Senior Graph Database/Semantic Data Architect

Eleks

$100K — $130K *
US-AnywhereRemote in Canada
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in Data Architecture or Enterprise Data Engineering
  • 3+ years designing Graph Database solutions
  • Strong experience with graph technologies like Neo4j and Amazon Neptune
  • Deep understanding of RDF, OWL, SPARQL, and ontology design
  • Experience creating enterprise Knowledge Graphs or Semantic Data Models
  • Strong SQL skills and relational database experience
  • Experience integrating graph databases with cloud environments

Responsibilities

  • Design enterprise graph database architecture and semantic data models
  • Define ontology strategies and knowledge graph structures
  • Lead architecture decisions for graph technologies
  • Collaborate with AI engineers on LLM and reasoning use cases
  • Design data integration patterns for structured and unstructured data
  • Define best practices for graph data modeling and governance
  • Mentor engineering teams on graph technologies

Benefits

  • Flexible work arrangements with a focus on work-life balance
  • Opportunities for professional development and continuous learning
  • Access to cutting-edge technology and projects
  • Collaborative and innovative work environment
  • Health and wellness support programs
Full Job Description
ELEKS is looking for a Senior Graph Database / Semantic Data Architect in Canada.

Alberta-based candidates are strongly preferred (Calgary or Edmonton). Canada-based candidates will also be considered.

REQUIREMENTS

  • 8+ years of experience in Data Architecture or Enterprise Data Engineering
  • 3+ years of hands-on experience designing Graph Database solutions
  • Strong experience with Neo4j, Amazon Neptune, TigerGraph, Ontotext GraphDB or similar graph technologies
  • Deep understanding of RDF, OWL, SPARQL, property graph models, semantic web technologies, and ontology design
  • Experience designing enterprise Knowledge Graphs or Semantic Data Models
  • Strong SQL skills and experience with relational databases
  • Experience integrating graph databases with modern data platforms and cloud environments (AWS, Azure or GCP)
  • Knowledge of Digital Twin concepts is considered a strong advantage
  • Experience collaborating with AI/ML teams
  • Excellent stakeholder communication and architecture documentation skills
  • Upper-Intermediate or higher level of English


RESPONSIBILITIES

  • Design enterprise graph database architecture and semantic data models
  • Define ontology strategy and knowledge graph structure
  • Lead architecture decisions around graph technologies and semantic data management
  • Collaborate with AI engineers to support LLM and reasoning use cases
  • Design scalable data integration patterns across structured and unstructured data
  • Define best practices for graph data modeling, governance, and performance
  • Support client discovery sessions and technical workshops
  • Mentor engineering teams on graph technologies
  • Produce architecture documentation and technical roadmaps

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