Manage the design, build, and optimization of enterprise knowledge graph infrastructure, including data ingestion pipelines, vector database deployment, and graph query APIs. Own end-to-end responsibility for knowledge graph data hydration, ontology mapping (RDF/SPARQL/R2RML), relational and graph database optimization, and secure handling of sensitive data.… Lead containerization and cloud deployment of graph services while collaborating with architects and application teams. Requires 5+ years hands-on experience with semantic technologies, graph databases (Neo4j, Stardog), vector stores (Pinecone, Weaviate), relational databases (PostgreSQL, MySQL, SQL Server), and proficiency in Python or Java for integration and API design.
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