Data Engineering Manager, 3PX Analytics & Insights

Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs.

At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS"s market leadership while working with cutting-edge technologies and global clients.

We"re looking for a Data Engineering Manager to lead and grow our Data Engineering function within 3PX A&I. You will own the data infrastructure, pipelines, and platform capabilities that power our dashboards, reporting tools, and business-critical Private Pricing applications. Your team"s work directly enables program metrics, deal lifecycle tracking, and AI-powered insights across the global deal management ecosystem. This requires you to balance competing priorities, manage complex stakeholder relationships, and work closely with BIEs, data scientists, product managers, and software engineers to deliver scalable data solutions at a pace.

You'll lead a team of senior data engineers and own the data infrastructure, pipelines, and platform capabilities that power our analytics, AI tools, and business-critical applications .You are data-driven, uncompromisingly detail-oriented, and driven to help our business succeed. You have a passion for technology and are keen to leverage existing skills while trying new approaches. You are not tool-centric; you determine what technology works best for the problem at hand and apply it accordingly. You can explain complex data concepts to non-technical business stakeholders in simple terms, and you thrive in environments where priorities shift and cross-team alignment is essential.

Key job responsibilities

Lead and develop a team of senior data engineers, hiring, mentoring, setting technical direction, managing performance and growth opportunities.

Own the data platform strategy and roadmap for the team's portfolio, including multiple Redshift clusters, ETL/ELT pipelines, and data models that serve analytics, data science, and business stakeholders.

Manage and optimize Redshift infrastructure, ensuring performance, cost efficiency, availability, and scalability across multiple clusters serving diverse business lines.

Own data pipelines for AI-powered tools, ensuring reliable, high-quality data flows that power the team's GenAI and ML applications including content analysis, audience segmentation, and experimentation automation.

Drive data engineering for business-critical applications, including dashboards and other internal self developed software products.

Establish and enforce data governance, quality, and reliability standards, implementing monitoring, alerting, SLAs, and data quality frameworks across the team's data assets.

Partner cross-functionally with product managers, BI engineers, and software engineers to translate business requirements into scalable data architecture and pipeline solutions.

Represent data engineering in planning and leadership forums, contributing to annual planning, QBRs, and roadmap reviews. Communicate trade-offs, capacity constraints, and investment needs clearly to senior leadership.

Drive operational excellence, owning on-call processes, incident response, COE follow-ups, and continuous improvement of the team's operational posture.

About the team

The GDSP 3PX Analytics & Insights (A&I) team is the centralized data engineering and analytics partner for AWS"s Private Pricing organization. We own the end-to-end data platform from core data modeling and pipeline infrastructure to reporting artifacts and self-serve analytics providing data-driven support to Private pricing stake owners across AWS.

We are a high-ownership, fast-moving team consisting of PMT's, Business intelligence Engineers, Data Engineers and Software development Engineers who thrive in ambiguity and deliver at pace. We manage a broad portfolio spanning multiple business verticals while maintaining a strong bar for data quality, operational rigor, and customer obsession. Our data ecosystem and insights are foundational to how Private Pricing programs are designed, measured, and evolved - directly shaping the strategies that drive AWS"s largest and most complex enterprise deals worldwide.