Data Platform & AI Engineering Leader

Chime; California (MO); On-site; USD 199,000 - 275,000; Full time

Benefits offered by this job

In-office policy

Backup care

Health benefits

Vacation policy

Parental leave

Family planning reimbursement

Job summary

Chime is seeking a seasoned Senior Engineering Manager for the Data team to guide architecture, governance, and delivery of a scalable, self-serve data foundation across the company. You will mentor engineers and set technical direction to enable rapid, trusted data access.

You will partner with Analytics, Product, Data Science, and Marketing to deliver high-impact data products, drive AI-ready platforms, ensure data quality and CI/CD excellence, and help shape growth initiatives.

Qualifications

• 5+ years leading Data Engineering teams.
• Proven experience building scalable, AI-ready data platforms.
• Strong partnership with Product, Analytics, Data Science, and Marketing.
• Experience driving data quality, governance, CI/CD, and reliability.
• Experience with Growth and Marketing data platforms (attribution, funnels, experimentation).

Responsibilities

• Lead data engineering teams to deliver a scalable data foundation.
• Partner with Analytics, Product, Data Science, and Marketing to deliver trusted data products.
• Foster technical excellence, collaboration, and continuous learning.
• Establish urgency and direction to drive delivery and impact.
• Prioritize work across teams to maximize business value while maintaining quality.

Skills

Data leadership

AI-ready data platforms

Data governance

CI/CD

Data quality

Cross-functional partner

Tools

Spark

Snowflake

Data Warehouse

Data Lake

dbt

Key-Value store

Job description

Chime is seeking a seasoned Senior Engineering Manager for the Data team to guide architecture, governance, and delivery of a scalable, self-serve data foundation across the company. You will mentor engineers and set technical direction to enable rapid, trusted data access.

You will partner with Analytics, Product, Data Science, and Marketing to deliver high-impact data products, drive AI-ready platforms, ensure data quality and CI/CD excellence, and help shape growth initiatives.