Enterprise Data Architect

The Enterprise Data Architect is responsible for defining and evolving the clients 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. 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. Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experienceMinimum 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 toolsAt least 5+ years of experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP). 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.