Semantic Data Architect - Knowledge Graph
First seen by Alion on Jul 26, 2026.
Role & 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 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.
- 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.
Skills
Ontology Engineering, RDF, SparQL, Graph DBMS, Knowledge Graph, Data Architect, Semantic Modeling