Senior Ontology Data Modeler Job at Techvilla Solutions, West Des Moines, IA

  • Techvilla Solutions
  • West Des Moines, IA

Job Description

We are seeking a Senior Ontology Data Modeler with 5+ years of experience in data modeling, data architecture, ontology modeling, and semantic modeling. The ideal candidate will have hands-on experience designing enterprise ontologies, semantic data models, knowledge graphs, and business vocabularies, with strong SQL and cloud data platform experience.

Must-Have Technical Skills

  • 5+ years of experience in Data Modeling, Data Architecture, and Ontology/Semantic Modeling.
  • Strong experience with Conceptual, Logical, and Physical Data Modeling.
  • Hands-on experience with RDF, RDFS, OWL, and semantic technologies.
  • Experience designing and developing Knowledge Graphs.
  • Strong SQL skills.
  • Experience with AWS and cloud data platforms.
  • Experience with Amazon S3 and familiarity with Apache Iceberg is a plus.
  • Insurance domain experience, preferably Annuity.
  • Experience translating business requirements into scalable data and semantic solutions.
  • Strong stakeholder management and communication skills.

Preferred Technical Skills

  • Timbr or other ontology-based semantic-layer platforms.
  • Graph databases such as Amazon Neptune, Stardog, or Neo4j.
  • Data governance and metadata platforms such as Collibra, Alation, or Microsoft Purview.
  • Tableau, Power BI, or Business Objects.
  • ETL pipelines and stored procedures.
  • AI/GenAI, GraphRAG, Semantic Search, Knowledge Graphs, or Agentic AI.
  • Traditional data modeling tools such as ERwin, ER/Studio, or PowerDesigner.
  • Git and version-controlled development workflows.

Key Responsibilities

  • Design, build, and maintain enterprise ontologies, semantic data models, knowledge graphs, taxonomies, and business vocabularies.
  • Define business entities, relationships, hierarchies, metrics, and semantic rules across enterprise data domains.
  • Model insurance domains including Policy, Claims, Underwriting, Customer, Product, Sales, and Producer/Agency.
  • Harvest business logic from reports, dashboards, ETL processes, and stored procedures.
  • Work with business SMEs to capture and formalize business knowledge.
  • Apply both bottom-up and top-down modeling approaches.
  • Refine, validate, and improve AI-assisted ontology candidates.
  • Map ontology concepts to physical data sources and validate results against source-of-truth systems.
  • Implement ontology development using versioning, testing, and controlled promotion across DEV → QA → STAGE → PROD.
  • Manage ontology and semantic-model artifacts using Git.
  • Collaborate with Data Architects, Data Engineers, BI teams, AI teams, and business SMEs.
  • Support BI, analytics, AI, and agent-based workflows consuming semantic models.
  • Support data governance, metadata management, data lineage, and data quality initiatives.
  • Ensure semantic solutions align with enterprise architecture, industry standards, and data governance best practices.

Job Tags

Contract work

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