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
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Senior