# Director, Data Engineering

**Company**: Chime
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: executive
**Job type**: full-time
**Salary**: $269,000-$373,000 USD
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/chime/jobs/8765690002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/director-data-engineering-561d2db2-f2f/

## Description

## About the role

Data Engineering sits at the heart of Chime: nearly every product, analytics and AI initiative runs through the data our teams build. As a Director of Engineering, you'll lead Data Foundations and Insights, managing engineering managers and staff engineers who build the foundations the rest of Chime depends on. You'll partner closely with product, analytics, ML and business leaders to make sure our data reflects the true end state of the business for analysts and AI tools alike. And you'll play a core role in Chime's AI transformation, making sure the foundations are built right from day one.

## In this role, you can expect to

- Lead and grow an organization of engineering managers and staff engineers, setting a high bar for quality, reliability and ownership.

- Build strong partnerships with product, analytics, ML, risk and business leaders, and keep them confident in what your org delivers.

- Set the multi-year technical vision and roadmap for Chime's data foundations, and tie each investment to business and member outcomes.

- Make sure our data reflects the true end state of the business, so analysts and AI tools can trust it and act on it.

- Shape the data architecture that underpins Chime's AI transformation, making the right foundational calls early.

- Balance competing priorities across many partner teams, making clear trade-offs and explaining them well.

- Hire, coach and develop leaders, and build a team culture of trust, candor and inclusion.

## To thrive in this role, you have

- Experience leading engineering organizations through managers, including managing managers and staff-level engineers.

- A track record of building trusted partnerships with cross-functional partners and senior stakeholders, and keeping them aligned through competing priorities.

- Deep understanding of modern data architecture: ingestion, transformation, storage, governance, and serving data for analytics and ML/AI use cases.

- Experience setting technical strategy and a multi-year roadmap, and making the case for investment to executives.

- Sound judgment on architecture trade-offs at scale (batch vs. real-time, build vs. buy, cost vs. reliability), with the technical depth to earn credibility with staff engineers.

- Clear, concise written and verbal communication with both technical and non-technical audiences.

- Bonus: experience building data foundations for AI and LLM-powered tools, or working in fintech or another regulated industry.

## What we offer for our full-time, regular employees

- In-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.

- Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.

- Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.

- Generous vacation policy and company-wide paid days off.

- 1% of your time off to support local community organizations of your choice.

- Annual wellness stipend to use towards eligible wellness related expenses.

- Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents.

- Access to family planning reimbursement.

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## Skills

### Required
- modern data architecture
- data engineering
- leadership
- partnership building
- technical strategy
- communication

### Nice to have
- AI
- LLM-powered tools
- fintech
- regulated industry

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/chime/jobs/8765690002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
