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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.

We are looking for an experienced leader to lead the Member Foundations Data Engineering team. This team builds the core datasets that represent how members interact with the Netflix Product. This includes data about what members see, where they go, and what they do on Netflix, which we source through client logged events. The personalized experience delivered to each member is logged from our backend systems, capturing how multiple algorithms interact to build the optimal page for each user. Putting the two together, we can get a clearer picture of how well Netflix is working for our members.

In this role, you will help influence and guide projects from end-to-end: ideation to production. You will ensure our data products are built with engineering rigor, our solutions are scalable and performant despite the very high (and growing) scale of our data, and our data assets have strong data quality guarantees. Your team will also invest in tooling and patterns/best practices to help achieve these goals.

To be successful in this role, you need to be a strong people leader; be great at giving and receiving feedback, fostering new ideas, and empowering others. You also need strong data and engineering backgrounds, to be a quick and data-driven learner, and have the ability to hire and grow a strong data engineering team.

Responsibilities:

• Vision: You intuitively understand business and technology and you leverage that to guide a team by providing relevant context and inspiration.

• Team Building: You are constantly on the lookout for talent and have a knack for recognizing and attracting top-tier engineers to your team. You understand the importance of building an amazing team that is additive and diverse, and the value it brings to the overall company. Just as important as recruiting, you develop connections with the team and help them flourish in their roles, so the team retains its best talent.

• Feedback & Development: You will coach and guide employees through their strengths and weaknesses through regular feedback.

• Partnership: You will continue to establish strong relationships with both business and technical leaders across Netflix.

Skills & Characteristics:

• You are a strong people leader who also demonstrates humility. You care deeply about people and their success. You invest in your relationships so that you have an understanding of the whole person and their perspective.

• You’re not afraid of tough conversations and are experienced in coaching your colleagues through difficult situations. You are comfortable sharing your perspective on challenging people dynamics.

• You seek to de-escalate tense situations, and are creative & flexible in finding balance with partners to maximize impact.

• You are a strong communicator and self-aware about how others perceive your comments. As someone in a leadership role ,you aim to be assertive, not passive nor aggressive, in providing input, support, and feedback.

• You are forward-looking and able to anticipate the investments Netflix should be making to improve efficiency, innovation, and alignment. You identify areas for continuous improvement, and persistently advocate for action to address them.

• You’re allergic to micromanagement. You prefer to give context, delegate, and watch amazing people exceed your hopes and expectations.

Preferred Requirements:

• You have strong business intuition, product sense, and analytic chops.

• You have 8+ years of experience in data engineering. You have a strong programming background (at least 1 major language) and SQL experience in your background.

• You have 6+ years of engineering leadership experience.

• You have worked in a technical role with a large scale consumer facing digital company.

• You have experience with client logging solutions.

• You have a MS in Computer Science/Engineering, or related field.

• You have strong experience with distributed data processing technologies (i.e. Spark/Hadoop, etc.) and extensive experience working with data at scale.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $446,000.00 - $752,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.