Solution Architect

Live Nation Entertainment

Multiple Locations, United States
Base: $144,000.00 - $180,000.00 usd; bonus/equity:...
Fully remote
Databricks and spark experience
Aws cloud platform expertise
Delta lake and s3 storage
Live Nation Entertainment is seeking a Senior Solution Architect to join their Core Data Services team, focusing on designing and delivering scalable data solutions. The ideal candidate should have extensive experience in data engineering and architecture, particularly within cloud environments, and will work collaboratively to optimize data platforms for high-performance analytics

Job Summary

  • The role involves designing and delivering high-impact data solutions for the enterprise as part of the Core Data Services team.
  • Candidates must have deep experience with Databricks, AWS, and modern data stack tools to handle large-scale, high-frequency workloads.
  • Benefits include free concert tickets, a 401(k) match, and comprehensive health and family support programs.

Matching Summary

Match Score: 85

Live Nation Entertainment is seeking a Senior Solution Architect to join their Core Data Services team, focusing on designing and delivering scalable data solutions. The ideal candidate should have extensive experience in data engineering and architecture, particularly within cloud environments, and will work collaboratively to optimize data platforms for high-performance analytics.

Salary

Base: $144,000.00 - $180,000.00 USD; Bonus/Equity: Not specified; Benefits: Medical, vision, dental, 401(k) match, stock reimbursement

Skills & Requirements

Must-have

  • Databricks and Spark experience
  • AWS cloud platform expertise
  • Delta Lake and S3 storage
  • Python and SQL programming
  • Data modeling and ETL design
  • API development and integration

Nice-to-have

  • Snowflake or Redshift knowledge
  • BigQuery familiarity
  • Data governance best practices
  • Strong communication skills
  • Entrepreneurial spirit
  • Cost optimization focus

Key Requirements

  • Bachelor's or Master's degree in Computer Science
  • 10+ years of data engineering or architecture experience
  • Proven track record with large-scale data pipelines

Work Rights

Not specified

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