Data Governance Engineer

San Francisco Office💼 Full-time💰 $160,000–$160,000🗓 2026-05-28 → 2026-07-31

Core

Build automation for data governance, quality, and compliance frameworks to ensure data integrity and trustworthiness for Chime's financial technology platform.

Role type

Senior IC Data Governance Engineer

Builds

Production automation for data quality, metadata management, lineage tracking, and trust scorecards

Domain

Fintech / Data Governance & Compliance

Deliverable

production ML models | product features | infrastructure

Required skills

Python, Terraform, data classification, data cataloging, data quality assurance, regulatory compliance (SOX), cloud data warehouses (Snowflake), data lineage tracking, automation pipeline design

Preferred skills

AI tooling for governance, data privacy regulations (CCPA), data catalog platforms

Technologies

Terraform, Python, Snowflake

Responsibilities

Design and implement trust scorecards and quality indicators; Own and evolve data quality strategy; Create and enforce data governance policies; Collaborate on data catalog development; Automate governance processes; Champion SOX compliance; Lead AI adoption for data governance workflows

Seniority

Senior, hands-on IC

Rewrite

## Responsibilities - Develop and implement policies and tools for data quality, developer enablement, certified datasets, and governance automation. - 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. - Partner with data engineering, analytics, product engineering, and compliance teams to support 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 various use cases. - Implement governance workflows upstream where data are created. - Ensure data context and metadata are sufficient for downstream use cases, including AI applications. - Review technical designs and implementation plans to provide guidance on data governance and compliance. - Act as a trusted advisor to teams innovating at Chime. - Advocate and lead for Artificial Intelligence tooling and adoption at Chime. ## Requirements - 5+ years in data engineering, data governance, or a related field, with hands-on experience in data classification, cataloging, quality assurance, and trust frameworks. - Engineering ability to design and implement data governance and quality processes is critical to success. - Demonstrated experience building data trust signals, quality scorecards, or similar frameworks that make data reliability visible and actionable for both engineers and non-technical stakeholders. ## Nice to Have - Experience with AI tooling and its application to automate governance workflows, improve data context, enhance trust scoring, and accelerate adoption of governance best practices. - Experience with SOX compliance and ensuring data governance practices meet regulatory requirements. ## Benefits - Base salary ranging from $160,000.00 to $221,000.00. - Bonus, competitive equity package, and benefits. - Full-time employment eligibility.

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