• Design, build, and operate robust, fault-tolerant, and observable data pipelines using Airflow and modern ELT best practices • Architect, enhance and improve data ingestion, AWS data infrastructure, including Redshift, S3 and monitoring • Partner with Analytics, Product, Finance, Marketing, and Content teams to design canonical, analytics-ready datasets that power key metrics such as growth, engagement, retention, and revenue • Define, implement, and enforce SLAs, data quality checks, observability, and alerting for production data systems. Take shared ownership of data platform reliability, participating in on-call rotations and driving root-cause fixes for incidents • Contribute to design reviews, raising engineering quality, and sharing best practices • Evaluate and introduce data tooling that improves reliability, developer productivity, and analytics velocity • Collaborate deeply with cross functional teams to align event design, source systems, and data contracts