namely Commercial Insurance, Retail Insurance and life insurance
  • Hand-on experience of implementing ACCORD standard and/or IAA/IIW models
  • Extensive data modelling, manipulation and rationalization experience within complex environments
  • Broad and in-depth experience of complex data environments design
  • Considerable experience of SOA based Enterprise Data architectures
  • Proven expertise on RDBMS
  • Proven expertise on Database appliances
  • Knowledge of web services and XML messaging including XSD, WSDL, SOAP and REST is desirable
  • Experience in data migration and ETL
  • Experience of MDM is a definite advantage
  • Past experience of data conversion and/or integration for COTS products like GUIDEWIRE, CALLIDUS, DUCKCREEK, VANTAGE etc will be a big plus
52

Enterprise Data Architect Resume Examples & Samples

  • Three (3) + years of recent experience modeling for the Microsoft SQL/SSIS/SSAS/SharePoint BI platform for HFHS EDW OR
  • Experience in Epic Clarity and Cogito Data Warehouse preferred for HFHS EDW
  • BI development experience relevant to the Microsoft reporting platform preferred
  • ETL development experience relevant to knowledge about information design and compatibility preferred
  • Database administration skills relevant to knowledge about conceptual/logical/physical design optimization preferred
53

Enterprise Data Architect Resume Examples & Samples

  • 10+ years of in depth experience in multiple IT disciplines within a higher education environment including technical architecture, network design, application development, middleware, servers & storage, database management and operations
  • Demonstrated ability to translate business needs into long-term architecture solutions. Expertise relating to the design and development of software across the organization
  • Knowledge of relational SQL, NoSQL and in-memory databases including, but not limited to, Oracle, DB2, Microsoft SQL Server, MySQL, Hadoop, MongoDB, SAP HANA, and others
  • Significant experience with the integration of highly complex, diverse, internally and externally developed implementations of business functions to build enterprise-class, scalable systems
  • Extensive experience in multidimensional data modeling, such as star schemas, snowflakes, normalized and denormalized models, handling “slow-changing” dimensions/attributes
  • Expert understanding of Cloud Architecture in the context of Saas, Paas, IaaS, and the ability to address the unique security considerations of secure Cloud computing
54

Enterprise / Data Architect Resume Examples & Samples

  • 10+ years of experience with designing and developing system architecture
  • Experience with SharePoint, Jira, Java, and Microsoft Project
  • Knowledge of project and portfolio management
  • BA or BA degree in Electronics and Communications
55

Enterprise Data Architect, Principal Resume Examples & Samples

  • Data Strategy, Architecture and Governance
  • Define and enforce the enterprise level data strategy for PTC
  • Develop, maintain and evangelize data architecture guiding principles, policies, best practices, reference architecture and standards
  • Collaborate with the various Business, Operations and IT stakeholders to define, establish and run a data governance processes and working groups as part of the overall architecture governance that would fit with current PTC culture
  • Represent data architecture concerns in design, implementation and deployment reviews
  • Provide general guidance to teams on data architecture topics
  • Facilitate data architecture working sessions across solution teams
  • Facilitate data architecture working sessions with infrastructure and operations teams
  • Data Discovery, Quality, Analysis, Transformation, Migration, Modeling, Lifecycle Management and Master Data Management (MDM)
  • Manage and actively contribute to data quality and cleansing activities
  • Establish and manage metadata, semantic master data on data domains such as products, pricing, parts, customers, contacts, contracts, etc
  • Experienced in discovery, analysis, transformation and modeling of products, pricing, parts, customers, contacts, contracts data
  • Establish a harmonized, master view of product catalogs and product hierarchies across global internal systems - Salesforce CPQ (configuration, pricing, quoting), Zuora, Oracle, Flexera
  • Create, establish and enforce a MDM strategy and architecture
  • Play a lead role in selecting and implementing technologies supporting MDM, data discovery and analysis tools and champion related process changes
  • Design and implement MDM model for product and pricing data, establishing a master view of product catalog across global internal systems and related data stores
  • Lead data innovation initiatives
  • Maintain currency with leading and emerging data technologies including “big data” platforms, NoSQL databases, data streaming, in-memory data management, real-time analytics, cloud data services
  • Identify business opportunities for applying leading and emerging data technologies at PTC
  • Lead proofs of concept and prototypes of leading and emerging data technologies
  • Provide guidance to business, solution development and operations teams in applying leading and emerging data technologies
  • Bachelor's degree; preferably in a related field
  • 10+ years of relevant experience on data strategy, data architecture and management consulting
  • Strong implementation experience and deep knowledge in Master Data Management, Data Integration, and Data Quality
  • Data Management experience with Oracle, Salesforce.com, Enterprise MDM, Data Discovery and Data Quality solution technologies preferred
  • Strong experience with database modelling, development, query-building, and analysis tools
  • Experience with designing and building complex ETL, cleansing, and data synchronization processes across information systems
  • Must be a team player and be able to work collaboratively with and through others
  • Excellent verbal and written communication skills including presentation skills (MS Visio, MS PowerPoint), and the ability to interact with global technical and functional teams including the business
  • Willingness and ability to mentor junior staff
56

