Job Description
ELEKS is looking for a Senior Data Architect (PostgreSQL + Graph Databases) 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
- Expert knowledge of PostgreSQL architecture, optimization, and data modeling
- Experience designing large-scale relational data platforms
- Experience working with Graph Databases (Neo4j, Neptune, TigerGraph, etc.)
- Strong knowledge of data integration, ETL/ELT processes, and modern data platforms
- Experience with cloud-native database services
- Familiarity with semantic data modeling is a plus
- Experience supporting AI and analytics platforms
- Strong communication and stakeholder management skills
- Upper-Intermediate or higher level of English
RESPONSIBILITIES
- Design scalable enterprise data architecture using PostgreSQL and graph technologies
- Define logical and physical data models
- Lead database modernization initiatives
- Optimize database performance and scalability
- Define integration strategies between relational and graph databases
- Collaborate with AI and platform engineering teams
- Support technical discovery and solution design
- Create architecture standards and governance documentation
- Guide engineering teams throughout implementation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
