Senior Manager, Content Data Engineering

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Content Data Engineering team sits at the core of building a data ecosystem that powers Netflix’s understanding and decision-making about content. It is part of a larger data engineering organization within the Content Data Science vertical, with a strong sense of engineering community that fosters both technical and personal growth for each member of the team. This team’s main focus is to build rich, connected, and easily accessible data products about how our content performs on the service. Core data about content is used across multiple business areas and functions, from getting informative analytics to feature engineering in predictive models. The scope of this team’s work is rapidly growing, and there are new opportunities for impacting Netflix’s journey, like Live TV. We need an innovative senior leader who is also grounded in making practical long-term and short-term decisions, with a passion for the television and entertainment space and deep data engineering experience, to drive the team’s success in a quickly evolving business.

Who are you?

• Beyond talented, you are curious, creative, tenacious, and optimistic.

• You are a visionary leader who can inspire and align cross-functional teams to achieve ambitious goals.

• You have strong beliefs that are weakly held: you can argue, hear all sides of a debate, and adapt to new perspectives that emerge from it.

• You have an extensive background working in a data domain and understand how to build for scale and business impact.

• You possess strong technical depth in data engineering, with hands-on expertise in designing, building, and scaling complex data systems.

• You are a role model for integrity, transparency, and courage.

• You have great judgment and can make tough decisions without agonizing.

• You have a high tolerance for ambiguity and fast-changing context.

• You enjoy working on hard problems with new tech, but what really drives you is creating levers for making a big impact and delighting your stakeholders.

• You are experienced in hiring and leading high-caliber data teams with diverse technical strengths, including both highly tenured engineers and those early in their careers.

• You are adept at maximizing the contributions and growth of both seasoned experts and emerging talent, creating an inclusive and empowering environment for all.

• You have significant people leadership experience: you are a strong technical mentor and a champion for cultivating individual and organizational growth.

• You are experienced in managing and scaling teams, and have a track record of developing other leaders.

• You are allergic to politics, micro-management, and heavy process.

What will you do?

• Provide executive-level technical vision and strategy for building a data ecosystem that enables Netflix to leverage data about content within cross-functional teams.

• Drive the long-term roadmap and influence the direction of data engineering across the Content Data Science vertical and beyond.

• Build, lead, and scale a high-performing organization of data engineers, fostering a culture of innovation, collaboration, and excellence.

• Serve as a technical authority and thought leader in the data engineering craft, setting high standards for technical quality and best practices across the team.

• Effectively lead, motivate, and develop both strong, tenured engineers and early career engineers, ensuring that all team members are challenged, supported, and able to contribute meaningfully.

• Create tailored growth opportunities and mentorship that address the unique needs of engineers at all stages of their careers.

• Cultivate strong and productive relationships across business, science, analytics, and engineering partners, including senior leadership and executive stakeholders.

• Balance immediate stakeholder needs with long-term vision, ensuring alignment with Netflix’s strategic objectives.

• Collaborate with other senior data engineering leaders at Netflix to contribute to and influence commonly shared goals and initiatives.

• Represent the Content Data Engineering function in cross-functional forums, advocating for best practices and driving continuous improvement.

• What do you know?

• Strong technical depth an