Staff Data Engineer

Role: Senior Data Engineer responsible for designing, building, and scaling data products on cloud platforms (Databricks, Snowflake) to support analytics and AI/ML initiatives at Illumina. Core responsibilities include translating cross-functional domain needs into governed, scalable data solutions; developing reusable frameworks and data models; implementing robust, high-performance data pipelines; embedding data governance, quality, and compliance; and providing technical leadership through standards, code reviews, and mentorship. Requirements: over 10 years of experience in cloud data engineering, strong proficiency in Python, SQL, and data modeling; expertise with distributed systems, Spark, Delta Lake, and ELT tools like dbt; familiarity with data governance, security, and AI integration; and a Bachelor's degree in a related field. Preferred qualifications include domain knowledge of SAP, Manufacturing, or GxP environments, experience with lakehouse governance, and certifications in Databricks or Snowflake. The role involves cross-functional collaboration with teams in Supply Chain, Manufacturing, and Quality, acting as an individual contributor with leadership responsibilities. The position is based in the U.S. with a salary range of $141,600–$212,400, including bonus and equity options, and offers comprehensive benefits. Work setup details and travel requirements are not specified.