Manager, Data Engineering, Selling Partner Insights and Analytics

Join Amazon’s Selling Partner Insights and Analytics (SPIA) organization as a Data Engineering Manager, where you'll lead the data infrastructure powering 200+ business teams across Amazon Stores. Shape the future of data engineering for a platform processing millions of cases daily, driving insights that directly impact customer experience and operational excellence across the world's largest e-commerce ecosystem.

Amazon's Paragon platform stands as the backbone of case management operations across Amazon Stores, serving as the central nervous system for seller support, compliance investigations, and advertising operations. As our platform continues its evolution from legacy Oracle systems to modern cloud-native architecture built on AWS services, we're seeking an exceptional Data Engineering Manager III to lead our data infrastructure team through this transformative journey.

Paragon operates at Amazon scale, managing a multi-tenant architecture supporting over 200 distinct business groups, each with unique data requirements, compliance needs, and operational patterns. Our data platform processes terabytes of case data daily, flowing through sophisticated ETL pipelines powered by Datanet, transforming raw operational data into actionable insights that drive business decisions across Amazon's global operations.

Your team will own the critical data infrastructure that enables real-time analytics, historical trend analysis, and predictive insights for business teams spanning continents and time zones. You'll architect solutions that balance the competing demands of data freshness, query performance, cost optimization, and regulatory compliance. The data engineering challenges are substantial: managing schema evolution across 200+ tenants, ensuring data quality and consistency, implementing robust security controls with KMS encryption, and building scalable pipelines that can handle exponential growth while maintaining sub-second query latencies for critical operational dashboards.

As Data Engineering Manager, you'll lead a team of talented data engineers responsible for the entire data lifecycle—from ingestion and transformation to storage, access, and archival. You'll drive the technical strategy for our migration from Andes to AWS Lake Formation, ensuring zero disruption to downstream consumers while unlocking new capabilities for data sharing and cross-team collaboration. Your leadership will be crucial in establishing data governance frameworks, implementing data quality monitoring, and building self-service analytics capabilities that empower business teams to derive insights independently.

This role demands both technical depth and leadership excellence. You'll partner closely with product managers, software engineers, and business stakeholders to translate complex data requirements into elegant engineering solutions. You'll mentor and grow your team, fostering a culture of operational excellence, innovation, and customer obsession. You'll own the operational health of data pipelines processing billions of records, ensuring 99.99% reliability while continuously improving efficiency and reducing costs.