Database Architect 2 to support enterprise-wide data architecture initiatives with a strong focus on Master Data Management (MDM), Data Catalog, Data Governance, metadata, data lineage, and AI readiness.
Key Responsibilities
Develop conceptual, logical, and physical data models
Lead enterprise data architecture and modeling initiatives
Support MDM, Data Catalog, metadata, data lineage, and governance
Work with Microsoft Purview, Collibra, or Alation
Develop and maintain data dictionaries, taxonomies, ontologies, and business glossaries
Support data quality, classification, security, and governance standards
Design semantic/context layers to support AI/ML and Generative AI
Integrate catalogs with BI and ETL/ELT pipelines
Develop APIs for metadata harvesting and automation
Support AWS and Azure data platforms
Facilitate architecture reviews, documentation, training, and knowledge transfer
Required Experience
7+ years as an Enterprise Database Architect, including MDM/Data Catalog implementation
4+ years of experience with Oracle and SQL Server
4+ years with enterprise Data Catalog platforms such as Microsoft Purview, Collibra, or Alation
3+ years with AI/ML technologies and semantic/context layers
3+ years with AWS and Azure data technologies
3+ years in Data Governance, classification, and security
2+ years with data lineage and integration tools such as Informatica or Fivetran
2+ years designing APIs for metadata harvesting, automation, and event-driven integration
Preferred
Vector databases and feature stores
Python scripting
Texas State Government experience
GitHub experience
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