Senior Graph Database/Semantic Data Architect

2 мес. назад

CanadaWorldwideSeniorHybrid

Senior Graph Database / Semantic Data Architect role focused on AI platform development and data governance in Canada.

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.   ABOUT CLIENT Our customer is building a next-generation AI platform that enables organizations to securely develop, govern, and operationalize artificial intelligence while ensuring that sensitive data and organizational knowledge remain fully under their control. The platform combines advanced AI capabilities with enterprise-grade governance, security, and data sovereignty to support mission-critical decision-making. The solution serves government organizations and enterprise customers operating in highly regulated and security-sensitive environments, where reliability, accountabilit

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

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