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# Sr. Technical Program Manager, Open Data Analytics Engines

- **Company:** Amazon.com, Inc.
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Salary:** $148,700.0 - $201,200.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Data Analysis, Apache HTTP Server, Application Frameworks, Application Release Automation, Big Data, Apache Hive, Open Data Protocol, Open Source Technology, Software Engineering, Apache Spark, AWS Glue, Serverless Computing, Amazon Elastic Mapreduce (EMR)
- **Published:** August 17, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10493035/sr-technical-program-manager-open-data-analytics-engines

## About the Role

5+ years of technical product or program management experience

 - 7+ years of working directly with engineering teams experience
 - 3+ years of software development experience
 - 5+ years of technical program management working directly with software engineering teams experience
 - Experience managing programs across cross functional teams, building processes and coordinating release schedules

Preferred Qualifications

 - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
 - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
 - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership

## Description

Amazon Web Services Open Data Analytics (ODA) organization is looking for a Technical Program Manager to drive cross-team programs spanning release infrastructure, query engine development, and datalake integrations across Amazon EMR, AWS Glue, and Amazon Athena., We are looking for a Technical Program Manager to coordinate complex, cross-cutting programs across our Release Automation (Fundamentals) and Engines teams. You will drive end-to-end delivery of programs that span release pipeline modernization, engine performance initiatives, open-source upstream integrations, and region expansion. You will manage dependencies across teams, identify and mitigate risks, and ensure that our engineering investments translate into measurable customer outcomes., Own and drive cross-team program execution for release automation, engine performance, and datalake integration initiatives spanning Amazon EMR, AWS Glue, and Amazon Athena.
Build and maintain integrated program schedules across the Fundamentals and Engines teams, tracking milestones, dependencies, and critical path items across release pipeline modernization, region expansion, and engine optimization workstreams.
Identify, assess, and mitigate risks that span team boundaries - escalating early when release pipeline issues threaten downstream engine delivery or when upstream open-source changes impact release timelines.
Define program metrics and mechanisms (WBRs, dashboards, program reviews) to measure release velocity, pipeline reliability, engine performance benchmarks, and operational toil reduction.
Drive region build programs end-to-end, coordinating infrastructure readiness, release validation, and service launch activities across multiple AWS regions and deployment modes (EC2, EKS, Serverless).
Coordinate open-source integration programs, ensuring that upstream contributions to Apache Spark, Trino, and Apache Iceberg are tracked, reviewed, and merged in alignment with internal release cadences.
Partner with engineering leaders to facilitate technical trade-off discussions, helping teams balance new capability development against reliability, security patching, and operational debt reduction.
Author and deliver written narratives (OP documents, business reviews, program status updates) to communicate progress, risks, and resource needs to senior leadership.
Drive continuous improvement in release processes by identifying bottlenecks, proposing automation opportunities, and establishing mechanisms that prevent recurring issues.

A day in the life
The Open Data Analytics (ODA) organization builds and operates the services that millions of AWS customers rely on for large-scale data processing - Amazon EMR, AWS Glue, and Amazon Athena. Our teams enable customers to run analytics using open-source frameworks like Apache Spark, Trino, Hive, and datalake table formats like Apache Iceberg, Hudi, and Delta, across multiple deployment modes and every AWS region.


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