Data Engineer III, Data & AI, Customer Engagement Technology

As a Data Engineer III on Amazon's Data and AI team within Customer Engagement Technology, you will play a crucial role in designing and implementing robust data pipelines and infrastructure that power the organization's data-driven decisions and AI capabilities. This senior-level position focuses on developing and maintaining enterprise-scale data processing systems that handle high-volume transactions while ensuring data security and privacy compliance.

You will be responsible for architecting complex data solutions spanning multiple domains, with a particular emphasis on designing real-time processing frameworks that serve as the foundation for next-generation AI/ML capabilities. The role involves close collaboration with cross-functional teams, including software development engineers, product managers, and data scientists.

As a technical leader, you'll establish engineering best practices, mentor other engineers, and drive technical excellence across the organization. You'll work with cutting-edge technologies in cloud computing, big data processing, and machine learning infrastructure while contributing to robust data governance frameworks.

The position offers the opportunity to shape the future of Amazon's data and AI capabilities, working with AWS services like Redshift, S3, Glue, EMR, Kinesis, Lambda, RDS, and Bedrock. You'll be part of a new function within Customer Engagement Technology that owns the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy.

This role is ideal for someone who is passionate about solving complex technical challenges in high-scale environments, has strong leadership abilities, and wants to make a lasting impact on Amazon's data infrastructure. The position requires both technical expertise and the ability to translate business objectives into technical roadmaps that fundamentally influence how the organization leverages data for competitive advantage.