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Senior Data Modeler (Ontology & Semantic Modeling)
Experience: 5+ Years
Job Summary
We are looking for a Senior Data Modeler with experience in enterprise data modeling, ontology/semantic modeling, and insurance data. The role involves designing enterprise data models, ontologies, and semantic frameworks to support data integration, analytics, AI, and governance.
Key Responsibilities
Design conceptual, logical, and physical data models.
Develop and maintain enterprise ontologies, semantic models, and knowledge graphs.
Define business entities, relationships, and data standards.
Translate business requirements into scalable data models.
Support data governance, metadata, lineage, and data quality.
Collaborate with business, architecture, engineering, and analytics teams.
Required Skills
5+ years of experience in Data Modeling or Data Architecture.
Strong experience with conceptual, logical, and physical data modeling.
Hands-on experience with ontology and semantic modeling.
Knowledge of RDF, OWL, SPARQL, or similar semantic technologies.
Experience with data modeling tools (ERwin, ER/Studio, or PowerDesigner).
Strong analytical, communication, and problem-solving skills.
Preferred Skills
Insurance domain experience and knowledge of ACORD.
Experience with knowledge graphs, Neo4j, Stardog, Timbr, or similar platforms.
SQL and cloud data platforms (AWS, Azure, Snowflake, Databricks).
Experience with data governance and metadata tools (Collibra, Purview, Alation).
Exposure to AI/GenAI and enterprise knowledge graph implementations.
Data Modeling, Ontology, Semantic Modeling, Knowledge Graph, RDF, OWL, SPARQL, ERwin, Neo4j, Stardog, SQL, Snowflake, Databricks, AWS, Azure, Insuran
Work arrangement
No
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