Data Architect

Founded in 1995 in San Jose, Calif., eBay (NASDAQ:EBAY) is where the world goes to shop, sell, and give. Whether you are buying new or used, plain or luxurious, commonplace or rare, trendy or one-of-a-kind – if it exists in the world, it probably is for sale on eBay. Our mission is to be the world’s favorite destination for discovering great value and unique selection.

StubHub is looking for an innovator who can guide our enterprise data management to new heights. To be successful in this role, you will need a combination of proven Data/database Architectural experience with eCommernce, Financial, Account system domain knowledge background, we offer an innovative development environment that delivers a world-class online ticketing experience to fans, If you’re passionate about data management, enjoy solving complex data challenges related to functionality/scale and looking for a platform to springboard your career, StubHub wants to hear from you.

* Create and maintain the Enterprise Data Model at the Logical and Physical Level * Steward of Enterprise Data Lifecycle Management including data storage, data retention, backup/recovery and data security technologies * Manage data design standards, master data and metadata management. * Manage data governance by bringing together stakeholders and driving data quality. * Leads strategy & architecture for Data Management * Champion & drive data architecture solutions from conception to implementation. * Participation in ARF architecture reviews

* Master's degree in CS/EE or equivalent experience, 7 ~10 years of Data Architect / Modeling experience * Demonstrated experience in design and implementation of an enterprise data model, metadata solution and data life cycle management in both RDBMS, Big Data environments. * Excellent understanding Oracle technologies and related products, strong experience using Oracle 11g, 12C RAC, ADG, Data Partition * Good knowledge of data modeling tools like ER Studio/ERwin * Expertise in information and integration architecture and technologies * Domain knowledge of eCommernce, Data Warehousing, Financial, Account system is a strong plus * Experience with Hadoop, HBase, Kafka, MS SQL Server is highly demanded * Strong leadership, communication and influencing skills * Must be able to work with diverse project teams with members representing many segments and levels of the organization