Databricks

Principal Engineer, Compute Fleet Management

Databricks(2 months ago)

HybridFull TimeSenior$264,300 - $322,300Compute Infrastructure
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About this role

The Technical Lead for Compute Fleet Management at Databricks defines the strategy and vision for how Databricks consumes and optimizes compute across major public clouds. This senior engineering role sits within the Compute Infrastructure team and influences platform architecture, reliability, and efficiency at hyper-scale, with direct impact on gross margin and customer experience. The position partners broadly across the organization to set technical direction and ensure the platform meets stringent availability and efficiency targets.

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Required Skills

  • Fleet Management
  • Fleet Optimization
  • Distributed Systems
  • Cloud Platforms
  • Scalability
  • Resilience
  • Resource Isolation
  • High Availability
  • Performance Optimization
  • Project Leadership

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Databricks

About Databricks

databricks.com

Databricks is a unified Data Intelligence Platform that helps organizations build, deploy, and manage data, analytics, and AI at scale. Built on Apache Spark and Delta Lake, it provides a “lakehouse” architecture that combines data engineering, ETL, data warehousing, streaming, and machine learning (including MLflow and feature store) in a single managed service. The platform includes collaborative notebooks, scalable compute across major clouds, and built‑in governance, security, and performance optimizations. Enterprises use Databricks to simplify data pipelines, accelerate model development with a data‑centric approach, and operationalize analytics and AI.

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