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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. Basic Qualifications: - 5+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 5+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 5+ years of data engineering experience
- Experience hiring, developing and promoting engineering talent
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 187,000.00 - 253,000.00 USD annually
USA, WA, Seattle - 170,000.00 - 230,000.00 USD annually
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