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 innovative solutions and best practices in data engineering as part of ARC'TERYX's mission.
Senior Data Engineer at ARC'TERYX in North Vancouver employer: Arc'teryx Limited
At Arc'teryx, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our North Vancouver office provides a unique blend of professional growth opportunities, including mentorship and access to outdoor skill-building events, all while supporting a healthy work-life balance through flexible work arrangements and comprehensive benefits. Join us to be part of a team that values inclusivity, creativity, and a shared passion for the outdoors.
