Manager, Data Engineering – Commerce

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.

The Commerce Product Data Engineering team is at the forefront of optimizing the member acquisition and commerce experience globally. We are responsible for the foundational data products that drive customer sign-up, payment processing, and core commerce flows. Our work directly empowers Product Management and Data Science to run sophisticated experimentation and generate key insights that impact our global member base and company revenue.

We operate with a strong product mindset, treating data pipelines and core frameworks as high-quality products that must be reliable, scalable, and easy to use.

The Role

We are looking for a strategic and highly technical Data Engineering Manager to lead a team of talented Data and Software Engineers. This role is unique and critical as it requires balancing engineering enablement with business data delivery.

You will lead a team responsible for driving engineering excellence, tooling, and strategic partnership with the central Data Platform organization while also delivering high-impact business data products.

Key Responsibilities

1. Team Leadership & Talent Development

• Lead and Inspire: Hire, coach, and grow a diverse, high-performing team of data and software engineers, fostering their technical and professional development through direct, constructive, and empathetic feedback.

• Define Vision: Develop and execute a clear, impact-oriented roadmap for the team, aligning both core data initiatives and engineering enablement goals with broader Commerce and company objectives.

• Drive Execution: Oversee the design, building, and scaling of robust, well-modeled, and reliable data products that support experimentation, analytics, and machine learning across the commerce domain.

2. Engineering Enablement

• Build Tooling & Frameworks: Lead a critical function within the team dedicated to building reusable data frameworks, development tooling, and automation capabilities that significantly increase the productivity, efficiency, and data quality of the entire Commerce Product Data Engineering organization.

• Operational Excellence: Define and drive best practices for data modeling, pipeline architecture, testing, and observability, ensuring a high bar for engineering excellence across the team.

• Data as a Product: Champion the concept of data products within the team, focusing on discoverability, documentation, and the unification of data from complex upstream commerce systems.

3. Platform Strategy & Stakeholder Partnership

• Influence Data Platform: Act as the primary technical partner to the central Data Platform team, proactively engaging to influence the direction, features, and capabilities of the core data platform to ensure it meets the unique needs of the Commerce Product Data Engineering team.

• Cross-Functional Alignment: Build strong relationships and collaborate effectively with senior stakeholders across Product Management, Data Science, Engineering, and Finance to translate ambiguous business requirements into robust, scalable technical solutions.

• Navigate Ambiguity: Provide clear direction and priority alignment in a fast-paced environment where business needs and technical challenges are constantly evolving.

The Ideal Candidate

• Engineering Leadership: You have 5+ years of experience in engineering leadership, managing and growing high-performing Data Engineering teams.

• Technical Acumen: You possess a strong background in data engineering, distributed systems, data modeling, and large-scale data processing technologies (e.g., Spark, Flink, or similar). You can guide complex architectural decisions and set a high technical bar.

• Tooling & Infrastructure Focus: You have specific, demonstrable experience leading efforts to build shared tooling, infrastructure, or platform features that enabled other data engineering teams to move faster and more reliably.

• Strategic Thinker: You look beyond immediate fixes to advocate for smart investments in infrastructure, efficiency, and long-term architectural value.

• Communication & Influence: You have exceptional stakeholder management skills, capable of building consensus and driving alignment across technical teams and senior business leaders.

• Product Mindset: You are passionate about the business value of data, understand the commerce/acquisition domain, and own the quality of the data products your team delivers end-to-end.

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.