Engineering Manager - Pipelines Engine

Databricks

Mountain View, California, US
$190,000—$261,250 usd py
On-site
Next-generation etl features
State of art performance for etl
Agentic data engineering infrastructure
The Lakeflow Engineering team is responsible for Databricks ETL product line, running one of the world's biggest data engineering platforms processing exabytes of data daily

Job Summary

  • The Lakeflow Engineering team is responsible for Databricks ETL product line, running one of the world's biggest data engineering platforms processing exabytes of data daily.
  • The role involves leading an engineering team to build next-generation Runtime ETL features and spearheading Agentic Data Engineering infrastructure.
  • Responsibilities include leading an engineering team, overseeing recruitment and upskilling, building processes for product vision, managing technical debt, and ensuring high-quality, operable software.

Matching Summary

The Lakeflow Engineering team is responsible for Databricks ETL product line, running one of the world's biggest data engineering platforms processing exabytes of data daily.

Salary

$190,000—$261,250 USD

Skills & Requirements

Must-have

  • next-generation ETL features
  • state of art performance for ETL
  • Agentic Data Engineering infrastructure
  • high quality and easy to operate software
  • distributed systems
  • performance optimization

Nice-to-have

  • accelerating medical breakthroughs
  • solving toughest problems
  • customer needs understanding

Key Requirements

  • Minimum 3 years of experience managing engineering teams
  • 5+ years building data infrastructure systems
  • Experience working with product management and customers
  • Experience with testing, quality, and SLAs
  • Expertise in attracting, hiring, and coaching engineers

Work Rights

Not specified

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