Enterprise Data Architect
Mbi Llc
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
Vacancy posted 1 day ago
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