Senior Data Engineer

Levi Strauss & Co. is seeking a Senior Data Engineer to join their innovative Data & AI Platform Engineering organization. This role is part of the Retail Data Domain team, focusing on building cloud-native and modern data platform solutions. The position offers an opportunity to work on cutting-edge data engineering projects, developing data pipelines, models, and transformations while delivering data products and dashboards to business stakeholders.

The ideal candidate will have 8+ years of experience in data engineering and will be responsible for architecting high-performance data solutions, implementing data quality measures, and leading junior engineers. They will work with cross-functional teams including analysts, data scientists, and SREs to deliver high-quality data products.

The role requires expertise in SQL, Python or Java, and experience with big data technologies like Spark and Flink. Knowledge of cloud platforms (preferably GCP) and data visualization tools is essential. The position offers comprehensive benefits including health insurance, paid leave, and product discounts.

This is an excellent opportunity for a seasoned data engineer to make a significant impact at a global retail company while working with modern technologies and leading teams. The role combines technical expertise with leadership responsibilities, making it ideal for someone looking to advance their career in data engineering while working on meaningful projects at scale.