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. Our story 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.