FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Ontology Engineering and Semantic Web technologies, with a strong focus on building enterprise ontologies and semantic layers. Proficient in translating complex business rules into structured semantic models while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Ontology EngineeringSemantic Web TechnologiesPython ProgrammingGraph DatabasesEnterprise Ontologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
OWLRDFRDFSSHACLSPARQLSKOSSemantic StandardsDomain OntologiesSemantic ModelsData Science
Soft Skills
Excellent Communication
Tools & Technologies
DatabricksGraphRAG PipelinesRDF TriplestoresProperty GraphsOperational CRM
Industry Keywords
Life SciencesHealthcareFinanceSupply Chain
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Design, develop, and maintain formal domain ontologies, taxonomies, and semantic schemas using OWL, RDF, RDFS, and SHACL
- Translate complex business rules, domain concepts, and entity relationships into structured semantic models
- Collaborate with Knowledge Graph Engineers and Agentic AI Engineers to ground LLM workflows and GraphRAG pipelines in trusted enterprise context
- Establish ontology governance, versioning standards, and validation rules across cross-functional data sources
- Align enterprise semantic layers with Databricks analytical platforms and operational CRM ecosystems
Requirements
What you’ll need- 5+ years of experience in Ontology Engineering, Semantic Web technologies, or Knowledge Graph-focused Data Science
- Hands-on expertise with semantic standards and query languages (OWL, RDF, SPARQL, SHACL, SKOS)
- Proven experience building enterprise ontologies or semantic layers for complex domains (e. g., Life Sciences, Healthcare, Finance, or Supply Chain)
- Strong programming skills in Python
- Familiarity with graph databases (e. g., RDF triplestores or property graphs) and knowledge graph workflows
- Excellent communication skills to elicit domain knowledge from business stakeholders and translate it into formal specifications
