• Build data pipelines: Managed data pipelines consist of a series of stages through which data flows from data sources of acquisition to integration to consumption for specific use cases. These data pipelines must be created, maintained, and optimized as workloads move from development to production for specific use cases. Architecting, creating, and maintaining data pipelines will be the primary responsibility of the data engineer. • Drive Automation through effective metadata management: The data engineer will be responsible for using innovative and modern tools, techniques, and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. The data engineer will also need to assist with renovating the data management infrastructure to drive automation in data integration and management. • Collaborate across departments: The newly hired data engineer will need strong collaboration skills to work with varied stakeholders within the organization. In particular, the data engineer will work in close relationship with research teams and with data analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements. • Become a data and analytics evangelist: The data engineer will be considered a blend of data and analytics "evangelist," "data guru" and "fixer." This role will promote the available data and analytics capabilities and expertise to business unit leaders and educate them in leveraging these capabilities in achieving their business goals.