North Vancouver, BC (Corporate)
Live, first seen by us 35 days agoCompensation: The salary range for this role is CAD$94,000 - CAD$124,000 Total RewardsRead the full posting
Employment type Full-time
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Candidates must be eligible to work in Canada
Design and implement scalable batch and streaming 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 frameworks, monitoring, and governance policies
Mentor junior engineers through code reviews and technical workshops
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
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
Mentoring junior engineers through code reviews, technical workshops, and hands-on guidance
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Day 35
Similar jobs usually come down between day 6 and day 56.
At Arcteryx.com, jobs usually come down by about day 33.
From 13,657 similar postings that came down, and 8 of Arcteryx.com’s. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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
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
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)
- 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?
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
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:
*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.
Full-time
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Compensation: The salary range for this role is CAD$94,000 - CAD$124,000 Total Rewards
North Vancouver, BC (Corporate)
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:
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: