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
• Strong knowledge of DevOps and data mesh principles
• Proven mentorship experience and influence on roadmaps
• Excellent communication of technical strategies to stakeholders

Drive cutting-edge solutions and best practices in data engineering as part of ARC'TERYX's mission.
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📌 Senior Data Engineer at ARC'TERYX (Vancouver)
🏢 Arc'teryx
📍 Vancouver