Join Amazon's Selling Partner Insights and Analytics (SPIA) organization as a Data Engineering Manager. You will lead the data infrastructure that supports over 200 business teams across Amazon Stores.

This role offers the chance to shape the future of data engineering for a platform processing millions of cases daily. Your work will directly impact customer experience and operational excellence within a massive e-commerce ecosystem.

The Paragon platform is central to Amazon Stores' case management, essential for seller support, compliance, and advertising. We are transitioning from legacy systems to a modern cloud-native architecture on AWS, and you will manage the data infrastructure team through this transformation.

Lead a team of talented data engineers responsible for the entire data lifecycle, from ingestion and transformation to storage, access, and archival.

Drive the technical strategy for migrating from Andes to AWS Lake Formation, ensuring zero disruption to downstream consumers and unlocking new data sharing capabilities.

Establish data governance frameworks, implement data quality monitoring, and build self-service analytics capabilities to empower business teams.

Partner closely with product managers, software engineers, and business stakeholders to translate complex data requirements into effective engineering solutions.

Mentor and grow your team, fostering a culture of operational excellence, innovation, and customer obsession. Own the operational health of data pipelines processing billions of records, ensuring high reliability and continuous improvement.

A Bachelor's degree is required, with a minimum of 5 years of experience in data engineering.

Possess at least 3 years of experience processing data with massively parallel technologies such as Redshift, Teradata, Netezza, Spark, or Hadoop-based big data solutions.

Demonstrate 3+ years of experience with relational database technology, including Redshift, Oracle, MySQL, or MS SQL.

Experience hiring, developing, and promoting engineering talent is essential.

Proven ability to lead and influence data or BI strategy within your team or organization is expected.

Proficiency in at least one modern scripting or programming language like Python, Java, Scala, or NodeJS is necessary.

An advanced degree in computer science, engineering, analytics, mathematics, statistics, or IT is preferred, along with experience in AWS tools such as Redshift, S3, and EC2.