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Added 23 days ago
Health Care Aide (2026-1120)
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Calgary, AB
…sclerosis or a brain injury, currently requiring the full-time support of a continuing care…
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A
Senior Data Engineer - Temporary
ARC'TERYX
North Vancouver, BC
- Full-time
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).
Added 23 days ago
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ARC'TERYX

Senior Data Engineer - Temporary

North Vancouver, BC, Canada

The salary range for this role is CAD$94,000 - CAD$124,000 · Full-time

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Job details

Pay: The salary range for this role is CAD$94,000 - CAD$124,000
Job type: Full-time
Posting language: English
Posted: Oct 9, 2026

Original job description

Your Opportunity at ARC’TERYX:

As a Senior Data Engineer, you will lead the design and implementation of complex data architectures that drive critical business decisions across the organization. You'll architect scalable data solutions, optimize performance of data systems, and be a technical leader who mentors other engineers.

You'll leverage your deep expertise in data engineering to solve complex challenges while driving best practices and innovation. You'll collaborate with cross-functional stakeholders to translate business requirements into technical solutions, lead architectural decisions, and ensure our data infrastructure scales with business needs. Your influence will extend beyond your immediate team as you help shape our data engineering culture and practices.

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 Supply Chain Analytics Squad builds and maintains data pipelines that power analytics and drive data-informed decision-making for our supply chain partners. We work in an agile, collaborative environment with data platform, architect, ERP, and technology teams to develop scalable analytics solutions. Our work includes integrating new data sources, performing complex transformations, enhancing data quality, and delivering dashboards and data products tailored to business needs.

\nIf you were in the Senior Data Engineer role now, here are some of the core activities you would be doing:

Designing and implementing scalable data architectures (batch/streaming, lakehouse) using Azure Databricks, and PySpark
Leading migrations from legacy systems to cloud-native platforms, ensuring minimal downtime and maximal performance
Advocating for data mesh principles and dimensional modeling best practices
Optimizing ETL/ELT workflows for structured and semi-structured data (e.g., Cosmos DB integrations)
Establishing data quality frameworks, monitoring systems, and governance policies aligned with compliance standards
Partnering with SecOps/FinOps teams to enforce security protocols and cost controls
Mentoring junior engineers through code reviews, technical workshops, and hands-on guidance
Leading cross-functional design reviews and backlog prioritization for critical initiatives
Evaluating emerging tools (e.g., GenAI pipelines, real-time processing) and driving proof-of-concept projects
Embodying Arc’teryx’s leadership code (Lead Self, Lead Others, Lead Business) through accountability, innovation, and mentorship

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

Leading the implementation of data mesh architecture across the organization
Designing advanced data quality and observability frameworks to ensure data reliability
Establishing enterprise-wide data governance standards and implementation patterns
Creating automated tooling for self-service data infrastructure provisioning
Mentoring junior engineers and shaping the technical culture of the data organization
Building specialized data processing solutions for complex business domains
Optimizing cloud infrastructure for performance, cost, and sustainability
Collaborating with data scientists to enable ML-ready datasets and real-time analytics
Defining CI/CD workflows, infrastructure-as-code (Terraform), and SDLC best practices

Are you our next Senior Data Engineer?

You have 5–8 years of experience in data engineering, with expertise in cloud platforms (Azure preferred) and modern tools (Databricks, PySpark)
You have advanced SQL and Python skills, with hands-on experience in large-scale ETL/ELT, data lakes, and NoSQL databases (Cosmos DB)
You have a proven track record in optimizing pipelines, implementing governance, and leading system migrations
You have strong knowledge of DevOps practices (CI/CD), data mesh concepts, and dimensional modeling
You have experience mentoring teams, leading architecture reviews, and influencing technical roadmaps
You are able to communicate complex technical strategies to stakeholders and executives
You have a passion for outdoor adventures and alignment with Arc’teryx’s values of sustainability and innovation

Compensation:

The salary range for this role is CAD$94,000 - CAD$124,000

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

You will lead the design and implementation of scalable data architectures and pipelines to support supply chain analytics and business decision-making. Additionally, you will mentor junior engineers, drive technical innovation, and collaborate with cross-functional teams to ensure data quality and infrastructure performance.

Requirements

Candidates must have 5–8 years of experience in data engineering with strong expertise in Azure, Databricks, PySpark, and modern data modeling practices. You must also possess advanced SQL and Python skills, along with a proven track record in leading system migrations and mentoring technical teams.

Skills

Azure Databricks
PySpark
Data engineering
SQL
Python
ETL/ELT
Data lakes
NoSQL
Cosmos DB
DevOps
CI/CD
Data mesh
Dimensional modeling
Cloud architecture
Data governance
Mentorship

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Azure
Databricks
PySpark
SQL
Python
ETL
ELT
Data Lakehouse
Cosmos DB
Data Mesh
Dimensional Modeling
DevOps
CI/CD
Terraform
Infrastructure-as-Code
Data Governance
Data Quality
Observability
Supply Chain Analytics
Cloud-native
GenAI
Real-time processing
SecOps
FinOps
Azure Databricks
NoSQL
Data Pipelines
Architecture
Mentorship

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