Data Engineering Manager, Prime Video

Interested in influencing what customers around the world see when they turn on Prime Video The Prime Video Personalization and Discovery team matches customers with the right content at the right time at all touch points throughout the content discovery journey. We are looking for an experienced Data Engineering Manager to develop data infrastructure and pipelines that power experiments and product analytics for personalization and discovery experiences. Youll work with a team of high-caliber data engineers to ensure analysts and product managers always have the data to measure and understand the impact of Prime Videos streaming experience on millions of customers across the world.

You will own critical data infrastructure supporting personalization analytics experimentation and reporting. Youll operate in an environment where problems may be ambiguous and strategies undefined requiring you to use technical expertise and sound judgment to define the right approach establish metrics and design long-term strategy.


Key job responsibilities
- Lead and mentor a team of data engineers responsible for building and scaling critical data products that power Prime Video personalization and discovery decisions
- Design and operate scalable data infrastructure supporting petabyte-scale data processing including data lakes ETL/ELT pipelines and low latency analytics capabilities to support over multiple director-level teams
- Maintain data pipelines for personalization analytics reporting and data science supporting insights into recommendation performance customer behavior and feature impact and metric development
- Establish and enforce best practices for data engineering including code reviews testing strategies CI/CD automation monitoring documentation Airflow orchestration patterns and AI capabilities
- Define and communicate technical vision and long-term strategy for the data engineering team navigating ambiguity and establishing clarity for teams
- Lead roadmap creation in partnership with stakeholders balancing business priorities team capacity and technical debt
- Implement data governance quality standards and security practices aligned with compliance and regulatory requirements

About the team
The Personalization and Discovery Analytics (PANDA) Data Engineering team builds the infrastructure that enables experimentation and analytics at scaleprocessing petabytes of customer interaction data daily to power A/B testing and analytics. We collaborate closely with product teams data scientists and economists to ensure data infrastructure supports both immediate business needs and long-term strategic initiatives. The team operates with high technical standards strong ownership mentality and a commitment to customer obsession. We prioritize simplicity operational excellence and data-driven decision-making across the organization.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies series documentaries and live sports including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV Max Crunchyroll and MGM. All customers regardless of whether they have a Prime membership or not can rent or buy titles via the Prime Video Store and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment Prime Videos technology teams are creating best-in-class digital video experience.

As a Prime Video technologist youll have end-to-end ownership of the product user experience design and technology required to deliver state-of-the-art experiences for our customers. Youll get to work on projects that are fast-paced challenging and varied. Youll also be able to experiment with new possibilities take risks and collaborate with remarkable people.

Well look for you to bring your diverse perspectives ideas and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists you can decide where a career Prime Video Tech takes you!


- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience managing a data or BI team
- 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
- Experience hiring developing and promoting engineering talent

- 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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 170000.00 - 230000.00 USD annually