Senior Engineering Manager leading Chime's Data team to build scalable, AI-driven data platforms with strong governance. Requires 7+ years managing Data Engineering teams, experience with Spark/Snowflake/dbt, and partnering with Product, Analytics, and Data Science.
230k – 319k/yr
Hybrid7+ YOEEngineering Management
About the role
Responsibilities
Drive the next generation of FinTech innovation by leading AI-driven, data-centric initiatives that accelerate business growth, improve decision-making, and advance Chime's data platform.
Partner closely with Analytics, Product, Data Science, and cross-functional stakeholders to deliver high-quality, trusted, and secure data products while serving as a strategic thought partner to the business.
Lead, mentor, and grow high-performing engineering teams, fostering a culture of technical excellence, collaboration, innovation, and continuous learning.
Champion innovation and continuous improvement by establishing a clear sense of urgency and direction, setting high expectations for both the team and individual contributors, and driving operational excellence.
Collaborate across teams to prioritize work, resolve issues, and remove delivery obstacles, ensuring the team remains focused on delivering the highest business impact while maintaining engineering quality and velocity.
Requirements
7+ years of experience leading Data Engineering teams.
Proven experience building scalable, AI-ready data platforms, semantic models, and trusted data products.
Strong partnership with Product, Analytics, Data Science, and Marketing to deliver business outcomes.
Experience driving engineering excellence, including data quality, governance, CI/CD, and operational reliability.
Experience with Growth and Marketing data platforms, including attribution, funnels, and experimentation.
Experience in Supporting teams to deliver solution on tech stack such as Spark, Snowflake, Data Warehouse, Data Lake, Key-Value store, dbt.
Compensation
Base salary: $230,000 - $319,000.
Eligible for bonus, competitive equity package, and benefits.
Skills
Data Engineeringai-ready data platformssemantic modelsData GovernanceCI/CDSparkSnowflakedata warehousedata lakedbt
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