About the Role The Data Governance function is pivotal in ensuring the integrity, trustworthiness, and effective management of Chime's data assets. Our mission is to establish and operationalize data governance frameworks that not only meet compliance requirements, but actively enable high-confidence decision making across the company.  As a Data Governance Engineer, you will develop and implement policies and tools for data quality, developer enablement, certified datasets, and governance automation - with a sharp focus on building trust signals and scorecards that help data consumers quickly understand and act on the reliability of Chime's data. This is a hands-on engineering role. You will write production-quality code to build automation for governance and data quality processes using Terraform, Python (or similar languages), and contribute to internal libraries, frameworks, and orchestration workflows that enable scalable governance. You will partner closely with data engineering, analytics, product engineering, and compliance teams to: Support Chime in data compliance and risk reduction initiatives Establish data quality as a product discipline Build trust signals and scorecards that make data reliability transparent and data context valuable for a variety of use cases Implement governance workflows upstream , where data are created Ensure data context and metadata are sufficient for downstream use cases, including AI applications You will be involved in reviews of technical designs and implementation plans to provide guidance on appropriate development from a data governance and compliance perspective, acting as a trusted advisor to teams innovating at Chime. You will also be a strong advocate and leader for Artificial Intelligence tooling and adoption at Chime, bringing c Please mention the word **COMPLIANT** and tag RNTIuMjI1LjczLjE2Mg== when applying to show you read the job post completely (#RNTIuMjI1LjczLjE2Mg==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.