Data Ontology Architect

We are seeking a Semantic Data Architect to lead the design and operationalization of our enterprise data governance framework. You will own data cataloging, end-to-end data lineage, and governance policy implementation, ensuring our data assets are trustworthy, discoverable, and compliant across all domains.

• Design and implement enterprise ontologies, semantic models, taxonomies, and knowledge graphs to support data governance and AI-driven business applications.

• Define and manage enterprise data lineage, metadata management, data cataloging, and semantic interoperability standards across platforms.

• Develop governance frameworks for data quality, stewardship, classification, ownership, compliance, and lifecycle management.

• Architect conceptual, logical, and physical data models aligned with enterprise architecture, governance standards, and business requirements.

• Design and support scalable data products enabling trusted, reusable, and domain-driven data consumption across analytics and AI platforms.

• Develop and implement Medallion Architecture data models (Bronze, Silver, Gold layers) for scalable and governed enterprise data platforms.

• Design and develop Databricks Data Vault solutions including hubs, links, satellites, historization, and lineage tracking for enterprise analytics and governance use cases.

• Architect semantic data models and ontology frameworks to improve data discoverability, traceability, and contextual understanding.

• Build and integrate knowledge graphs, metadata repositories, vector databases, and enterprise data platforms for contextual AI and analytics.

• Collaborate with business, governance, engineering, and AI teams to establish enterprise-wide data standards and domain models.