Netflix is one of the world’s leading entertainment services with 278 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 Role

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 Senior Data Engineering leader who will spearhead the development and management of data systems that power our advertising solutions. You will lead a team of talented data engineers to build robust, scalable, and efficient data pipelines and platforms. Your work will enable Netflix to deliver personalized and impactful advertising experiences to our members while maintaining a strong commitment to data privacy and security.

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

What you'll be doing:

Build a vision and strategy for your team that aligns with Netflix’s advertising goals, and drive innovation and best practices in data management and architecture.

Engage, coach, and guide a team of high-performing data engineers to be a high-performing team with a winning reputation for helping the business succeed.

Create strong relationships across product, data science, analytics, and engineering leaders and partners that foster collaborative success toward Netflix Advertising’s highest priorities

Grow and mentor individual team members to reach their full potential through thoughtful observation and courageous, honest feedback, and build a culture of excellence and continuous learning 

Ideally, you are:

A leader with strong experience in advertising technology and has helped companies achieve global growth by establishing robust data driven vision 

A leader with a strong background in big data technologies such as Hadoop, Spark, Kafka, and cloud platforms (e.g., AWS, Azure, GCP), and you have led the teams to build large-scale data architectures with high volume and low latency

Passionate about the customer and have worked to provide impactful data that influence product direction or customer experiences

Have a proven track record of leading and developing high-performing teams, working on multiple priorities in a fast-paced environment.

An exceptional communicator with excellent analytical and problem-solving skills.

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 $480,000 - $1,200,000.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.