Data Engineering Manager, Planning and Audience Insights

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming across thousands of devices from award-winning Amazon MGM Studios originals to live sports channels and TVOD. Behind the content our customers love is a team shaping what gets released when and for whom. The US Planning & Audience Insights team is where strategy meets data meets AI: we build the tools and intelligence that power programming decisions audience growth and marketing optimizations.

Were looking for a Data Engineering Manager to lead the Data Engineering function within Prime Videos US Planning & Audience Insights team. This team defines Prime Videos north star (long-term strategy priority audiences and growth objectives) and delivers the customer intelligence analytics and AI-powered solutions that enable the organization to achieve them.

Youll 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. Your teams work directly enables content programming marketing optimization and audience strategy for one of the worlds largest streaming services. This requires you to balance competing priorities manage complex stakeholder relationships and work shoulder-to-shoulder with product managers data scientists and analytics to deliver scalable data solutions at pace.

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 teams 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 teams 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 teams data assets.

Partner cross-functionally with product managers data scientists 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 teams operational posture.

About the team
The US Planning & Audience Insights team sits within US Prime Video. We operate across six functions: Business Planning Product-Tech Analytics Data Science Data Engineering and Research. Our stakeholders span content programming content acquisition marketing and PV senior leadership.

Our 2026 roadmap is anchored in two investment themes (AI Tooling & Automation and Audience Infrastructure & Insights) spanning content optimization experimentation marketing customer journey marketplace and competitive intelligence.

Our products serve content programmers marketing strategists and senior leadership. We build tools that help PV decide what to release when to release it who to target and how to measure success at scale.

- 7 years of data engineering experience
- Experience managing a data or BI team
- 5 years of processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution) experience
- 3 years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience communicating to senior management and customers verbally and in writing
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with AWS Tools and Technologies (Redshift S3 EC2)
- Experience working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage
- Knowledge of digital creative production ad serving cross-channel attribution and media analytics
- Experience developing cloud native CI/CD workflows and tools such as Jenkins Bamboo TeamCity Code Deploy (AWS) or GitLab

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 CA Culver City - 170000.00 - 230000.00 USD annually
USA WA SEATTLE - 170000.00 - 230000.00 USD annually