• Design, implement, and maintain robust, automated data pipelines using modern ETL and ELT tools, including Fivetran for ingestion and dbt for transformation and orchestration. • Model and optimize data in Snowflake to support analytics, operational reporting, and automation, particularly for finance, people, and legal teams. • Ensure data reliability through automated quality checks, monitoring, observability, and lineage visibility. • Build reusable abstractions, libraries, and internal frameworks, primarily in TypeScript and SQL, to support scalable ingestion and transformation of structured and unstructured data. • Partner closely with analytics, engineering, and business stakeholders to deliver consistent, executive-ready insights through tools such as Metabase and a centralized corporate dashboard. • Leverage AWS and infrastructure as code to manage data storage, compute, and deployment workflows in a secure and scalable way. • Continuously evolve data architecture to meet changing needs around performance, scale, governance, security, and compliance.