Engineering Manager, Data Platform

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Own the strategy and roadmap for Chime's Data Storage Platform, including Snowflake, data lake, and online data stores for low-latency access.
• 2
  Design and evolve scalable, high-performance storage architecture that balances reliability, cost, and ease of use for both analytical and in-product workloads.
• 3
  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.
• 4
  Collaborate across Data Platform and partner teams to define clear data contracts, schemas, and SLAs between producers, storage, and consumers.
• 5
  Manage and grow a team of engineers, setting clear expectations, providing coaching and feedback, and raising the bar on engineering quality and operational excellence.

RequirementsAI-extracted

• 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.
• Bring deep experience with data infrastructure components, such as data lakes and lakehouses, data warehouses, online and offline data stores, and both batch and real-time streaming systems.
• Have proven expertise in system and data architecture for scalable, secure, and cost-efficient data platforms, including schema design, data modeling, and partitioning strategies.
• Are comfortable working with modern data and infrastructure technologies, such as Spark, Flink, Kafka, Airflow, Kubernetes, and similar tools.

Perks & BenefitsAI-extracted