Sr. Technical Program Manager, Open Data Analytics Engines

Amazon is hiring a Sr. Technical Program Manager, Open Data Analytics Engines. It pays $171k-$231k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
The posting mentions Apache Spark, Trino and Apache Iceberg among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Drives cross-team technical programs for release infrastructure and query engine development across AWS open data analytics services.

Apache SparkTrinoApache IcebergAWS

technical-program-managementrelease-automationquery-optimizationcloud-infrastructure

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.

ODA powers millions of clusters across all AWS regions, enabling customers to run massive-scale analytics using open-source frameworks like Apache Spark, Trino, Apache Iceberg, Hudi, and Delta. Our teams build the automated release pipelines that package and distribute production-ready releases across multiple deployment modes (EC2, EKS, Serverless), and develop the core query engine optimizations that deliver 5x+ performance improvements over open-source baselines.

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.

Key job responsibilities
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.

This TPM role sits at the intersection of two critical teams within ODA:

ODA Fundamentals owns the end-to-end release lifecycle — the automated pipelines (Kamino) that take open-source frameworks and package them into production-ready AMIs and container images, the patching and region build programs, and the release automation tooling that ensures every release reaches customers reliably.

ODA Engines owns the core query engine and datalake integrations — making deep modifications to Spark, Trino, and Iceberg to deliver superior performance, scalability, and enterprise features in serverless environments. This team actively contributes to open-source communities and stays current with the latest framework versions.

Our culture values operational excellence, technical depth, and builder empowerment. We believe that great program management makes engineering teams faster — not by adding process, but by removing ambiguity, surfacing risks early, and creating mechanisms that let engineers focus on building. We are a team that ships frequently, operates what we build, and takes pride in the infrastructure that powers analytics at AWS scale.

About the team
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic qualifications

- 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

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, CA, East Palo Alto - 171,000.00 - 231,400.00 USD annually
USA, WA, Redmond - 148,700.00 - 201,200.00 USD annually

How we rate this

Sr. Technical Program Manager, Open Data Analytics Engines at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr. Technical Program Manager, Open Data Analytics Engines is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $171k-$231k a year.
The role is based in US, WA, Redmond.
The job was posted on August 5, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Technical Program ManagementRelease AutomationQuery OptimizationCloud InfrastructureApache SparkTrinoApache IcebergAWS

Questions you could be asked

Tell me about a project where technical program management was part of your work. What did you do?
Tell me about a project where release automation was part of your work. What did you do?
Tell me about a project where query optimization was part of your work. What did you do?
Tell me about a project where cloud infrastructure was part of your work. What did you do?
Walk me through how you've used Apache Spark in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Technical Program Management, Release Automation, Query Optimization, Cloud Infrastructure, and Apache Spark. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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