Sr. Data Engineer, Amazon Devices-Demand Planning

The Amazon Devices-Demand Planning team is seeking a Senior Data Engineer to serve as a technical leader in designing and implementing robust data architecture solutions. This role involves driving the evolution of data infrastructure and architecting scalable solutions that support critical business analytics and machine learning initiatives. The position requires expertise in AWS technologies including Redshift, S3, Glue, SNS, and Lambda, while ensuring data quality, accessibility, and security.

The ideal candidate will excel at breaking down complex technical challenges, anticipating future data access patterns, and implementing solutions that balance immediate business needs with long-term scalability. They should have a proven track record of simplifying complex data architectures and establishing engineering best practices.

Working within the Data Engineering team supporting Demand Planning, you'll be responsible for data infrastructure, architecture, and management functions. This includes handling large datasets, optimizing data models, and enhancing data management solutions for forecasting models and reporting tools.

The role offers competitive compensation ranging from $139,100 to $240,500 per year based on geographic location, plus equity and comprehensive benefits. You'll be part of Amazon's innovative culture, working with cutting-edge technologies and making significant impacts on the company's data infrastructure.

This position requires strong communication skills, as you'll be collaborating with cross-functional teams and influencing technical decisions. You'll have the opportunity to mentor team members while working on challenging problems in a fast-paced, dynamic environment. The role combines technical leadership with hands-on engineering work, making it ideal for someone who enjoys both strategic thinking and practical implementation.