Database Architect

The Database Architect will implement an enterprise wide Data Catalog/MDM solution covering both structured and unstructured data, and setup and configure the semantic layer and lineage needed for AI tools discovery/enablement. The ideal candidate will bridge data engineering, governance, and AI consumption needs to ensure high-quality, well-documented data assets are available for analytics, machine learning, and generative AI use cases. A continuous process should be established to keep the catalog/mdm solution updated when changes are made, and ensure data quality and consistency is maintained.

This position will perform the following duties, working across various teams.

Enterprise Data Modeling, Semantics & AI Enablement

• Develops conceptual, logical, physical models across domains.

• Maps transformations & integrations, and drive clarity across systems.

• Reverse-engineers legacy data structures to modernize, streamline, and rationalize system designs.

• Uses ER/Studio & model automation to ensure standards and performance.

• Governs design-to-implementation alignment with engineering.

• Expands taxonomy and ontology usage across domains.

• Applies semantic tagging to improve discovery, trust, and reuse.

• Aligns semantic attributes with lineage & classification rules.

Data Governance, Metadata & Catalog Management

• Maintains and enriches data dictionaries while automating metadata ingestion and scanning processes.

• Applies lineage and classification standards (Purview/Unity Catalog).

• Connects catalog to BI and ETL/ELT pipelines.

• Expands glossary coverage with stewards.

• Implements catalog APIs for programmatic queries/updates.

• Trains users on catalog practices and continuously monitors metadata quality KPIs.

Data Strategy & Readiness

• Translates business needs into structured data designs and metadata deliverables

• Prioritizes modeling/governance work with product owners.

• Provides status & risk updates; manage dependencies.

• Supports business-led analytics and stewardship routines.

Team Enablement & Knowledge Transfer

• Facilitates design/model reviews while maintaining standards and templates.

• Supports cross-enterprise stewardship and governance routines.

• Creates training materials and onboarding guides for business users., Working as an Enterprise Database Architect experience with MDM/Data Catalog implementation

4

Required

Experince as a Data Modeler/DBA with Oracle and SQL Server RDBMS

4

Required

Expertise in various enterprise data catalog platforms like Microsoft Purview, Collibra, Alation, etc.

3

Required

Experience in AI/ML technologies and semantic/context layer design and integration.

3

Required

Experience with cloud technologies and tools in AWS and Azure including data platforms like AWS Data Lake

3

Required

Data Governance, classification and security

2

Required

Data Lineage, Integration and Transformation tools like Informatica, Fivetran, etc.

Experience in API design in metadata harvesting, automation and event driven integration

2

Preferred

.Vector databases, feature stores experience preferred

2

Preferred

Experience in scripting using Python preferred.

2

Preferred

Experience working with Texas state government agencies preferred.

1

Preferred

Experience using github