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Senior Manager, Growth Data Engineering – Leading Netflix's Global Expansion through Data-Driven Insights

Remote, USA Full-time Posted 2025-11-02

Join the World's Leading Internet Entertainment Service

Netflix is a pioneering internet entertainment service with over 235 million subscribers across more than 190 countries, offering a vast library of TV series, documentaries, and feature films in a wide range of genres and languages. We're committed to expanding our global reach and providing an exceptional user experience. Our Growth Data Engineering team plays a vital role in driving business decisions through data-driven insights, and we're seeking a seasoned Senior Manager to lead our efforts.

About the Role

As a Senior Manager, Growth Data Engineering, you will lead a team of experienced engineers in building analytical databases that inform product, analytics, and data decisions in our Growth and Acquisition strategies. You will be part of our Product organization within Data and Insights, working closely with cross-functional teams to drive business outcomes.

Key Responsibilities:

  • Develop and execute a vision and strategy for your team, leveraging your technical expertise and business acumen to drive growth and expansion.
  • Lead, mentor, and guide a high-performing team of engineers to achieve exceptional results and foster a culture of innovation and collaboration.
  • Build strong relationships with product, data science, analytics, and engineering leaders and partners to drive business outcomes and align with Netflix's strategic priorities.
  • Develop and coach individual team members to reach their full potential, providing constructive feedback and guidance.
  • Collaborate with stakeholders to design and implement scalable data architectures that meet the needs of our growth and acquisition strategies.
  • Develop and maintain technical roadmaps, aligning with business objectives and ensuring technical excellence.

Who Are We Looking For?

We're seeking a seasoned leader with a strong technical background, business acumen, and exceptional leadership skills. You should:

Essential Qualifications:

  • Hold a Bachelor's degree in Computer Science, Engineering, or a related field.
  • Have 5+ years of experience in data engineering, with a focus on growth and acquisition strategies.
  • Possess strong technical skills, including proficiency in programming languages such as Python, Java, or Scala.
  • Have experience with big data technologies, including S3, Spark, Elasticsearch, and graph databases.
  • Demonstrate a deep understanding of data architecture, data modeling, and data governance.
  • Exhibit exceptional leadership skills, with experience in managing high-performing teams and driving business outcomes.

Preferred Qualifications:

  • Have experience working in a fast-paced, dynamic environment with multiple stakeholders.
  • Be familiar with Netflix's technology stack and architecture.
  • Possess experience with data science and analytics tools, such as Jupyter Notebooks, Apache Beam, or Apache Spark.
  • Have a strong understanding of business acumen and market trends.

What We Offer

At Netflix, we offer a unique and dynamic work environment, with opportunities for growth and development. Our compensation package includes:

  • A competitive annual salary, ranging from $480,000 to $1,200,000.
  • A comprehensive benefits package, including health insurance, mental health support, a 401(k) retirement plan with company match, and more.
  • Flexible work arrangements, including remote work options.
  • Opportunities for professional growth and development.

Our Culture and Values

At Netflix, we value:

  • Diversity, equity, and inclusion.
  • Freedom and responsibility.
  • Judgment and candor.
  • Curiosity and innovation.

We're committed to creating an inclusive and diverse work environment, where everyone can thrive and contribute to our mission.

How to Apply

If you're passionate about data engineering, growth strategies, and leadership, we encourage you to apply for this exciting opportunity. Please submit your application, including:

  • Your resume and cover letter.
  • A list of your relevant technical skills and experience.
  • Any additional information that showcases your qualifications and interest in the role.

Don't miss this chance to join our team and drive business outcomes through data-driven insights. Apply now and take the first step towards a rewarding career at Netflix!

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