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Manager, Test Data Engineering Team
Remote / Online - Candidates ideally in
Lancaster, Lancaster County, Pennsylvania, 17622, USA
Listed on 2026-07-30
Lancaster, Lancaster County, Pennsylvania, 17622, USA
Listing for:
Live Nation, Inc
Full Time, Remote/Work from Home
position Listed on 2026-07-30
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
Work From Home
- Georgia:
Work From Home
- Texas:
Work From Home
- Louisiana:
Work From Home
- Florida:
Work From Home
- Pennsylvania time type:
Full time posted on:
Posted Todayjob requisition :
JR-89226
Job Summary:
** WHO ARE WE?
** Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders:
Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 620 million tickets sold annually and approximately 10,000 clients worldwide. Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 50,000 events annually for nearly 7,000 artists in 40+ countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect more than 1,200 sponsors with the 145 million fans that attend Live Nation Entertainment events each year.
For additional information, visit
** WHO ARE YOU?
** Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on!
You embody our core values of Keep it Simple, Be Inquisitive, Win Together, and Own It. You are passionate and motivated. Driven, happy to deal with and remove ambiguity, and have a strong entrepreneurial spirit. Versatile, autonomous high performer in multiple disciplines, and specifically in augmenting each discipline with an AI practice. You are skilled at building consensus, making data-driven decisions, and delivering world-class development experiences, especially when AI serves as a force multiplier.
You persuasively advocate for an idea while always staying open-minded and rigorously prioritizing. You have a bias towards action. Most of all, you love to dig in and build amazing things with your team, always 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, engineering-driven capability by building and managing a team focused on automated validation frameworks, test data engineering, and data observability within a Databricks-based platform.
The position requires driving research-led, iterative validation using TDD (Test Driven Development) practices, while managing multiple roadmaps and shared-service backlogs supporting diverse engineering teams. Highly visible, this role operates across North America, Europe, and Asia, partnering with cross-functional stakeholders to deliver reliable, scalable data solutions.
** Key Responsibilities
** Data Quality Platform Engineering
* Design and build reusable data quality frameworks integrated into Databricks pipelines.
* Develop standardized validation libraries (schema checks, freshness, volume, anomaly detection)
* Define and enforce data quality standards and “Definition of Done” across pipelines.
Test Data Engineering
* Build scalable solutions for synthetic data generation and masking.
* Develop replay frameworks for validating pipeline changes against production scenarios.
* Create automated regression testing harnesses for batch and streaming pipelines.
Data Observability & Reliability
* Establish monitoring, alerting, and SLA/SLO frameworks for data pipelines.
* Build tools to…
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