Enterprise Data Architect Resume Examples & Samples

  • Proven experience with Data Warehouse and BI systems; extensive experience in collecting business requirements from customers, and transforming those requirements into database data processes and data schema
  • Proven track record of driving rapid prototypes and designs for new projects. Ability to translate broader business initiatives into clear “team objectives” and concrete individual goals, aligning appropriately with other groups for efficient, coordinated action
  • Strong Knowledge of relational SQL databases and SQL – in at least one of the following environments: Oracle or Microsoft SQL Server
  • Expertise in ETL (including SSIS and SSRS)
  • Knowledge of Reporting tools including d3.js,
  • Big Data schema design and predictive analytics, particularly in the area of IoT / sensor data
  • Real-time and historical analysis, decision support and machine learning
  • Strong understanding of algorithms, Hadoop framework and data structures
  • Strong analytical and Data Manipulation (e.g. XML, JSON), with data ETL expertise (e.g. Hadoop and Spark)
  • Strong data integration knowledge; Data Modeling; highly experienced in data governance; and knowledge of presentation layer, data visualization and dash boarding
57

Enterprise Data Architect Resume Examples & Samples

  • Responsible for end-to-end data architecture and governance from an Enterprise perspective
  • Drive both the data architecture and governance for the operational and analytical data environments, data consumption patterns and design to achieve desired business outcomes
  • Interact with all levels of the organization spanning IT and each of the business functions and markets across the corporate network as required for standard data processes or projects
  • Assist in the design and build for data strategy, direction and roadmap for master data management, data quality program, data warehousing/lake, business intelligence and analytics for the enterprise
  • Develop / enhance data models to support business requirements from strategic initiatives
  • Propose appropriate modeling and data management solutions to meet the overall vision of the organization
  • Develop and maintain lineage among various systems in the enterprise
  • Make necessary on-going updates to modeling principles, processes, solutions and best practices to ensure that the data management is aligned with changing needs of the environment
  • Deep understanding of master data management architecture and applications
  • Construct holistic view of the data infrastructure required to run the business and collaborate with technology and business partners
  • Define, design and oversee data migration architecture or processes in a single cloud
  • Proven experience in architecture governance, controls, and peer reviews in regard to data, security, and cloud
  • Experienced in developing architecture reference models for data governance and control
  • Ability to authentically and effectively communicate with various stakeholders across business and IT
  • Responsible for creating design patterns and best practices for data and the integration of data through the enterprise
  • Ability to understand and mitigate architecture risk and compromise
  • Familiarity with ETL tools is preferred
  • 10 or more years of data analysis, data modeling, data integration experience, working alongside business and IT teams in support of IT project and business initiatives
  • Curiosity, business and results orientation is a must, alongside knowledge of and experience with leading data analysis and data management approaches
  • Hands on data-centric operational experience, in support of business functions (Customer, Marketing, Service Center, Sales Comp Analytics…)
  • Demonstrated understanding of data management best practices and patterns
  • Detail-orientation with the ability to rapidly learn and leverage new concepts, business models, and technologies
  • Experience in influencing executive business and IT leadership
  • Ability to design and develop Business Process Management workflows, spanning both orchestration and human task use cases
  • Ability to travel up to 50% time
  • Ability to regularly operate a motor vehicle
  • Current state driver’s license