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
- Robust 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.

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