Jobs → Data & Analytics → Data Engineer

About the Role Join the engineering core of Lululemon’s MarTech team, building and maintaining data pipelines end-to-end from engineering to production support. You will modernize pipelines via Databricks Delta Live Tables and Unity Catalog, publish secure data views to the Enterprise Data Exchange via Snowflake, and bring a DevOps mindset across the full pipeline lifecycle, including on-call rotations. Key Responsibilities • Modernize data pipelines using Databricks Delta Live Tables and Unity Catalog • Publish secure data views to the Enterprise Data Exchange via Snowflake • Implement and maintain CI/CD principles using Azure DevOps and Repos • Manage on-call rotations and handle outages, escalations, and crisis situations • Collaborate with the Data Engineering team to ensure smooth operations Requirements • 5+ years of relevant engineering experience • Experience with DBT/DLT and Medallion Architecture • Azure Cloud deployments and configurations • CI/CD principles — Azure DevOps and Repos • Azure Data Factory, Azure Databricks, Snowflake, Storage Accounts • Experience working within a Data Engineering team • Bachelor’s degree in CS, Software Engineering/Architecture (or equivalent industry experience) • Experience with JIRA or similar bug/task tracking tools • Experience managing outages, escalations, and crisis situations Benefits • Opportunity to work with cutting-edge technologies in a hybrid work environment