• Design, build, and maintain scalable data pipelines that extract, transform, and load (ETL/ELT) data from various internal and external systems • Develop efficient and reliable data models that support reporting and analytics needs across business functions • Implement data quality checks and monitoring to ensure accuracy, completeness, and consistency of critical datasets • Manage and optimize data storage solutions (e.g. data warehouses, data lakes), ensuring scalability, security, and performance • Partner closely with analysts and business stakeholders to understand their data needs and deliver well-documented, high-quality data assets • Work with Engineering teams to instrument new data sources and drive data-driven culture across the organization • Develop automated processes for data ingestion, transformation, and validation; implement monitoring to proactively detect issues • Provide insights via easily digestible visualizations in Tableau and ad-hoc