• Collaborate with engineering, data science, ML, data engineering, and product analytics teams to understand and shape the future needs of our data platform and infrastructure. • Define, drive, and implement the future live ingestion layer of data into our data platform (e.g. Kafka, Kinesis). • Define and evolve standards for storage, compute, data management, provenance, and orchestration. • Monitor current and forecast future infrastructure needs and costs based on business requirements. • Implement and manage role-based access management. • Design and implement reusable tooling and frameworks for data consumers (e.g., data quality monitoring frameworks, templated pipelines, foolproof backfilling capabilities).