• Design and implement scalable and efficient data architectures, meeting data needs from data scientists, engineers and business partners • Identify and implement improvements to system’s cost efficiency, reducing data storage and processing costs • Model structured & unstructured data and own data models at a high level; act as a data consultant for partner teams • Champion best practices on system usages and hold high-quality code standards • Participate in the team’s oncall rotation, helping solve timely reliability incidents • Design and scale data lake, data pipelines, distributed query engines, experimentation framework, and dashboards • Improve system reliability, create/improve tooling, and promote correct use of data across the company • Optimize, enhance or re-design company’s data architecture/pipelines to support next generation data initiatives