Semantic Data Architect (Ontologist, Knowledge Graph) (Remote)
Job at a glance
Roles & Responsibilities Design and build ontologies (knowledge models) that organize Dell's business information in a structured way. Connect data from different systems so that all information is consistent and easy to understand. Create relationships between products, customers, services, and other business data to improve search and AI capabilities. Work closely with business teams to understand their requirements and convert them into structured knowledge models.
Ensure data is organized according to industry standards such as RDF, OWL, and SPARQL. Improve enterprise search, analytics, and AI-driven applications by maintaining accurate knowledge structures. Collaborate with developers, data engineers, AI teams, and business stakeholders on knowledge management projects. Manage and update ontologies as new products, services, and business information are introduced.
Support knowledge graph and metadata initiatives to improve data quality and consistency. Use graph databases and ontology management tools (where applicable) to maintain semantic data models. Ideal Candidate Strong Ontologist Profile with deep semantic (RDF) ontology experience in complex enterprise environments Mandatory (Experience 1) – Must have 7+ years of total experience, with 5+ years in semantic (RDF) ontology building/structuring for a complex/large enterprises Mandatory (Experience 2) – Must have a strong understanding of content and information management, data structures, and semantic metadata extraction Mandatory (Tech skill 1) – Must have strong hands-on experience in taxonomy design, structuring, and lifecycle management Mandatory (Tech skill 2) – Must have strong working experience of at least one ontology/TOMS tool such as PoolParty (Semantic Web), TopBraid/TopQuadrant EDG, or GraphDB (Ontotext.
Mandatory (Tech skill 3) –Must be familiar with W3C industry standards, including RDF, RDFS, SPARQL and OWL Mandatory (Tech skill 4) – Must have hands-on working experience with at least one graph database such as Neo4j, GraphDB (Ontotext), Neptune, or Stardog Mandatory (Tech skill 5) – Must have practical experience with SHACL for constraint and validation work, alongside SKOS Mandatory (Tech skill 6) – Must have hands-on exposure to a cloud and infrastructure stack, including AWS, Docker, or Kubernetes Mandatory (Communication) – Must be fluent in English, with strong stakeholder management skills to operate across a complex, multi-team environment.many stakeholders.
Mandatory (Note) – Must be available to work during US time zones for at least 4 hours per day Preferred (Tech skill 1) – Should have experience with NLP strategies and tooling for optimisation, such as spaCy or NER-based metadata extraction Preferred (Education) – Degree in Computer Science or Library Science, preferably with a minor / concentration / certificate in Information Management or Library Automation