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Engineering Manager, Data Platform

San Francisco Office💼 Full-time💰 $199,000–$199,000🗓 2026-05-20 → 2026-07-31

Core

Lead the Data Storage team to build and operate reliable, scalable, and secure storage foundations powering analytics, experimentation, and AI-driven product experiences at Chime.

Role type

Senior Engineering Manager, Data Platform

Builds

Online and analytical data stores, low-latency metric serving layers, and AI-ready data foundations

Domain

Financial Technology / Data Infrastructure

Deliverable

production ML models | infrastructure

Required skills

High-scale software development, engineering team management, data architecture design, cloud data ecosystems, data governance and security, stakeholder collaboration, people leadership

Preferred skills

AI/ML data systems expertise, lakehouse architectures, modern data streaming technologies

Technologies

Snowflake, Iceberg, Spark, Flink, Kafka, Airflow, Kubernetes, AWS, GCP, Azure, Python, Java, Scala, SQL

Responsibilities

Own strategy and roadmap for Data Storage Platform; Design and evolve scalable storage architecture; Ensure performant and secure data access; Collaborate on data contracts and SLAs; Build tooling for governance and compliance; Manage and grow engineering team; Establish operational practices and SLOs; Stay ahead of industry trends in data storage and AI systems

Seniority

Senior, hands-on IC with management responsibilities

Rewrite
## Responsibilities - Own the strategy and roadmap for Chime’s Data Storage Platform, including Snowflake, data lake and online data stores for low-latency access. - Design and evolve scalable, high-performance storage architecture that balance reliability, cost, and ease of use for both analytical and in-product workloads. - Ensure performant and secure data access by defining and enforcing access patterns, partitioning and clustering strategies, indexing, and caching and serving layers for key datasets and metrics. - Collaborate across Data Platform and partner teams to define clear data contracts, schemas, and SLAs between producers, storage, and consumers. - Build tooling and automation for governance and compliance across sinks (e.g., RBAC, PII protection, tokenization, lineage, and auditability) in partnership with Security, Risk, and Compliance. - Manage and grow a team of engineers, setting clear expectations, providing coaching and feedback, and raising the bar on engineering quality and operational excellence. - Establish strong operational practices, including on-call, incident management, postmortems, and SLOs for the storage and serving layers your team owns. - Stay ahead of industry trends in data storage, lakehouse architectures, and AI/ML-ready data systems, and thoughtfully introduce technologies that improve our platform’s capabilities. ## Requirements - Have 8+ years of experience in high-scale, high-reliability software development, with a focus on platforms, infrastructure, and data storage systems. - Have 3+ years of experience managing engineering teams, including hiring, performance management, and developing engineers. - Have a track record of scaling products, platforms, and operations to support rapid growth in data volume, complexity, and criticality. ## Nice to Have - Experience with cloud-native data platforms and storage solutions. - Familiarity with AI/ML workflows and data pipelines. - Strong leadership and communication skills. ## Benefits - Base salary offered for this role and level of experience will begin at $199,000 and up to $275,000. - Full-time employees are also eligible for a bonus, competitive equity package, and benefits. - The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
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