Data Ontology Architect

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. Implement ontology alignment, schema mapping, and master/reference data management across complex enterprise systems. Design and support AI-driven data governance workflows including lineage tracking, policy enforcement, access control, and auditability. Develop agentic AI solutions using frameworks such as LangGraph, AutoGen, and CrewAI to automate metadata enrichment, governance, and workflow orchestration. Ensure observability and monitoring of data and AI systems through lineage tracing, metadata tracking, and operational dashboards. Apply governance and security controls including prompt injection defense, role-based access control, and secure data handling practices. Optimize semantic and governance platforms for scalability, reliability, compliance, and production deployment. Build CI/CD processes for ontology releases, governance workflows, metadata pipelines, and AI deployments. Stay current with emerging trends in data governance, metadata management, semantic web technologies, knowledge graphs, and agentic AI best practices.