Director - Ads Data Engineering

USA - Remote, United States

Netflix

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Netflix is one of the world's leading entertainment services, with 283 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.

We recently launched a new ad-supported tier to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply immersed audiences.

Our Team
The Ads Data Science and Engineering team works with various partners to build the advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. Our team is new and yet faced with the ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.

The Netflix Advertising team is seeking a Data Engineering Director who will spearhead the development and management of data systems that power our advertising solutions. You will lead a team of talented data engineers and managers, overseeing a department that spans relationships across various functions and sub-functions. Your leadership will ensure the creation of robust, scalable, and efficient data pipelines and platforms, enabling Netflix to deliver targeted and impactful advertising experiences to our members while maintaining a strong commitment to data privacy and security.

You will partner with senior stakeholders across Product, TPM, Engineering, Data Science, and other cross-functional leaders to establish and execute the vision for Data Engineering for Netflix Advertising.

What you'll be doing:

  • Develop and execute a comprehensive vision and strategy for the Data Engineering department that aligns with Netflix’s advertising goals. Focus on near—and medium-term projects and deliver on a year-plus vision. Drive innovation and best practices in data management and architecture.

  • Lead and inspire a team of high-performing data engineers, fostering a culture of excellence, continuous learning, and a winning reputation for helping the business succeed.

  • Establish and nurture strong relationships across product, data science, analytics, and engineering leaders and partners, fostering collaborative success toward Netflix Advertising’s highest priorities.

  • 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 advertising technology, capable of driving global growth by establishing a robust, data-driven vision.

  • 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.

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Tags: Architecture AWS Azure Big Data Data management Data pipelines Engineering GCP Hadoop Kafka Pipelines Privacy Security Spark

Perks/benefits: 401(k) matching Career development Equity / stock options Flex vacation Health care Medical leave

Regions: Remote/Anywhere North America
Country: United States

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