Semantic Graph & Ontology Architect

What You Bring (required qualification and skill sets)

· Bachelor’s/Master’s in CS, Data Science, Mathematics, Engineering, or related field.

· 7–12 years in graph databases, semantic modeling, ontology engineering.

· Deep expertise in Cypher, Gremlin, SPARQL; strong command of LPG vs RDF/OWL tradeoffs.

· Hands-on with Neo4j, AWS Neptune, TigerGraph, Stardog (at least one in production).

· Experience mapping enterprise data (Snowflake/MongoDB/SharePoint/ERP) into graph/ontology layers.· Strong understanding of RBAC/RACI, data governance, lineage, and security controls.

· Strong understanding of RBAC/RACI, data governance, lineage, and security controls.

· Ability to design clean APIs and reference implementations for semantic enrichment/retrieval.

· Practical AWS familiarity (IAM, VPC, S3, EKS/ECS/Lambda) in collaboration with platform teams.

Preferred Qualifications

· Ontology tooling (Protégé, SHACL/SWRL), reasoning engines, and constraint modeling.

· Prior delivery of enterprise knowledge graphs supporting workflows & audit trails.

· Exposure to vector retrieval/RAG and how graph context informs re-ranking.

· Observability awareness (tracing across graph layers, OpenTelemetry, Prometheus/Grafana).

· Experience with Snowflake/MongoDB/SharePoint APIs and ERP data structures.