Apply now

Posted 28 days ago

Senior Data Engineer - Temporary

@ ARC'TERYX

North Vancouver, British Columbia

HybridFull-time5+ years experience
Apply now
SIGNALS

Overview

ARC'TERYX is hiring a Senior Data Engineer, full-time, to lead the design of complex data architectures for supply chain analytics. The work covers scalable cloud data platforms, migrations, data governance and mentoring engineers. The role is based in North Vancouver, open to hybrid or remote work, and offers a salary of CAD$94,000 to CAD$124,000.

Responsibilities:

  • Design and implement scalable data architectures on Azure Databricks
  • Lead migrations from legacy systems to cloud-native platforms
  • Optimize ETL/ELT workflows for structured and semi-structured data
  • Establish data quality, monitoring and governance frameworks
  • Mentor junior engineers and lead architecture reviews

Requirements summary:

  • 5 to 8 years of data engineering experience
  • Azure, Databricks and PySpark expertise
  • Advanced SQL and Python skills
  • Experience with NoSQL databases such as Cosmos DB
  • Knowledge of CI/CD, data mesh and dimensional modeling

Tools & skills

Benefits mentioned

Health insuranceDentalVisionRetirement planEmployee assistancePaid time offParental leaveWellnessEmployee discountStock options
Source and dates

Employer career site / ATS feed · lever

Employer posting date
2026-10-09
First seen by our source
2026-10-09
Source record updated
2026-10-09

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Experience5+ years
Hours per week40 (estimated)
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
Perks mentionedGenerous paid time off, Generous parental leave, Retirement plan, Performance bonus, Stock or equity, Employee discount, Wellness

Summary and details written by AI from the posting; the employer’s posting is the authority.

ARC'TERYX

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

A community of problem-solvers whose spirit of “Leave It Better” and respect for the outdoors infuses everything we do.

Full company description

Arc’teryx is a Canadian company born in the Coast Mountains, where our passion for the outdoors drives us to push the boundaries of performance and durability. We design gear that not only survives extreme conditions but elevates your experience in them. With over 2,400 retail locations worldwide, our impact goes beyond gear—it’s about designing for a better future. What truly sets Arc'teryx apart is the community behind the "Bird." We're more than a team—We're a collective of problem-solvers, makers and explorers, united by a spirit of 'Leave It Better' and a deep respect for the outdoors. From Vancouver to Tokyo, Munich to New York, our teams and culture are bound by this shared purpose. If you're a creative thinker, a skilled maker or a gear expert who thrives on helping others connect with the outdoors, this is where your passion can find its home. Welcome to Arc'teryx, where we design for the wild and for those bold enough to venture into it.

LinkedIn followers
345,063
People associated on LinkedIn
3,325
Reported office locations
  • 110 - 2220 Dollarton Hwy, North Vancouver, BC V7H 1A8, CA
Business categories
  • Consumer Goods
  • Sporting Goods
  • Retail
  • Outdoors
  • Manufacturing
Other recorded names
  • ARC'TERYX
  • Amer Sports
  • Arc'teryx Equipment
Specialties
  • Innovation
  • Outdoor Equipment
  • Climbing Gear
  • Mountaineering
  • Backcountry skiing
  • Craftsmanship
  • Manufacturing
  • Research and Development
  • Design
  • Outerwear
  • Retail
  • Ecommerce
  • Consumer Goods
  • and Outdoors
Profile identifies a recruitment agency
No
Reported total investment
100,000,000

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Arc’teryx is a Canadian company born in the Coast Mountains, where our passion for the outdoors drives us to push the boundaries of performance and durability. We design gear that not only survives extreme conditions but elevates your experience in them. With over 2,400 retail locations worldwide, our impact goes beyond gear—it’s about designing for a better future. What truly sets Arc'teryx apart is the community…

FieldValue
IndustryApparel & Fashion
Company size1,001-5,000 employees
HeadquartersNorth Vancouver, BC
Organization typePrivately Held
Year founded1989
SpecialtiesInnovationOutdoor EquipmentClimbing GearMountaineeringBackcountry skiingCraftsmanshipManufacturingResearch and DevelopmentDesignOuterwear
Open jobs on Jobsy103
LinkedInView page
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.

