Our team manages purchase orders, supplier contracts, and retail offer intent data for global operations. We focus on eliminating defects and increasing data accuracy to optimize product procurement and customer pricing.

Key job responsibilities
- Architecture design and implementation of next generation data pipelines and BI solutions
- Manage cloud infrastructure and database resources
- Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

A day in the life
Amazon's Retail Foundation Systems (RFS) is responsible for enabling our Retail business supporting over $250B in annual procurement. RFS orchestrates across procurement catalog, supplier contracts, and retail operations to deliver the best selection and prices to our customers while optimizing vendor success and category team efficiency. In 2025, we invested in shifting to vendor-first data architecture by adopting vendor-contributed data (GDSN, PH) as primary sources and reducing reliance on reconciled data by 64%, improving transparency in supplier contracts reducing disputes and we experimented with GenAI to deep dive EID defects and add more intelligence into our cost management. We view 2025 as a stabilization year after the APM/RFS transition in 2024. We've used the learnings from this year to develop new ideas in 2026 that will generate incremental value to our customers both internal and external and we acknowledge that these will continue to evolve through end of year.