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Semantic Data Architect (Ontologist, Knowledge Graph)
Semantic Data Architect (Ontologist, Knowledge Graph)
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Semantic Data Architect (Ontologist, Knowledge Graph)

tabbasum shaikh's profile picture
Posted by tabbasum shaikh
7 - 10 yrs
₹27L - ₹40L / yr
Remote only
Skills
RDF (Resource Description Framework)
OWL (Web Ontology Language)
SPARQL (Query Language for RDF)
Ontology Design and Development

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


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About TalentXO

Founded :
2018
Type :
Product
Size :
20-100
Stage :
Profitable

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