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NEXTMOVEFDE careers · United States

Manager, Test Data Engineering Team

AI summary of the role

Live Nation Core Data Services seeks a Test Data Engineering Manager to lead a globally distributed team building scalable, automated data testing solutions on a Databricks platform.

What you’ll do

  • Design and build reusable data quality frameworks integrated into Databricks pipelines.
  • Build scalable solutions for synthetic data generation, masking, and replay frameworks for validating pipeline changes.
  • Establish monitoring, alerting, and SLA/SLO frameworks for data pipelines.
  • Lead and grow a team of data quality engineers and test data engineers.

What you’ll bring

  • 5+ years in Data Engineering, Test Data Engineering, or related fields.
  • 2+ years in a technical leadership or management role.
  • Strong experience with Databricks, Spark, distributed data systems, Python and SQL.
  • Experience building automated validation or data quality frameworks.

Technologies

Databricks · Spark · Python · SQL · Great Expectations · Deequ · Soda · JIRA · TDD · streaming architectures

About Live Nation Entertainment

Vertically integrated live-entertainment stack: concert promotion, Ticketmaster ticketing, venue operations, sponsorship, premium hospitality, and artist services at global scale.

Public · 5000+ people

Source and classification

Deployment team leadership · Evidence for this classification:

pushing the envelope. THE ROLE Live Nation Core Data Services is seeking a Test Data Engineering Manager to lead and evolve a team of primarily QA-background engineers into a high-performing, engineering-driven function. This role focuses on building scalable, automated data testing solutions, including synthetic data generation, test harnesses, and regression frameworks integrated into deployment pipelines.The manager will partner with internal stakeholders to define data validation requirements and establish reusable testing frameworks across the organization. This is a globally distributed team spanning the US, UK, and offshore, requiring strong cross-time-zone collaboration. This is a high-impact role within an entrepreneurial team backed by the scale and reach of a global live entertainment leader. The role leads the transformation of data quality into a scalable,
How jobs are selected

Employer postings · Data from · Sources