About The Role

Your Opportunity at ARC’TERYX:As a Manager, Data Engineering at Arc'teryx, you'll lead a team responsible for our core data platform (including Databricks administration, ingestion frameworks, and QA frameworks) while ensuring technical excellence and delivery of data solutions. You'll guide your team's technical direction, develop engineering talent, and collaborate with stakeholders to deliver robust, reliable data infrastructure. You'll balance hands-on technical leadership with people management responsibilities, ensuring your team is well-positioned to scale and support our data-driven initiatives.

This position is based out of our North Vancouver office and is open to hybrid remote work. Candidates must be eligible to work in Canada.

Meet Your Future Team:The data platform team builds and maintains the data infrastructure (including our Databricks environment, ingestion frameworks, and QA frameworks) that powers analytics, reporting, and data-driven decision making across Arc'teryx's digital platforms, retail operations, and business units. We work with cross-functional agile squads to develop reliable data pipelines, improve data quality, build self-serve analytics tools for our business stakeholders, and ensure timely access to accurate data for our analysts and data scientists.

If you were in the Manager, Data Engineering role now, here are some of the core activities you will be doing

Leading and developing a team of data engineers while maintaining technical involvement
Guiding technical decisions and architecture for your team's projects
Driving implementation of data engineering best practices and standards
Overseeing administration, scaling, and governance of our Databricks platform and the data pipelines built on it
Building and maintaining ingestion frameworks that onboard and standardize new data sources across the business
Collaborating with product managers and stakeholders to prioritize data initiatives
Managing team capacity, sprint planning, and delivery commitments
Coaching and mentoring data engineers in their technical and professional growth
Supporting hiring and onboarding of new team members
Establishing and maintaining QA frameworks to ensure data quality and reliability standards are met
Driving adoption of new tools and technologies within your team
Managing performance and career development for direct reports
Demonstrating Arc'teryx leadership code (Lead Self, Lead Others) in daily work

Here are some of the things you could be working on in the future

Building and scaling high-performing data engineering teams to support organizational growth
Implementing structured career development frameworks for data engineering professionals
Leading the technical strategy for data platform modernization initiatives
Developing automated testing and CI/CD frameworks for data pipeline reliability
Establishing cross-functional collaboration models between data and business teams
Standardizing data engineering practices across multiple development teams
Are you our next Manager, Data Engineering?
You have 8+ years of data engineering experience with 4+ years of team leadership
You have hands-on experience managing data platform infrastructure, such as Databricks, ingestion frameworks, and QA frameworks
You have a combined strong technical background with emerging leadership capabilities
You have experience leading technical projects and mentoring engineers
You have excellent communication and stakeholder management skills
You are passionate about building strong engineering teams
You remain highly flexible and adaptable when faced with ambiguity
Your passion for technical leadership is paralleled by your passion for getting outside and living it