Data Engineering Manager, Planning and Audience Insights

Prime Video & Amazon MGM Studios; Seattle (WA); On-site; USD 170,000 - 230,000; Full time

Job summary

Amazon.com Services LLC is seeking a Data Engineering Manager for the US Planning & Audience Insights team at Prime Video in Seattle. You will lead senior data engineers, own the data platform roadmap, optimize Redshift clusters, and drive pipelines powering analytics, GenAI tools, and business applications.

You will partner with product managers, data scientists, BI engineers, and software engineers to deliver scalable data solutions, govern data quality, and ensure reliable data flows for

Qualifications

• 7+ years of data engineering experience.
• Experience managing a data or BI team.
• 5+ years of processing data with massively parallel technologies (Redshift, Teradata, Netezza, Spark or Hadoop).
• 3+ years building and operating large-scale data structures for BI analytics (ETL/ELT).
• Experience leading data/BI strategy.
• Experience communicating to senior management and customers.
• Experience in at least one modern scripting or programming language (Python, Java, Scala, NodeJS).

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 team’s portfolio, including Redshift clusters, ETL/ELT pipelines, and data models.
• Manage and optimize Redshift infrastructure for performance, cost, availability and scalability.
• Own data pipelines for AI-powered tools powering GenAI and ML applications.
• Drive data engineering for dashboards and internal software products.
• Establish and enforce data governance, quality, and reliability standards with monitoring, SLAs and data quality frameworks.
• Partner with product managers, data scientists, BI engineers, and software engineers to translate requirements into scalable architecture.
• Represent data engineering in planning and leadership forums, communicating trade-offs and investment needs to senior leadership.
• Drive operational excellence, on-call processes, incident response and COE follow-ups.

Skills

Data engineering

Team leadership

Stakeholder communication

Programming languages

Tools

Redshift

ETL/ELT pipelines

AWS tools

Job description

Description

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.

We’re looking for a Data Engineering Manager to lead the Data Engineering function within Prime Video’s US Planning & Audience Insights team. This team defines Prime Video’s 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.

You’ll 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 team’s work directly enables content programming, marketing optimization, and audience strategy for one of the world’s 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 team’s 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 team’s 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 team’s 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 team’s 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.

Basic Qualifications

• 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

Preferred Qualifications

• 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 Company’s 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 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, Culver City - 170,000.00 - 230,000.00 USD annually

USA, WA, SEATTLE - 170,000.00 - 230,000.00 USD annually

Company

Amazon.com Services LLC

Job ID: A10441155