Engineering Manager, Data Platform Orchestration

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.

The Analytics Platform and Experience (APeX)) team is responsible for providing orchestration and compute technologies to ETL and to access nearly 1 Exa Byte of data in the Netflix Warehouse. It is also responsible for the underlying table format, Iceberg (an industry-standard table format and an open-source project originating in this team), metadata, security, and the data lifecycle (janitoring, compaction, etc.).

The team also owns the end-to-end development experience for data practitioners and provides scalable, self-serve analytics capabilities and platforms for Analytics Engineers and business users.

Within APeX, the Orchestration team builds and operates a reliable, cost-efficient, and easy-to-use orchestration platform that powers Netflix's analytics and machine learning workflows. We enable scheduling, orchestrating, and executing big data workflows at scale-supporting the backbone of how data is produced, transformed, and consumed across Netflix. At the core of this platform is Maestro, our next-generation workflow orchestration system. Maestro is a fully managed workflow-as-a-service (WaaS), designed and built in-house to meet Netflix's scale and complexity.

Maestro serves thousands of users-including data scientists, data engineers, ML engineers, and software engineers-powering hundreds of thousands of workflows and millions of jobs every day.

Beyond orchestration, the team is investing in higher-level abstractions. This includes an ETL framework for incremental data processing that improves data freshness and accuracy while simplifying backfills-directly impacting cost and operational efficiency. We are also advancing intelligent operations through automated error classification and GenAI-powered remediation, leveraging systems like Pensive and Nightingale.

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What you will do:

* Partner to deliver the vision, strategy, and adoption of current and future technologies.

* Form trusting cross-functional partnerships to align many engineering teams and ensure our solutions meet their needs, selflessly prioritizing work beyond the scope of your own domain.

* Build, scale, and grow a team of outstanding engineers, challenge them to bring their best selves to work every day, and deliver industry-leading results in stability, performance, and efficiency.

* Balance smart risks, investment in foundational technical work, paying off tech debt, and incremental improvements to deliver timely results across multiple critical strategies.

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## What we are looking for:

* An experienced engineering leader who can drive a team of amazing and geographically distributed engineers to do their best work while building and maintaining strong partnerships with peers and stakeholders.

* Ability to dive deep as needed to facilitate technical strategy trade-offs and zoom out to understand the big picture to shape the product.

* Experience building and running extremely reliable platform systems supporting high-scale and critical workloads, including running a 24x7 on-call, 99.95+% availability, fast response, and short mean-time-to-restore service.

* Bring rigor to decision-making and reduce ambiguity with the right mix of data collection, seeking input, farming for dissent, and making pilot investments to build understanding or confirm direction.

* Proven track record helping a team deliver timely results on critical priorities against many demands for their time, and partnering with product and engineering management to influence the right areas for investment.

* Experience building and leading software engineering teams with a focus on inclusion and diversity, ensuring that we can attract and retain the best talent from anywhere and that all voices are heard to inform our direction.

* Experience in Orchestration, Spark, Trino/Presto, Snowflake,…