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Manager, Data Engineering & Insights, Prime Video Advertising

Amazon

Manager, Data Engineering & Insights, Prime Video Advertising

full-timePosted: Aug 23, 2026Updated: Aug 27, 2026Bengaluru, Karnataka, India

Job Description

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? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe? As part of the Prime Video team, you’ll get to work on projects that are fast-paced, challenging, and varied. Also, you’ll get 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 creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you! We are seeking a highly skilled and technically adept Software Development Manager for Prime Video Advertising org who can lead both crafts on it: the data-platform and pipeline charter at its core, and the software and GenAI systems work that is its future. You'll own the team's people, delivery, architecture direction, and operational health end-to-end — building a new team, taking full ownership of a live platform through a structured transition, and setting the direction for how the organization gets answers from advertising data. You will build and scale big data platforms, manage engineers building data pipelines and data lakes, and drive the technical vision for the team's data infrastructure. You hire and grow the Data Engineers, and Software Development Engineers that build this vision. The ideal candidate brings strong engineering depth in distributed data systems combined with proven people management skills to grow and develop a multi-discipline engineering team. You'll be joining a team that's at the forefront of infrastructure innovation, working on greenfield projects with significant business impact, and building solutions that directly enable PVA teams to move faster and more efficiently. Key job responsibilities - Build, lead, and develop a hybrid team of Data Engineers and Software Development Engineers — hiring, ramping, performance, coaching, and career growth across both crafts. - Own the technical vision and architecture for the team's data platforms, pipelines, and data lakes - Own end-to-end delivery, operational excellence, and on-call health for the advertising-measurement data platform and its associated software and GenAI systems. - Set and steward the team's technical direction in partnership with your senior engineers — data architecture and the four-layer lake on the DE side, agent harness, evaluation, and query guardrails on the SDE side. - Own stakeholder relationships with Prime Video Ads Finance, Product, and partner engineering teams, negotiating roadmap scope and dependencies through the transition. - Drive the team's AI-enablement charter — the semantics layer and GenAI tooling — from strategy through delivery, and make the DE/SDE resourcing and trade-off decisions it requires. - Foster a culture of engineering excellence, ownership, and continuous improvement - Partner with product and engineering leadership to align data platform roadmap with business priorities - Communicate technical strategy and trade-offs to senior leadership About the team Prime Video Advertising - Data, Measurement and Insights(“PVA-DMI”) team is a central data and analytics team within the PV-Ads org that plays a pivotal role in fueling the worldwide growth of Amazon’s video advertising business. We own data platform, reporting, dashboards, measurement, and analytical solutions for PV Ads.

Locations

  • Bengaluru, Karnataka, India

Skills Required

  • data modelingintermediate
  • SQLintermediate
  • at least one modern scriptingintermediate
  • big data technologies such as: Hadoopintermediate
  • AWS Toolsintermediate

Required Qualifications

  • 7+ years of data engineering experience (experience, 7 years)
  • Experience with data modeling, warehousing and building ETL pipelines (experience)
  • Experience with SQL (experience)
  • Experience managing a data or BI team (experience)
  • Experience leading and influencing the data or BI strategy of your team or organization (experience)
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS (experience)
  • Experience hiring, developing and promoting engineering talent (experience)

Preferred Qualifications

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

Responsibilities

  • Build, lead, and develop a hybrid team of Data Engineers and Software Development Engineers — hiring, ramping, performance, coaching, and career growth across both crafts.
  • Own the technical vision and architecture for the team's data platforms, pipelines, and data lakes
  • Own end-to-end delivery, operational excellence, and on-call health for the advertising-measurement data platform and its associated software and GenAI systems.
  • Set and steward the team's technical direction in partnership with your senior engineers — data architecture and the four-layer lake on the DE side, agent harness, evaluation, and query guardrails on the SDE side.
  • Own stakeholder relationships with Prime Video Ads Finance, Product, and partner engineering teams, negotiating roadmap scope and dependencies through the transition.
  • Drive the team's AI-enablement charter — the semantics layer and GenAI tooling — from strategy through delivery, and make the DE/SDE resourcing and trade-off decisions it requires.
  • Foster a culture of engineering excellence, ownership, and continuous improvement
  • Partner with product and engineering leadership to align data platform roadmap with business priorities
  • Communicate technical strategy and trade-offs to senior leadership

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