Semantic Data Architect (Ontologist, Knowledge Graph)

Roles & Responsibilities

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  Design and build ontologies (knowledge models) that organize Dell's business information in a structured way.

  
  


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  Connect data from different systems so that all information is consistent and easy to understand.

  
  


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  Create relationships between products, customers, services, and other business data to improve search and AI capabilities.

  
  


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  Work closely with business teams to understand their requirements and convert them into structured knowledge models.

  
  


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  Ensure data is organized according to industry standards such as RDF, OWL, and SPARQL.

  
  


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  Improve enterprise search, analytics, and AI-driven applications by maintaining accurate knowledge structures.

  
  


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  Collaborate with developers, data engineers, AI teams, and business stakeholders on knowledge management projects.

  
  


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  Manage and update ontologies as new products, services, and business information are introduced.

  
  


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  Support knowledge graph and metadata initiatives to improve data quality and consistency.

  
  


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  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 experience with graph databases, taxonomies, and NLP strategies for optimization


• Mandatory (Tech skill 2) – Must have strong working experience of ontology/TOMS tools such as PoolParty (Semantic Web), TopQuadrant EDG, or GraphDB (Ontotext)


• Mandatory (Tech skill 3) – Must be familiar with W3C industry standards, including SPARQL and OWL.


• 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 (Education) – Must have a degree in Computer Science or Library Science, preferably with a minor / concentration / certificate in Information Management or Library Automation


• Preferred (Tech skill 3) – Understanding of content development and search/retrieval tools.

Preferred

• Preferred (Education) – Must have a degree in Computer Science or Library Science, preferably with a minor / concentration / certificate in Information Management or Library Automation


• Preferred (Tech skill 3) – Understanding of content development and search/retrieval tools.