Senior Data Engineer At Arc'Teryx

Arcteryx

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.#J-18808-Ljbffr

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