Enterprise Data Architect

- 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

- 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.

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.

- Identify and support design of reusable data products

- Define schemas, interfaces, metadata and quality requirements

- Establish product boundaries, stewardship and ownership models.

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.

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.

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

- 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.