Ontology Specialist

Compunnel Inc.

New York (NY)

Hybrid

USD 120,000 - 160,000

Part time

38 hours ago
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Job summary

Compunnel Inc. in New York City seeks a seasoned Semantic Data Architect to lead the design and evolution of ontologies, taxonomies, and knowledge graphs across enterprise data platforms.

You will translate business concepts into formal semantic models, collaborate with data and platform teams, and publish reusable artifacts to drive consistency and scale. The role requires 6+ years in semantic modeling or ontology development, strong RDF/OWL skills, Neo4j experience, and proficiency in Python

Qualifications

  • At least 6 years of professional experience with hands-on work in semantic modeling, knowledge graphs, or ontology development and a Bachelor's degree or equivalent practical experience.
  • Practical experience designing and applying ontologies or semantic models in real-world data environments.
  • Working knowledge of semantic web technologies (e.g., RDF, RDFS, OWL) and modeling complex data relationships.
  • Experience with Knowledge Graph platforms and tooling (e.g., Neo4j) and modern graph-enabled AI approaches such as GraphRAG is a strong plus.
  • Ability to translate business concepts into structured semantic representations.
  • Familiarity with Python for data work, automation, or supporting semantic workflows and AI.
  • Strong communication skills, comfortable collaborating with technical and non-technical partners.

Responsibilities

  • Partner with business subject matter experts to understand data domains and capture key concepts, relationships, and definitions.
  • Design, maintain, and evolve ontologies, taxonomies, and semantic models aligned to real-world business processes.
  • Build and manage knowledge graphs that standardize meaning across datasets and systems.
  • Develop and maintain RDF-based representations and semantic relationships using established semantic web standards.
  • Ensure semantic models remain consistent, extensible, and understandable as business needs evolve.
  • Collaborate with data and platform teams to integrate semantic models into data platforms, while publishing and documenting reusable semantic artifacts and best practices.

Skills

Semantic modeling
Ontology development
Communication
Python for data
Business concept mapping

Education

Bachelor's degree or equivalent

Tools

RDF/OWL
Neo4j
GraphRAG

Job description

Location: NYC, NY (Day 1 Onsite with Hybrid)

Duration: Long Term Contract

Job Responsibilities:
  • Partner with business subject matter experts to understand data domains and capture key concepts, relationships, and definitions.
  • Design, maintain, and evolve ontologies, taxonomies, and semantic models aligned to real-world business processes.
  • Build and manage knowledge graphs that standardize meaning across datasets and systems.
  • Develop and maintain RDF-based representations and semantic relationships using established semantic web standards.
  • Ensure semantic models remain consistent, extensible, and understandable as business needs evolve.
  • Collaborate with data and platform teams to integrate semantic models into data platforms, while publishing and documenting reusable semantic artifacts and best practices.
What You'll Bring to the Role:
  • At least 6 years of professional experience with hands-on work in semantic modeling, knowledge graphs, or ontology development and a Bachelor's degree or equivalent practical experience.
  • Practical experience designing and applying ontologies or semantic models in real-world data environments.
  • Working knowledge of semantic web technologies (e.g., RDF, RDFS, OWL) and modeling complex data relationships.
  • Experience with Knowledge Graph platforms and tooling (e.g., Neo4j) and modern graph-enabled AI approaches such as GraphRAG is a strong plus.
  • Ability to translate business concepts into structured semantic representations.
  • Familiarity with Python for data work, automation, or supporting semantic workflows and AI.
  • Strong communication skills, comfortable collaborating with technical and non-technical partners.
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