Senior Software Engineer, Data Governance

Chime; San Francisco (CA); On-site; USD 160,000 - 221,000; Full time

Benefits offered by this job

Competitive salary

401(k) match

Generous vacation policy

Paid parental leave

Job summary

Chime is seeking a Data Governance Engineer in San Francisco to ensure the integrity and effective management of data assets. You will partner with various teams, develop policies for data quality, and implement governance frameworks that enhance decision-making across the organization.

This role requires 5+ years in data governance, expertise in Python, and the ability to navigate complex regulatory environments. Competitive salary, hybrid work options, and comprehensive benefits are offered.

Qualifications

• 5+ years in data engineering, data governance, or a related field.
• Hands-on experience building data trust signals and quality scorecards.
• Proficiency in Python and scalable data tooling.

Responsibilities

• Partner with teams to support data compliance initiatives.
• Build Data Trust Infrastructure with trust scorecards.
• Drive data quality strategy end-to-end.

Skills

Data governance expertise

Python proficiency

Data quality strategy

Communication skills

Regulatory knowledge

AI application advocacy

Education

5+ years in data engineering or governance

Tools

Snowflake

Automation tools

Job description

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, and contribute to internal libraries, frameworks, and orchestration workflows that enable scalable governance.

Key Responsibilities

• 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, implement governance workflows upstream, and ensure data context and metadata are sufficient for downstream use cases, including AI applications.
• Review 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.
• Advocate for artificial intelligence tooling and adoption at Chime, identifying opportunities where AI adds leverage in data governance workflows.
• Allocate time to strategic influence (40%), development and building (40%), and stakeholder management (20%).
• 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.
• 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 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, and usage guidance.
• Automate governance processes: Deploy automation solutions for metadata management, data lineage tracking, access controls, and quality remediation workflows.
• Champion SOX compliance: Ensure that data governance practices, controls, and audit trails meet regulatory requirements and are well documented.
• Lead AI adoption for data governance: Identify 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: Align data governance initiatives with business needs and regulatory requirements.

Qualifications

• 5+ years in data engineering, data governance, or a related field, with hands‑on experience in data classification, cataloging, quality assurance, and trust frameworks.
• Demonstrated experience building data trust signals, quality scorecards, or similar frameworks that make data reliability visible and actionable.
• Proficiency in Python or a comparable programming language, and experience building scalable data tooling or automation pipelines.
• Strong curiosity and persistence in addressing ambiguous problems and delivering solutions.
• Ability to navigate complex regulatory, business, and technical environments, breaking them into manageable pieces.
• Excellent communication skills, able to write clear one‑pagers, run effective meetings, and translate technical concepts into plain language.
• Product‑management mindset: prioritize ruthlessly, define success before building, and focus on adoption and outcomes rather than mere delivery.
• Curiosity and advocacy for AI applications in data governance.
• Technical proficiency with data governance tools, platforms, cloud data warehouses such as Snowflake, and data catalog platforms.
• Bonus: familiarity with SOX, CCPA, and other data privacy and financial regulations, and ability to apply technical skills to meet audit and compliance requirements.

Benefits

• Competitive salary based on experience, with a base salary range of $160,000 to $221,000, plus bonus, equity, and benefits.
• Four days a week in the office and Fridays from home for those within proximity to an office, with fully remote options available for other locations.
• In‑office perks including backup child, elder, and pet care, commuter benefits, and wellness stipend.
• 401(k) match, medical, dental, vision, life and disability benefits.
• Generous vacation policy, company‑wide paid days off, and support for local community organizations.
• Paid parental leave: up to 24 weeks for birthing parents and 12 weeks for non‑birthing parents.
• Access to a family‑planning tool with $15,000 lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
• Opportunities to attend in‑person and virtual events, including cooking classes, guided meditations, music festivals, and other activities.
• Inclusive and diverse environment encouraging creativity and growth.

Equal‑Opportunity Employer

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis. We also consider qualified applicants with criminal histories in compliance with applicable laws. If you have a disability or special need that requires accommodation during the application process, please contact [e-mail].

For additional privacy information regarding how your personal information is used during the application process, please review the Chime Applicant Privacy Notice.