Data Architect — Enterprise Data & Governance Lead

Sonepar Canada; Surrey; On-site; CAD 110,000 - 150,000; Full time

Benefits offered by this job

Flexible benefits program

RRSP matching

Employee Assistance Program

Tuition Reimbursement

Career path

Job summary

Sonepar Canada is seeking a Data Architect to design and evolve enterprise data architecture, bridging business, data governance and IT teams to ensure trusted, high-quality data across systems.

You will translate business requirements into scalable, governed data structures, own governance deliverables for domains, contribute to canonical data models, and align with privacy, security, and enterprise architecture strategies.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Proven experience in data architecture, data modelling, or related roles.
• Experience with data governance or data management frameworks.
• Strong communication and stakeholder engagement skills.

Responsibilities

• Design and maintain conceptual, logical, and physical data models in alignment with enterprise standards.
• Translate business requirements into scalable and governed data structures.
• Contribute to canonical data models across domains (e.g., customer, product).
• Ensure alignment with integration, analytics, and AI use cases.
• Own and drive data governance deliverables for assigned domains or initiatives.
• Participate in governance forums and influence decisions.
• Contribute to data catalog solutions and governance tooling.
• Define and validate data flows between systems with governance alignment.
• Support governance adoption across projects.

Skills

Data modelling

SQL

Relational DBs

Data governance

Stakeholder communication

Bilingual English/French

Education

Bachelor's degree in Computer Science

Tools

Data catalog

Governance tools

Job description

Sonepar Canada is seeking a Data Architect to design and evolve enterprise data architecture, bridging business, data governance and IT teams to ensure trusted, high-quality data across systems.

You will translate business requirements into scalable, governed data structures, own governance deliverables for domains, contribute to canonical data models, and align with privacy, security, and enterprise architecture strategies.