About the role

Data engineering manager leading Arc’teryx’s Databricks platform, ingestion, and QA infrastructure. Developing engineers and delivering reliable data solutions for retail, digital, and business operations.

Responsibilities

Lead and develop a team of data engineers while maintaining technical involvement
Guide technical decisions and architecture for team projects
Drive implementation of data engineering best practices and standards
Oversee administration, scaling, and governance of the Databricks platform and its data pipelines
Build and maintain ingestion frameworks for onboarding and standardizing new data sources
Collaborate with product managers and stakeholders to prioritize data initiatives
Manage team capacity, sprint planning, and delivery commitments
Coach and mentor data engineers in technical and professional growth
Support hiring and onboarding of new team members
Establish and maintain QA frameworks for data quality and reliability
Drive adoption of new tools and technologies
Manage performance and career development for direct reports
Build and scale high-performing data engineering teams
Lead technical strategy for data platform modernization
Develop automated testing and CI/CD frameworks for data pipeline reliability
Establish cross-functional collaboration models between data and business teams
Standardize data engineering practices across development teams

8+ years of data engineering experience
4+ years of team leadership
Hands-on experience managing data platform infrastructure, such as Databricks, ingestion frameworks, and QA frameworks
Strong technical background with emerging leadership capabilities
Experience leading technical projects and mentoring engineers
Excellent communication and stakeholder management skills
Passion for building strong engineering teams
Flexibility and adaptability when faced with ambiguity
Candidates must be eligible to work in Canada