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Added 2 months ago
AE
Manager, Data Engineering
Arc'teryx Equipment
North Vancouver, BC
- Full-time
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…
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Arc'teryx Equipment

Manager, Data Engineering

North Vancouver, BC, Canada

Compensation: The salary range for this role is CAD$108,000 - CAD$142,000 · Full-time

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Job details

Pay: Compensation: The salary range for this role is CAD$108,000 - CAD$142,000
Job type: Full-time
Experience: You have 8+ years of data engineering experience with 4+ years of team leadership
Posting language: English
Posted: Aug 24, 2026

Original job description

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

Compensation: The salary range for this role is CAD$108,000 - CAD$142,000

Total Rewards

Most new team members join between the start and midpoint of the range, where you can contribute right away while continuing to grow your craft, your collaborations, and your impact at Arc’teryx. This range reflects market alignment and the scope of the role. Individual pay is determined by your skills, experience, and level of responsibility.

We’re committed to fair, equitable, and competitive pay, reviewed regularly to ensure internal alignment and market relevance. Transparency is part of how we follow through on our commitments and how we honour the value you bring to our team.

In addition to base pay, Arc’teryx supports people through benefits designed to sustain both work and life:

Health & wellbeing - Extended health, dental, and vision coverage, including mental health support, fertility benefits, gender-affirming care and a 24/7 Employee Assistance Program (EAP).
Financial wellbeing - RRSP matching and eligibility for Arc'teryx Annual Incentive Plan and access to Employee Stock Purchase program (ESPP) where applicable.
Time & Flexibility - Paid time off, wellness time, and No Wasted Day program (dedicated paid days to get outside & explore).
Family support - Parental leave top-up and a nesting period for new parents.
Growth, community & gear - Professional development opportunities, Arc'teryx Academies (outdoor skill-building events), Employee Belonging Councils, and access to employee discounts and Pro Deals (exclusive discounted pricing on gear).

*Eligibility for certain programs may vary by role.

Equal Opportunity

Arc’teryx is committed to actively creating and fostering a culture of inclusivity where voices are heard, people are seen, and values are respected. We care about the uniqueness of our applicants, employees, and guests, and we do so in a safe space fueled by curiosity and acceptance.

Creating an inclusive workplace is connected to our core value Do Right while also having the added benefit of helping make our business better. We believe inclusion helps us to create a healthier, happier workplace, drive creativity and innovation, and reflect the communities where we operate.

All applicants, employees, and guests can expect equality of opportunity and fair treatment in alignment with our values.

Leave it Better

We believe that the mountains transform us, that how we adventure matters, and that there’s always a better way.

Join us in creating positive change in ourselves, our communities, and the world.

Live it. Get out there - the mountains make us better

Disruptive evolution. In pursuit of better. Always.

Commit. We set bold objectives and see them through.

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More about this job

Responsibilities

Lead a team of data engineers to build and maintain the core data platform, focusing on Databricks administration and ingestion frameworks. Balance hands-on technical leadership with people management to deliver robust data infrastructure and support data-driven initiatives.

Requirements

Requires 8+ years of data engineering experience with at least 4 years in a leadership role. Must have hands-on experience managing data platform infrastructure like Databricks and possess strong communication and stakeholder management skills.

Skills

Data Engineering
Team Leadership
Databricks Administration
Data Pipeline Development
Ingestion Frameworks
QA Frameworks
Stakeholder Management
Technical Architecture
Sprint Planning
Mentoring
CI/CD
Data Governance
Agile Methodology
Capacity Management
Performance Management
Data Quality

Benefits

Extended health coverage
Dental coverage
Vision coverage
Mental health support
Fertility benefits
Gender-affirming care
Employee Assistance Program (EAP)
RRSP matching
Annual Incentive Plan
Employee Stock Purchase program (ESPP)
Paid time off
Wellness time
No Wasted Day program
Parental leave top-up
Nesting period for new parents
Professional development opportunities
Arc'teryx Academies
Employee Belonging Councils
Employee discounts
Pro Deals

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Data Engineering
Data Pipelines
Ingestion Frameworks
QA Frameworks
CI/CD
Agile
Data Governance
Data Infrastructure
Self-serve Analytics
Data Quality
Technical Strategy
Platform Modernization
Automated Testing
Retail Operations
Digital Platforms
People Management
Stakeholder Management
North Vancouver
Canada

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