Senior Graph Database, Semantic Data Architect

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About the role

  • Senior Graph Database Architect focused on designing graph database architecture for AI platform in Canada. Collaborating with AI/ML teams and mentoring engineering staff.

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

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

Job title

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudGoogle Cloud PlatformNeo4jSQL

Location requirements

HybridCalgaryCanada

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