• Design, build, and operate cloud-based data infrastructure, optimizing for scale, performance, and cost efficiency as the size of our data grows • Automate data flows, and layer in monitoring, alerting, and data quality tests to ensure data is accurate and up-to-date • Build interfaces that allow for exposing data and associated processing functionality directly to end users and other systems • Design and implement production-grade ML/AI infrastructure, and partner with data scientists to take models into production • Build frameworks and internal self-service tooling that helps the data team deliver value faster