Amazon’s eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience. Serving millions of customer page views and orders per day, eCF builds for scale.

As an organization within eCF, the Business Data Technologies (BDT) group is no exception. We collect petabytes of data from thousands of data sources inside and outside Amazon including the Amazon catalog system, inventory system, customer order system, page views on the website and Alexa systems. We also support Amazon subsidiaries such as IMDB and Audible. We provide interfaces for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Service’s (AWS) Redshift, Hive, Spark and Oracle. We build scalable solutions that grow with the Amazon business.

BDT is growing, and the data processing landscape is shifting. Our data is consumed by thousands of teams across Amazon including Research Scientists, Machine Learning Specialists, Business Analysts and Data Engineers. Our technical challenges involve a combination of back-end software engineering, user interface development, and data lifecycle management. The ideal candidate will draw upon critical thinking, and problem-solving skills, and an entrepreneurial spirit with a strong sense of ownership, urgency, and drive. A proven record of driving and delivering lasting, large-scale systems is a must. The person must also be a strong leader who can drive consensus across cross-functional business and software development team and be an excellent communicator who can articulate technical design tradeoffs.

Successful candidates will: have a technical background; be detail-oriented and data-driven; exhibit excellent problem solving and program management skills. You should not only be passionate about delivering extensible, on-time solutions, but should also be obsessed with contributing to the development of high-performance teams through rigorous goal-setting, disciplined attention to performance metrics, continuous process improvement and mentorship. Come have a big impact by reshaping Amazon’s data landscape!


Key job responsibilities
Interface with internal Product Managers and design owners to understand requirements, set priorities and communicate direction and progress.
Develop long-term development and business technology strategies
End-to-end project management functions of large programs including planning, risk and issue management, trade-offs and execution.
Effectively coordinate with customers, technical staff and leaders, business leaders and executives in different geographical locations to define and deliver complex features.
Ability to disambiguate, define and plan programs in a fast paced and highly-technical organization, and secure buy in from internal and external stakeholders