Design and lead enterprise graph database and semantic data architectures, define ontologies and knowledge graph structures, integrate graph systems with cloud platforms, support LLM and AI use cases, run discovery workshops, document architecture, and mentor engineering teams.
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.
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, accountability, and trust are essential. The platform supports intelligent decision-making across strategic planning, workforce intelligence, and organizational operations, helping customers leverage AI without compromising security, compliance, or control over their data.
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
Similar Jobs
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Lead pillar-level production for a large-scale AAA game: translate priorities into sprint plans, run Agile rituals, manage risks/dependencies, keep backlogs actionable, coordinate milestones and pipelines, remove blockers, and foster cross-team collaboration and delivery confidence.
Top Skills:
AgileJIRAKanbanScrum
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Provide executive-level administrative support to VP and EVP/GM for Canadian TV Distribution: manage complex calendars, coordinate domestic and international travel logistics, prepare expenses and meeting materials, handle confidential matters, liaise with stakeholders, organize events and filing systems, and support ad hoc projects to ensure operational efficiency.
Top Skills:
ExcelExpense Management SystemsMicrosoft OutlookPowerPoint
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Support creation, tracking, and delivery of game assets by building schedules, tracking progress and dependencies, coordinating priorities across disciplines, facilitating reviews and approvals, maintaining production tools, and escalating risks to production leadership to ensure milestone readiness.
Top Skills:
Build Tracking SystemsConfluenceGitJIRAMiroPerforce
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
