Data Engineering Manager, Planning and Audience Insights

About the role

The US Planning & Audience Insights team is part of Prime Video, a first-stop entertainment destination. This team defines Prime Video's 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.

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.

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

Benefits

Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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