Design and build scalable data flows, data warehouses, scheduling systems, query engines, data services, analytics systems, process standards, and data tools/products to lower the barrier to data usage, ensure stable and efficient system operations, and maximize data value.
Develop and maintain operational automation, scripts, workflows, dashboards and reports to reduce manual effort, improve data quality and provide timely service insights.
Adoption and Transformation: Partner with engineering teams to drive adoption of standards and best practices. Facilitate improvement initiatives across multiple domains and business units. Identify opportunities to reduce operational toil and improve engineering productivity. Measure and report adoption and effectiveness of practice initiatives.