Design Azure data architectures and optimize PySpark systems as a Senior Data Engineer with ARC’TERYX in North Vancouver or remotely.

This senior position supports the Supply Chain Analytics Squad and its data-informed decision-making. You will build scalable pipelines, translate stakeholder requirements, and mentor engineers. The work includes Databricks, Python, SQL, data lakes, and governance.

Key Responsibilities:

- Design batch, streaming, and lakehouse architectures using 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 engineers through reviews, workshops, and guidance

Requirements:

- Five to eight years of data engineering experience
- Advanced SQL and Python skills with large-scale ETL/ELT experience
- Expertise with Azure, Databricks, PySpark, and Cosmos DB
- Knowledge of CI/CD, data mesh, and dimensional modeling
- Eligibility to work in Canada

Bring Azure architecture, PySpark, governance, and technical leadership to ARC’TERYX supply chain analytics initiatives.

📌 Senior Azure Data Engineer (Vancouver)
🏢 Arc'teryx
📍 Vancouver