Lead Knowledge Engineer - Semantic Web Technologies
Core
Lead the development and implementation of ontologies, taxonomies, knowledge graphs, and semantic artefacts to drive organizational data governance and interconnected data strategies.
Role type
Lead Knowledge Engineer (Semantic Web)
Builds
Next-generation data architecture, tooling, and semantic artefacts for interconnected data layers.
Domain
Data governance, semantic web, knowledge graphs, enterprise data integration.
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
Ontology development, semantic web technologies (RDF, RDFS, OWL, SPARQL), knowledge graph construction, metadata management, data integration, cloud services utilization, mainstream programming (Python, Java, JavaScript), agile development.
Preferred skills
Advanced studies in computer science, knowledge engineering, or information sciences.
Technologies
RDFLib, triple stores, VocBench, TopQuadrant, PoolParty, AWS, Google Cloud, Azure.
Responsibilities
Develop and enhance ontologies and knowledge graphs for interconnected data; Design and prototype solutions to scale semantic artefact construction; Provide thought leadership for strategic semantic projects; Influence the semantic vision and roadmap; Create linked metadata schemes to harmonize semantics; Analyze and implement knowledge organization strategies.
Seniority
Senior, hands-on IC with strategic influence
