Support Solutions Engineer (L5) Data Platform, Big Data / Analytics

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. About the Engineering Support Organization The aim of the Engineering Support Organization is to enable Platform Engineering to effectively and sustainably scale the support they provide to their customers. The team  is the frontline resource for the engineering support needs of our customers (i.e., our workforce) - handling, troubleshooting, and resolving customer requests and issues. In addition, the team will focus on ways of working, customer advocacy, support tooling, platform product offerings, documentation, and developer education. Our Mission Deliver an excellent support experience to Netflix’s developer community. To advocate for our customers, follow through on issues and resolve them in a reasonable time. If blockers prevent immediate resolution, we communicate status and ensure there is visibility into why there is a delay. Provide insights, feedback and champion customer sentiment about the tools we support to our partners across Productivity and Data Platform Engineering. Partner with Product Management, Developer Education and Engineering to track and maintain visibility into ongoing issues and communicate customer needs to ensure improving in these areas is prioritized. Drive collaboration efforts to reduce product friction and increase usability so that Platform Engineering can build, deploy and deliver highly functional solutions for the Developer Community. The Role We are looking for a Support Solutions Engineer with a passion for data platform infrastructure and tooling, customer service, and automation. You will be responsible for monitoring and handling our customers’ requests, troubleshooting, solving issues, automating support needs, developing support documentation and runbooks, improving and maintaining support tools and automation, understanding our product offerings, and continuously looking for ways to improve the engineering support experience. Our ideal team member has first-hand experience working in customer-facing, engineering support roles, writing and building a comprehensive self-service knowledge base and has knowledge of infrastructure, internal tooling, platforms, and cloud computing. You are excellent at understanding and solving complex and ambiguous problems and constantly seek improvement. As an Engineer in this role, we need a candidate who can understand our complex offerings on a technical level, be hands-on in the development of our support automation tooling, and recommend product and operational improvements based on customer interactions. What you’ll need to be successful: A minimum of 5 years of professional support or engineering experience, particularly in Big data technologies including and not limited to Spark, Trino, Druid, Iceberg, Hadoop framework, Kafka and Flink. Prior experience supporting platforms built using open source technologies such as Apache Kafka, Spark, and Hadoop. You have worked with big data warehouse storage systems (e.g. Iceberg) You have at least 1 year of experience in providing technical support for Kafka clusters or other pub/sub systems like Google Cloud Pub/Sub, RabbitMQ, etc. Ability to read and write SQL queries to pull required complex data to support any reported issues/product defects Prior Experience with cloud infrastructure and/or container orchestration platform You have the desire and aptitude to learn how the pieces of the big data platform work together . Ability to adapt to new tools and technologies quickly, and a willingness to continuously learn and grow in the field of big data and data movement. You are a data-driven and evidence-based d ... (truncated, view full listing at source)