Director - Member Data Engineering & Products at Netflix

, , United States -

Full Time

Start Date

Immediate

Expiry Date

19 Dec, 25

Salary

1870000.0

Posted On

20 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics Engineering, Visualization Engineering, Big Data Technologies, Hadoop, Spark, Kafka, Cloud Platforms, AWS, Azure, GCP, Data Architecture, Customer Focus, Team Leadership, Communication, Analytical Skills

Industry

Entertainment Providers

Description

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. Around the world, we connect hundreds of millions of people with the best television, films, live events, games, and more. And our product is at the heart of making these connections. To build best-in-class product experiences, we develop thoughtful long term strategies, bring the best talent together, and let them creatively problem solve with a strong and unique work culture. We are looking for a seasoned leader in the Member domain who can lead our data engineering, analytics engineering, and visualization engineering teams across our US and Poland offices. In this role, you will need to be both technical and strategic, and play a critical part in the evolution of our service to support a broader suite of entertainment offerings. You will look across our data stack to deliver data assets, analytics, and data products at scale. Your partnerships will extend in both directions - downstream to science/ML and business stakeholders, and upstream to our engineering and platform teams. What you'll be doing: Develop and execute a comprehensive vision and strategy for the Data Engineering & Products department that aligns with Netflix’s member domain goals. Focus on near—and medium-term projects and deliver on a multi-year vision. Drive innovation and best practices in data management and architecture. Lead and inspire a team of high-performing data, analytics, and visualization engineers, fostering a culture of excellence, continuous learning, and a winning reputation for helping the business succeed. Establish and nurture strong relationships across product, merchandising, data science, engineering, and platform leaders and partners, fostering collaborative success. Mentor and grow individual team members and managers to reach their full potential through thoughtful observation and courageous, honest feedback. Navigate and transform business risks into opportunities for growth, ensuring alignment and integration across the organization. Ideally, you are: A visionary leader with deep expertise in consumer-scale distributed data processing and the delivery of analytical and data visualization products. Experienced in leading departments with a strong background in big data technologies such as Hadoop, Spark, Kafka, and cloud platforms (e.g., AWS, Azure, GCP), and have led teams to build large-scale data architectures with high volume and low latency. Passionate about the customer, with a history of providing impactful data that influences product direction or customer experiences. Proven in leading and developing high-performing teams across multiple priorities in a fast-paced environment. An exceptional communicator with excellent analytical and problem-solving skills, capable of engaging with a broader, more senior stakeholder set. 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 $610,000 - $1,870,000. 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 detail about our Benefits 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.

Responsibilities

Develop and execute a comprehensive vision and strategy for the Data Engineering & Products department. Lead and inspire a team of high-performing data, analytics, and visualization engineers.