Semantic Engineer Ontology Engineer

Senior Semantic Engineer / Ontology Engineer

Location : East Hanover NJ Onsite: 3 days & 2 days remote a week
Mode of Interview: Interviews will be via zoom. May be in Person for the final round.

Job Description:
We are hiring a Senior Semantic Engineer / Ontology Engineer to lead the design of healthcare-grade ontologies and semantic layers that power trusted analytics interoperable data products and AI-ready knowledge systems. You will apply metrics-first semantic modeling and ontology engineering practices aligned to the principles such as clear semantics reusable meaning governance-by-design and measurable business outcomes. Youll work across RDF and property graph paradigms and Snowflake semantic layer.

What Youll Do
Design and evolve healthcare ontologies and semantic models to standardize meaning across domains (clinical patient provider claims access quality outcomes).
Design data products that are AI-ready and leverage ontologies and semantic models
Build metrics-first semantic layers:
Define canonical metric definitions dimensions hierarchies and calculation rules.
Ensure metrics are explainable auditable and consistently implemented across products and teams.
Model knowledge in both:
RDF (RDFS/OWL) for formal semantics and interoperability.
Property graphs for traversal-heavy use cases and relationship analytics.
Develop and maintain semantic artifacts:
Concept schemes entity models vocabularies mappings and documentation.
Alignment patterns between ontologies data products and downstream analytics/AI use cases.
Implement semantic integration patterns:
Entity identity resolution entity linking terminology harmonization and enrichment workflows.
Partner with platform teams to operationalize semantics in Snowflake:
Enable semantic access patterns that support analytics and AI applications.
Contribute to solutions that leverage Snowflake Cortex for semantic enrichment and assisted discovery (within established governance constraints).
Collaborate with governance and architecture stakeholders to embed:
Versioning stewardship workflows quality checks and change management for semantic assets.
Guide best practices and mentor engineers/analysts on ontology engineering graph modeling and metrics-first design.

Required Qualifications
8 years in semantic engineering ontology engineering knowledge graph development or closely related roles.
Demonstrated experience in healthcare data domains (payer/provider clinical claims RWE quality outcomes etc.).
Strong hands-on ontology engineering experience:
RDF RDFS OWL
SPARQL and/or graph query experience
Ontology modularization alignment and lifecycle management
Experience with property graph modeling (e.g. Neo4j-style patterns) and translating between RDF and property graph representations when needed.
Proven delivery of a metrics-first approach:
Canonical KPIs/metrics definitions dimensional modeling alignment semantic consistency across BI and data products.
Experience working with modern cloud data platforms especially Snowflake and exposure to Snowflake Cortex for AI-enabled workflows.
Strong stakeholder communication skills: able to translate clinical/business intent into precise semantic definitions and usable artifacts.

Preferred Qualifications
Familiarity with healthcare interoperability and terminology standards (e.g. HL7/FHIR SNOMED CT LOINC ICD-10) and how to map/align them to enterprise semantics.
Experience with semantic tooling and practices validation rules ontology testing and CI/CD for semantic assets.
Experience deploying semantic context layers