Lead the design of data architectures at ARC'TERYX as a Senior Data Engineer. This hybrid role focuses on complex data solutions, mentoring engineers, and driving innovation within the team.

As a Senior Data Engineer, you’ll contribute your expertise to shape data infrastructure crucial for informed decision-making. You will optimize performance, lead migrations to cloud-native solutions, and advocate for data quality. Collaborating with supply chain analytics, you will ensure that business needs translate into scalable data solutions.

Key Responsibilities:



• Design scalable data architectures using Azure Databricks • Lead migrations from legacy systems to cloud platforms • Optimize ETL/ELT workflows for structured data • Establish data quality frameworks and governance policies • Mentor junior engineers through workshops and code reviews

Requirements: • 5-8 years in data engineering with cloud expertise • Advanced SQL and Python skills for ETL/ELT • Solid knowledge of DevOps and data mesh principles • Proven mentorship experience and influence on roadmaps • Excellent communication of technical strategies to stakeholders

Drive innovative solutions and best practices in data engineering as part of ARC'TERYX's mission. #J-18808-Ljbffr

📌 Senior Data Engineer at ARC'TERYX (North Vancouver)
🏢 Arcteryx
📍 North Vancouver