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)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead design and rollout of a fit-for-purpose data governance program: manage data lifecycle, implement governance frameworks and tools, drive data catalogs/lineage, upskill stewards, define KPIs, and partner cross-functionally to improve data quality, compliance, and usability.
Top Skills:
AIData CatalogsData Governance ToolsData LineageMetadata ManagementSQL
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Sell SaaS licenses and generate new business through account and territory planning, prospect research, and field sales. Build C-suite relationships, lead cross-functional account strategies, advise on IT roadmaps and AI integration, identify specialists to win deals, negotiate contracts, and meet sales targets. Role requires travel and collaboration with solutions, success, partners, and marketing teams.
Top Skills:
AISaaSServicenow
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead end-to-end COGS and gross margin analysis across hardware and software product lines. Build scenario models, quantify cost-saving opportunities, and present defensible recommendations to C-suite. Tackle ambiguous executive questions, partner with data engineering, finance, and product to establish reliable datasets, and drive analytical best practices and documentation. Operate autonomously with high ownership.
Top Skills:
SQL
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
