Chime Financial, Inc
Data Governance Engineer
San Francisco, CA, USA · Full-time
Sponsorship not specifiedDetected 21 days ago
PythonTerraformData EngineeringComplianceStakeholder ManagementCommunicationPlain LanguageSarbanes-Oxley
About the role
- The Data Governance function is pivotal in ensuring the integrity, trustworthiness, and effective management of Chime's data assets.
- Establish data quality as a product discipline
- Ensure data context and metadata are sufficient for downstream use cases, including AI applications
Responsibilities
- 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.
- Create and enforce policies for data classification, quality, and lifecycle management, ensuring data integrity and compliance with SOX and other applicable regulatory standards.
- 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.
- Develop and deploy automation solutions for data governance tasks, such as metadata management, data lineage tracking, access controls, and quality remediation workflows.
- You prioritize ruthlessly, define success before you start building, and care about adoption and outcomes - not just delivery.
- Support Chime in data compliance and risk reduction initiatives
- 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
- This role is 40% strategic influence, 40% development and building, and 20% stakeholder management and support.
- 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.
Requirements
- To thrive in this role, you have
- 5+ years in data engineering, data governance, or a related field, with hands-on experience in data classification, cataloging, quality assurance, and trust frameworks.
- Proficiency in Python or a comparable programming language, and experience building scalable data tooling or automation pipelines.
- You are genuinely curious about data, technology, and the problems that sit at the intersection of the two.
Nice to have
- 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.
Skills
- Own and evolve Chime's data quality strategy end-to-end.
Compensation
- The base salary for this role and level of experience will begin at $160,000.00 and go up to $221,000.00.
- The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
- 💰 Competitive salary based on experience
Benefits
- 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
- ✨ 401k match plus great medical, dental, vision, life, and disability benefits
- 🏝 Generous vacation policy and company-wide Chime
- Full-time employees are also eligible for a bonus, competitive equity package, and benefits.
Company info
- You treat your internal stakeholders as customers and design solutions with their experience in mind.
- Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates.
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This listing is sourced directly from Chime Financial, Inc's careers page and normalized into a canonical job model.