Director, Data Platform Engineering (databricks)

Live Nation Entertainment

Multiple Locations, US
Base: $180,000.00 - $225,000.00 usd; bonus/equity:...
**
10+ years data engineering experience
Expert in databricks performance optimization
Strong pyspark and spark development skills
** Live Nation Entertainment is seeking a Director of Data Platform Engineering to lead the development and enhancement of their data platform, particularly focusing on Databricks. The ideal candidate should have extensive experience in data engineering, strong leadership skills, and a deep understanding of modern data practices. **

Job Summary

  • The role involves defining the strategic direction for enhancing data platform tools and driving Databricks adoption across the organization.
  • Candidates will lead a team of data engineers to build scalable data ingestion services while fostering a culture of collaboration and innovation.
  • The company offers comprehensive benefits including medical, vision, dental, generous paid time off, free concert tickets, and stock programs.

Matching Summary

Match Score: 75

** Live Nation Entertainment is seeking a Director of Data Platform Engineering to lead the development and enhancement of their data platform, particularly focusing on Databricks. The ideal candidate should have extensive experience in data engineering, strong leadership skills, and a deep understanding of modern data practices. **

Salary

Base: $180,000.00 - $225,000.00 USD; Bonus/Equity: Stock Program included; Benefits: Medical, Vision, Dental, 401(k) match, PTO

Skills & Requirements

Must-have

  • 10+ years data engineering experience
  • Expert in Databricks performance optimization
  • Strong PySpark and Spark development skills
  • Experience with AWS, GCP, or Azure cloud services
  • Proven API development and data ingestion expertise

Nice-to-have

  • React UI development experience
  • Data mesh platform implementation knowledge
  • Full stack development background
  • Cross-functional team leadership in diverse environments

Key Requirements

  • 10+ years of data engineering experience
  • Deep technical experience with Databricks and Spark
  • Cloud service experience (AWS, GCP, or Azure)

Work Rights

Not specified

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