Relativity is seeking a Lead Distributed Data Platform Engineer to design, build, and maintain scalable, reliable distributed data infrastructure supporting advanced analytics and machine learning workloads. The role involves leading the implementation of data platform capabilities, collaborating with cross-functional teams, and ensuring high availability of data services. Candidates should have strong experience with distributed systems, cloud technologies (AWS preferred), Java/Scala programming, and big data tools like Kafka, Spark, or Hadoop. This is a full-time position based in Chicago, offering an opportunity to lead innovative data platform engineering in a dynamic environment.