Netflix is one of the worlds 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.<h1>Our story</h1>Platform Engineering is focused on providing technical products, tools, and services that enable Netflix to scale and innovate. We want to empower Netflix engineers to focus on building innovative experiences for our members and creators around the world. We deploy hundreds of services, on thousands of instances, across multiple regions, and millions of client devices. Platform Engineering teams focus on increasing agility, efficiency, and reliability across our compute, networking, productivity, and data products.Within Platform Engineering, the Data Platform organization powers how Netflix stores, processes, and interacts with data at scale. Two critical pillars of this organization are BDAP (Big Data Analytics Platform) and ADX (Analytics Developer Experience).BDAP is the core analytics infrastructure, providing orchestration, compute, and warehouse technologies to support ETL, machine learning and AI, reporting, and large-scale querying. It manages over an exabyte of data, powers hundreds of thousands of workflows per day, and enables analytics at massive scale through engines like Spark, Trino, Druid, and Snowflake.ADX plays a critical role in enabling data practitioners by enhancing the end-to-end developer experience on Netflix’s Data Platform. ADX goes beyond building infrastructure - the teams focus on enablement, creating platforms and tooling that reduce complexity, accelerate development, and empower data practitioners to solve complex analytical problems and drive innovation at scale. ADX also works closely with security, infrastructure, and metadata systems to ensure that working with data is as seamless, scalable, and responsible as possible. <h1>The Role</h1>This role will work on strategic and executional priorities to drive highly visible programs across both BDAP and ADX - shaping the future of analytics infrastructure and the experience of data practitioners at Netflix. From orchestrating modernization efforts and compute engine migrations, to delivering intuitive, cohesive tooling for data exploration and visualization, you will align teams around cross-functional initiatives that are critical to Netflix’s scale and innovation velocity.A successful candidate will have experience in platform infrastructure and data developer tooling, especially in the context of big data systems or analytics environments. They will have demonstrated success leading complex, multi-org technical programs, bringing clarity to ambiguous spaces, and driving sustained delivery through alignment, trust, and execution excellence.If you’re looking for a high-impact, technically dynamic opportunity that improves how thousands of engineers, analysts, and scientists work with data at Netflix - we’d love to talk to you.<h1>What you will do</h1><ul><li>Own and drive multiple cross-functional programs across BDAP and ADX, working with technical teams (including engineering, product and design) to build a cohesive analytics and developer experience for Data Engineers and Data Practitioners</li><li>Translate strategic goals into executable roadmaps and ensure successful delivery across engines, orchestration systems, user tooling, and data environments</li><li>Bring structure to complex and interconnected problems </li><li>Drive cross-team coordination, define measurable milestones, and proactively manage risks, blockers, and delivery health</li><li>Align partner orgs across Infrastructure, Product, Security and Tech around shared architectural and user goals</li><li>Manage cross functional dependencies, risks, and changes effectively by optimizing scope, schedule, and resources accordingly.</li></ul><h1>What we are looking for:</h1><h3>Functional Skills </h3><ul><li>Are passionate about the customer experience of data tools</li><li>Build trust with engineers, credibility with product, and alignment with leadership through clear communication and dependable delivery.</li><li>Thrive in ambiguity and bring clarity and direction to large-scale platform initiatives</li><li>Nimble and adaptable, able to shift focus, re-prioritize, and guide teams through change in response to evolving business needs</li><li>Passionate about improving the developer experience for data practitioners</li><li>Capable of working across the stack - from infrastructure and data engines to user-facing tools and workflows</li></ul><h3>Basic Qualifications</h3><ul><li>10+ years of experience delivering technical programs involving data platforms and/or data analytics infrastructure</li><li>Demonstrated success managing programs across cross-functional teams with technical depth and broad stakeholder engagement</li><li>Self-starter who enjoys tackling 0 to 1 problem spaces and quickly bringing organization and direction</li><li>Excellent written and verbal communication skills, tailored to both technical and executive audiences</li><li>Hands-on approach. Not afraid to pull data, dive into logs, or whiteboard solution paths.</li></ul><h3>Additive Qualifications</h3><ul><li>Familiarity with tools like Spark, Trino, Druid, Snowflake, or Flink</li><li>Experience in notebook platforms, dbt, workflow orchestration, or metadata systems</li><li>Background in enabling ML/analytics teams or building developer-facing data products</li><li>Understanding of security, cost optimization, or governance in a large-scale data platform environment</li></ul>As a team, we come from many different backgrounds and countries. Our fields of education range from the humanities to engineering to computer science, and we strive to give people the opportunity to wear different hats, should they choose to. We strongly believe this diversity and agility have helped us build an inclusive and empathetic environment, and we are looking forward to adding your perspective to the mix!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 $100,000 - $720,000.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 details about our Benefits <a href="https://jobs.netflix.com/work-life-philosophy" target="_blank">here</a>.<a href="https://about.netflix.com/en/inclusion" target="_blank">Inclusion</a> 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.