• Design, build, and manage our data warehouse, data storage, and data ingestion solutions. • Implement robust and fault-tolerant systems for data ingestion and processing. • Develop canonical datasets to track key product metrics, including user growth, engagement, and revenue. • Understand and translate business needs into data models to support long-term, scalable, and reliable data pipelines • Enhance and maintain the Data Infrastructure using best practices and latest features to ensure high data quality. • Define and manage SLA’s for data sets and processes running in production • Continuously improve our data infrastructure and empower teams with the best data tooling and systems. • Build strong cross-functional partnerships with Data Analysts, Product Managers, and Software Engineers to understand data needs and deliver on those needs. • Participate in data architecture and engineering decisions, leveraging your strong experience and knowledge. • Build lineage and auditability into data pipelines • Be part of a data engineering team that is also responsible for the reliability of the data systems that are built and be available to respond to critical incidents as needed • Ensure the security, integrity, and compliance of data in accordance with industry and company standards.