Data Engineering Manager, Prime Video

Amazon • Seattle, WA

18h

About The Position

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.
You'll 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 Video's streaming experience on millions of customers across the world.

You will own critical data infrastructure supporting personalization analytics,
experimentation, and reporting. You'll 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.

The Personalization and Discovery Analytics (PANDA) Data Engineering team builds
the infrastructure that enables experimentation and analytics at
scale—processing 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 Video's
technology teams are creating best-in-class digital video experience.

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

We’ll 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!

Requirements

• 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

Nice To Haves

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with AWS Tools and Technologies (Redshift, S3, EC2)

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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed