Engineering Manager - Pipelines Engine

Added
3 days ago
Type
Full time
Salary
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Related skills

data engineering etl spark apache spark lakeflow

πŸ“‹ Description

  • Lead the next-generation ETL features for the Lakeflow platform.
  • Oversee recruitment and upskilling of the team.
  • Build processes to execute product vision and strategy aligned with priorities.
  • Deliver high-quality, reliable software that is easy to operate.
  • Manage technical debt and long-term architecture decisions with roadmap balance.
  • Drive pipelines engine development powering data pipelines.

🎯 Requirements

  • Minimum 3 years of experience managing top-tier engineering teams.
  • 5+ years building data infrastructure like Apache Spark or database internals.
  • Passion for database systems, storage systems, distributed systems, or performance optimization.
  • Experience working with product management and directly with customers.
  • Experience attracting, hiring and coaching engineers.
  • Ability to test, ensure quality, and define SLAs of a product.

🎁 Benefits

  • Comprehensive benefits and region-specific details.
  • Access to Databricks benefits site for regional specifics.
  • Equity opportunities and other perks.
  • Health, dental, vision and generous time off.
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