The Role
Define and evolve enterprise information architecture and reusable data products. Partner with business, product, and engineering teams to create data domains, models, governance, metadata, and migration strategies. Embed data products in modernization efforts, ensure data quality/security/privacy, and enable discoverable, governed data assets for analytics and AI.
Summary Generated by Built In
Role Summary
The Enterprise Data Architect is responsible for defining and evolving the Commonwealth’s enterprise information architecture and reusable data products to support transformation and AI priorities.
This role partners with business leaders, product and engineering teams and enterprise technology org to identify which information assets should be shared across agencies and which should remain domain specific. The position will define data domains, create data models, ensure data quality, map source to domain and assist in creating contracts to support modernization initiatives and future AI capabilities. The role serves as the bridge between business processes and technical implementation, ensuring that new solutions contribute to a sustainable enterprise data foundation rather than creating additional silos. The ideal candidate possesses a comprehensive understanding of data architecture principles, practical data modeling experience, and deep expertise in data-centric architecture.
Key Responsibilities
1. Enterprise Information Architecture
• Define conceptual and logical data models for common business entities.
• Establish canonical models and enterprise information standards.
• Define relationships between enterprise and domain-specific data assets.
• Design enterprise information architecture that incorporates data classification, privacy, security, and regulatory requirements by design.
2. Modernization Programs
• Partner with workflow modernization teams (product and engineering) to embed reusable data products into solution designs.
• Analyze legacy systems and identify information assets suitable for enterprise reuse.
• Prevent duplication of data structures across applications and agencies.
• Support data migration strategies and target-state architecture.
3. Data Product Architecture
• Identify and support design of reusable data products
• Define schemas, interfaces, metadata and quality requirements
• Establish product boundaries, stewardship and ownership models.
4. Data Governance and Metadata
• Establish data architecture principles, data standards, best practices, and guidelines including data catalog, data lineage, observability, security and interoperability
• Define business definitions and data quality expectations.
5. Platform and Technology Collaboration
• Work with engineering and platform teams to translate business concepts into technical designs.
• Partner with cloud, integration and data teams to implement enterprise data products.
• Promote API-first and product-based approaches to information sharing.
6. AI Enablement
• Ensure enterprise data products are discoverable, governed and suitable for future AI use cases.
• Support semantic layers, knowledge graphs and natural language access to enterprise information.
Desired Background and Experience
• Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience
• Minimum 10 years of experience in data architecture, information architecture or enterprise architecture.
• 8+ years of hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehouse/data marts, MDM concepts and tools
• At least 5+ years of experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP). Experience working with unstructured data is a plus.
• Experience working with data security, privacy and regulatory requirements for handling sensitive data
• Experience in designing and implementing data quality initiatives, including platforms and tooling
• Demonstrable experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders
• Ability to work across domains and stakeholders with strong communication skills
• Proven ability to develop work plans for self, resolve ambiguity and lead teams without authority
Industry Experience in Public sector, Healthcare or Financial Services is preferable
Candidates may have previously served as Principal Architect, Enterprise Information Architect, Solution Architect for large enterprises or modernization initiatives
Success Measures
During the first year, this role will
• Establish enterprise information architecture principles.
• Define reusable enterprise data products for priority domains.
• Support specific modernization initiatives as a model implementation.
• Introduce metadata and ownership standards.
• Enable future modernization efforts to reuse common data assets rather than recreating them.
• Lay the foundation for enterprise analytics and AI capabilities across the Commonwealth.
Requirements
Skill
Required / Desired
Amount
of Experience
experience in data architecture, information architecture or enterprise architecture.
Required
10
Years
Required
10
Years
hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehou
Required
8
Years
Required
8
Years
experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP
Required
5
Years
Required
5
Years
experience working with data security, privacy and regulatory requirements for handling sensitive data
Required
Required
experience in designing and implementing data quality initiatives, including platforms and tooling
Required
Required
experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders
Required
Required
Skills Required
- Bachelor of Computer Science, Information Systems, Systems Programming or equivalent
- Minimum 10 years experience in data architecture, information architecture or enterprise architecture
- 8+ years hands-on experience in data architecture, data engineering, advanced database design, modeling, data warehouse/data marts, MDM concepts and tools
- 5+ years experience with Snowflake, Databricks, MongoDB and big data on cloud ecosystems (AWS, Azure, GCP)
- Experience working with data security, privacy and regulatory requirements for handling sensitive data
- Experience designing and implementing data quality initiatives, including platforms and tooling
- Experience with data governance, metadata management, data catalog, data lineage and observability
- Experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders
- Experience promoting API-first and product-based approaches; defining schemas, interfaces, metadata and ownership models
- Strong communication skills and ability to work across domains and lead teams without formal authority
- Industry experience in Public Sector, Healthcare or Financial Services
- Experience with unstructured data, semantic layers, knowledge graphs, and natural language access (AI enablement)
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The Company
What We Do
Novalink Solutions LLC is a global consulting, engineering, and AI product development company specializing in information technology and telecommunications. They provide AI-powered products, automation platforms, intelligent workflow systems, IT consulting, managed engineering, and staff augmentation services.