If 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.

Similar jobs

  • Senior Data Engineer

    Vancouver, BC

    Capgemini

    Capgemini needs candidates with strong or expert Spark (PySpark) skills, hands-on pipeline development experience in Azure, and experience with orchestration tools such as ADF or Airflow. They also need SQL and denormalized data modeling skills for big data systems.

    PySpark, Databricks, Jupyter Notebooks

    Senior Data Engineer - Vancouver

    Vancouver, BC

    Capgemini

    Candidates need strong, expert-level Spark (PySpark) skills, hands-on Azure data pipeline experience, and knowledge of orchestration tools such as ADF or Airflow. Experience with SQL, denormalized data modeling for big data, and Jupyter, Colab or Databricks is also expected.

    Spark, PySpark, Databricks, Jupyter Notebooks, Airflow

  • Data Engineer (Intermediate)

    Kelowna, BC

    KF Aerospace

    2+ YOECandidates need a degree or diploma in computer science or a related field, or equivalent experience, plus 2 to 5 years in data engineering or data warehousing. Strong SQL, SQL Server, Microsoft Fabric, Azure Synapse and Power BI skills are required.

    SQL Server, Microsoft Fabric, Azure Synapse, Power BI, Azure Data Factory, Azure DevOps

  • Data Engineer

    Vancouver, BC
    Full Time

    The Semios Group

    3+ YOECandidates need 3 to 5 years of data engineering experience on cloud platforms and production pipelines. They must know advanced SQL, Python or Node, at least one data warehouse, and workflow tools such as Prefect or Dagster.

    BigQuery, Redshift, Snowflake, Postgres, Cloud SQL, Cloud Run

  • Data Engineer, Amazon Prime

    Vancouver, BC
    Full Time

    Amazon Development Centre Canada ULC

    3+ YOECandidates need at least three years of data engineering experience, including data modelling, warehousing and building ETL pipelines. They also need a track record of processing large datasets and extracting value from them. Experience with AWS services such as Redshift, S3, Glue, EMR and Kinesis is preferred.

    AWS Glue, Amazon EMR, Amazon S3, AWS Lambda, Amazon DynamoDB, Redshift

  • Senior Data Engineer, Microsoft Fabric - 6 month contract-(Hybrid)

    Vancouver, BC +1
    Full Time

    Central 1 Credit Union

    8+ YOECandidates need 8+ years of data engineering experience and 2+ years of hands-on Microsoft Fabric work on enterprise solutions. They need deep skills in OneLake, Lakehouse, Data Warehouse, Azure Data Factory, Spark, PySpark, SQL, dbt, Azure DevOps and Git.

    Microsoft Fabric, Azure Data Factory, Power BI, Azure DevOps, Git, dbt

  • Data Engineer, RBC Amplify 2027, Vancouver

    Vancouver, BC
    Full Time

    Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.

    Stock listing: TSX:RY · NYSE:RY · Source checked: 2026-11-02

    Candidates need to be enrolled in a post-secondary program graduating between August 2027 and June 2028, with programming, database and data-science experience. They also need strong communication and teamwork skills and experience with machine learning, NLP, LLMs, APIs or data visualization tools.

    Research, Collaboration, Teamwork, Critical thinking, Communication skills, Leadership

  • Data Engineer

    Burnaby, BC
    $56/hrContract

    Insight Global: Insight Global is an international talent and consulting company that delivers business outcomes in an ever-changing world.

    2+ YOEInsight Global needs candidates with 2+ years of recent hands-on experience with Snowflake, dbt and Python, plus strong SQL skills. Candidates should also have CI/CD and GitHub experience and be able to work well with business stakeholders.

    Snowflake, dbt, Python, GitHub, Looker, Power BI

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

Pro tip: add remote jobs to widen your search.

Exclude locations

Workplace type

Company jobs in these results

These are this company’s jobs loaded in your current search. The company may have more openings.