Creating member segmentations is one of the main functions of a marketing team at any Internet company. Marketing teams are constantly creating various member segments to tailor to the needs of marketing campaigns and these needs change frequently. Therefore there is a huge need for a self-service member segmentation platform that is easy to use and scalable to support large member data set. This presentation will go into the architecture of the LinkedIn Member Segmentation platform and how it leverages Hadoop technologies like Apache Pig, Apache Hive and enterprise data warehouse system like Teradata to provide a self-service way to create and manage member segmentations. In addition, it will also cover some of the interesting challenges and lessons learned from building this platform.