Director, Enterprise Data & Integration

Role overview

Strategy, architecture, and delivery

• Develop enterprise data strategy, roadmap, operating model, and target-state architecture aligned with business priorities.
• Define data and integration architecture, information management standards, reference models, and scalable approaches for APIs, pipelines, metadata, lineage, master/reference data, and quality.
• Lead platform strategy, technology evaluation, modernization, simplification, and standardization across enterprise data and integration.
• Build and lead a small Data Engineering team; support planning, prioritization, delivery, and cross-functional partnerships.
• Establish governance, architecture reviews, standards, and decision frameworks; reduce technical debt and promote reuse and continuous improvement.

Required qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Management, or related discipline, or equivalent experience.
• 10+ years in enterprise data architecture, integration architecture, data engineering, enterprise architecture, or related disciplines.
• Demonstrated experience developing enterprise data strategies, governance frameworks, architecture standards, and technology roadmaps.
• Experience leading technical teams and influencing senior business and technology stakeholders.
• Strong understanding of enterprise data management, integration, governance, analytics, cloud platforms, security, and information management.
• Experience working with or familiarity with AI/ML models.
• Must be eligible to work in Canada and meet applicable security assessment and clearance requirements.

Preferred qualifications

• MuleSoft Anypoint Platform experience, including API-led connectivity, reusable integration services, event-driven architecture, and integration governance, is preferred.
• Experience with Snowflake, Microsoft Fabric, Azure Data Factory, Synapse, Databricks, Purview, AWS data services, or comparable platforms is preferred.
• Experience supporting analytics, reporting, AI/ML, automation, and digital transformation initiatives is preferred.
• Familiarity with TOGAF, DAMA-DMBOK, COBIT, ITIL, or comparable frameworks is preferred.

Compensation and benefits

• Hiring range is CAD 150,000–CAD 200,000; the role is eligible for a management incentive plan.
• The posting describes full-time benefits including health coverage, pension, flexible time off, learning support, and other employee programs.