Senior Data Engineer

Arc'teryx Equipment

. Lead the design and implementation of complex data architectures driving critical business decisions .

Posted 10/9/2026full-timeNorth Vancouver • CanadaSenior💰 CA$94,000 - CA$124,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data architectures, optimizing ETL/ELT workflows, and leading technical teams. Proficient in Azure Databricks, PySpark, and advanced SQL, with a strong focus on data governance and cloud-native solutions.

Highest-signal resume keywords

Data Architecture DesignAzure DatabricksPySparkETL/ELT OptimizationCI/CD Practices

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAdvanced SQLPythonData LakesNoSQL DatabasesCosmos DBData Mesh PrinciplesDimensional ModelingInfrastructure-as-CodeSDLC Best Practices

Soft Skills

Technical LeadershipMentoringCommunication

Tools & Technologies

AzureDatabricksETL ToolsData Quality FrameworksMonitoring Systems

Industry Keywords

Cloud PlatformsData GovernanceSupply Chain DataSecurity ProtocolsCost Controls

Tech Stack

Tools & technologies

AzureCloudERPETLNoSQLPySparkPythonSDLCSQL

About the role

Key responsibilities & impact

Lead the design and implementation of complex data architectures driving critical business decisions
Architect scalable data solutions and optimize data-system performance
Provide technical leadership and mentor other engineers
Translate business requirements into technical solutions with cross-functional stakeholders
Lead architectural decisions and scale data infrastructure with business needs
Design and implement scalable batch, streaming, and lakehouse architectures using Azure Databricks and PySpark
Lead migrations from legacy systems to cloud-native platforms
Advocate for data mesh principles and dimensional modeling best practices
Optimize ETL/ELT workflows for structured and semi-structured data, including Cosmos DB integrations
Establish data quality frameworks, monitoring systems, and governance policies
Partner with SecOps and FinOps teams on security protocols and cost controls
Lead design reviews and backlog prioritization
Evaluate emerging tools and drive proof-of-concept projects
Build pipelines, integrate data sources, perform transformations, enhance data quality, and deliver dashboards and data products for supply chain partners
Collaborate with data platform, architect, ERP, technology, and data science teams
Define CI/CD workflows, infrastructure-as-code, and SDLC best practices

Requirements

What you’ll need

5–8 years of experience in data engineering
Expertise in cloud platforms, with Azure preferred
Experience with Azure Databricks and PySpark
Advanced SQL and Python skills
Hands-on experience in large-scale ETL/ELT
Experience with data lakes and NoSQL databases, including Cosmos DB
Proven track record optimizing pipelines, implementing governance, and leading system migrations
Strong knowledge of DevOps practices, including CI/CD
Knowledge of data mesh concepts and dimensional modeling
Experience mentoring teams, leading architecture reviews, and influencing technical roadmaps
Ability to communicate complex technical strategies to stakeholders and executives
Passion for outdoor adventures and alignment with Arc’teryx’s values of sustainability and innovation
Must be eligible to work in Canada

Benefits

Comp & perks

Extended health, dental, and vision coverage
Mental health support
Fertility benefits
Gender-affirming care
24/7 Employee Assistance Program (EAP)
RRSP matching
Eligibility for Arc'teryx Annual Incentive Plan
Access to Employee Stock Purchase program (ESPP) where applicable
Paid time off
Wellness time
No Wasted Day program (dedicated paid days to get outside & explore)
Parental leave top-up
Nesting period for new parents
Professional development opportunities
Arc'teryx Academies (outdoor skill-building events)
Employee Belonging Councils
Employee discounts
Pro Deals (exclusive discounted pricing on gear)