# Data Governance Engineer

**Company:** [Chime](https://hotfix.jobs/companies/chime)
**Location:** San Francisco, CA
**Role:** Data Engineering
**Salary:** $160k – $221k/yr
**Experience:** 5+ years
**Skills:** Python, Terraform, Snowflake, Data Catalog, Data Lineage, Metadata Management, Data Quality, SOX Compliance, AI Tools, Cloud Data Warehouses
**Posted:** 2026-04-28

> Builds automation, tools, and frameworks for data governance, quality, and compliance using Python and Terraform. Partners with engineering teams to implement trust signals, scorecards, and AI-enhanced workflows for reliable data at scale. Requires 5+ years experience.

## Job Description

## Responsibilities

- Build Data Trust Infrastructure: Design and implement trust scorecards, trust signals, and quality indicators that give data consumers real-time visibility into data reliability - and partner with producers upstream to embed quality checks at the source before issues propagate downstream.
- Drive Data Quality Strategy: Own and evolve Chime's data quality strategy end-to-end. Design and partner with engineering teams to implement data quality frameworks and monitoring systems that proactively identify, surface, and resolve data issues at scale.
- Develop and Implement Data Governance Policies: Create and enforce policies for data classification, quality, and lifecycle management, ensuring data integrity and compliance with SOX and other applicable regulatory standards.
- Enable the Data Catalog: Collaborate on the development, adoption, and enrichment of Chime's data catalog - improving discoverability, context richness (lineage, ownership, definitions, usage guidance), and the overall experience of working with Chime's data.
- Automate Governance Processes: Develop and deploy automation solutions for data governance tasks, such as metadata management, data lineage tracking, access controls, and quality remediation workflows.
- Champion SOX Compliance: Play an active role in Chime's SOX compliance efforts, ensuring that data governance practices, controls, and audit trails meet regulatory requirements and are well-documented.
- Lead AI Adoption for Data Governance: Serve as a leader and advocate for AI tooling within the data governance space - identifying opportunities to apply AI to automate governance workflows, improve data context, enhance trust scoring, and accelerate adoption of governance best practices across engineering teams.
- Collaborate Across Teams: Work closely with data engineers, analysts, and compliance officers to align data governance initiatives with business needs and regulatory requirements.

## Requirements

- **Experience**: 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.
- **Trust & Quality Expertise**: 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.
- **Programming Experience**: Proficiency in **Python** or a comparable programming language, and experience building scalable data tooling or automation pipelines.
- **Technical Proficiency**: Strong knowledge of data governance tools and platforms, and experience with cloud data warehouses like **Snowflake**. Experience with data catalog platforms and driving adoption across engineering organizations is a strong plus.
- **Bonus**: Compliance Knowledge: Familiarity with SOX, CCPA, and other data privacy and financial regulations, and ability to apply technical skills to governance practices that meet audit and compliance requirements.

## Compensation

Base salary: $160,000 - $221,000, plus bonus, equity, and benefits. Actual offer may vary based on location, skills, qualifications, and experience.

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