Knowledge Graph Engineer/Ontology- Semantic Data Models
Quick overview
Job description
Required Skills & Experience
- Strong experience in designing and implementing Knowledge Graphs, Ontologies, and Semantic Data Models.
- Hands-on expertise with semantic technologies such as RDF, OWL, SPARQL, SKOS, SHACL, and graph databases.
- Experience with graph platforms such as Neo4j, Stardog, GraphDB, Amazon Neptune, Ontotext, or Azure Cosmos DB (Gremlin).
- Knowledge of enterprise metadata management, taxonomy development, and information architecture.
- Experience integrating structured and unstructured data sources into unified semantic models.
- Familiarity with AI/LLM-driven search, retrieval, and natural language querying approaches.
- Ability to translate business concepts into reusable ontology frameworks.
- Excellent stakeholder management and collaboration skills, particularly within Enterprise Architecture environments.
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