The document discusses the responsibilities of an Enterprise Data Architect, including defining vision/strategy for data management, standards, governance, modeling, and more. It lists key tasks like implementing data strategies/roadmaps, models, and governance frameworks. The architect must understand how data is used and mitigate risks. Relevant domains include data strategy/governance, modeling, store definition, analysis, and content management. The architect must also track emerging solutions/topics and possess skills like strategy analysis, communication, and leadership.

1. An Enterprise Data Architects thoughts on…
An Enterprise Data Architects’
Job Description
…with main tasks and domains to master
Lars E Martinsson
www.linkedin.com/in/larsmartinsson
Disclaimer: Content and opinions in this material are those of the author and may not represent those of any prior, current or future employer

2. Presentation Goal
• The goal of the presentation
– Give a light introduction to what responsibilities an
Enterprise Data Architect most likely should have in a
software development organization
• The reason for the presentation is two-fold
– Remind people hiring Enterprise Data Architects what
responsibilities and subject areas the person should
generally be able to cover
– Remind Enterprise Data Architects what responsibilities and
subject areas one must have appropriate skills for

3. Our attempt at a Formal Definition
• Define vision, strategy and principles for data mgmt
• Define standards for naming, describing, governing,
managing, modeling, cleansing, enriching,
The transforming, moving, storing, searching and
delivering all data within the enterprise
Enterprise • Serve as the liaison between data consumer
representatives and data solution development,
Data integration and governance teams
Architect • Inform and interpret data project sponsors
• Must understand how data is, or will be, used and
implication on people, processes, products and
technology

4. Our Informal Definition
“The overarching responsibility for an
Enterprise Data Architect is Risk Mitigation as
there is no bigger cost to a software company
than if the Data Architecture turns out to be
wrong, incomplete or incorrectly used; all
signs it was not under proper control”
- Lars E Martinsson

5. High Level Data Architecture Tasks
Define and Implement
• Enterprise Data Vision and Strategy
• Enterprise Data Scoped Roadmap
• Enterprise Data Standard
• Enterprise Data Model
• Enterprise Data Governance Functions and Frameworks
• Enterprise Data Technology Use Map
• Enterprise Information Analysis Maps
• Reference, Master, Meta Data and Document Practices
Set Goals and Measure
• Data Project Progress
• Data Quality Improvements
• Data Compliance Level
Sponsor, Lead and Participate in
• Enterprise Data Initiatives
• Industry Data Initiatives

6. Data Domains To Master
Data Strategy and Data Governance Data Content Management
• Data Architecture Roadmap Evangelism • Reference Data Management
• Data Store and Tool Vendor Evaluations • Master Data Management
• Data Policies, Processes and Standards • Meta-Data Management
• Data Architecture Reviews and Issue Resolution • Data Life Cycle Management
• Data Quality Management
Data Modeling • Corporate and Regulatory Compliance
• Conceptual Data Modeling
• Canonical Data Modeling
Data Asset Discovery and Access
• Logical Data Modeling • Data Store Inventory Discovery
• Data Object Modeling • Data Security and API Control
• Relational Modeling • Data Languages
• Document Modeling
Data Analysis
• Analytics Modeling
• Business Intelligence Reporting
Data Store Definition • Predictive/Reactive Decision Support
• Topology and Virtualization Modeling • Business Rule Management
• Data Federation Modeling • Data Warehouses, Data Marts
• Performance, Scaling, Caching • Data Migration, ETL, Archive

7. Augmentative Skills To Master
Corporate Strategy Analysis
Strategy, Project and Product Risk Assessment
Enterprise and Functional Modeling
Product Requirements Interpretation
Product Reviews and Governance
Collaborative Project Team Management
Software Development Methods
Software Release Life Cycle Management
Foster relationships with key stakeholders
IT Management
Relevant Industry Domain Knowledge
Positive Passionate Influential Inspirational Leadership and Mentor Attitude
Excellent Written, Verbal, Virtual and Live Communication Skills

8. Must Keep Up With Hot Topics *
* This page likely out of date and fashion at the point you read it

9. Must Keep Track of Hot Solutions *
* This page is likely also out of fashion at the point you read this

10. Proposed Next Step
Check out my “Data Architecture Deliverables
for Software Development Orgs” slide deck
• Lists over 200 Deliverables an Enterprise Data
Architect should ensure are contemplated
• http://slidesha.re/UrAwJy
Feedback? Contact me through LinkedIn www.linkedin.com/in/larsmartinsson