Manager, Test Data Engineering Team

Live Nation Entertainment

Elm (PA)

Remote

USD 150,000 - 210,000

Full time

5 days ago
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Benefits offered by this job

Medical benefits
Free concert tickets
401(k) with match
Parental leave program
Tuition reimbursement

Job summary

Live Nation Entertainment is seeking a Test Data Engineering Manager to lead a globally distributed team of QA-background engineers into an engineering-driven function focused on automated validation, synthetic data generation, and regression testing within a Databricks-based platform.

You will define data validation requirements, build reusable testing frameworks, and partner with Data Engineering, Product, and Analytics to embed quality across pipelines and backlogs, spanning NA, Europe, and

Qualifications

  • 5+ years in Data Engineering or related fields.
  • 2+ years in technical leadership or management.
  • Strong experience with Databricks, Spark, distributed data systems, Python and SQL.
  • Experience building automated validation or data quality frameworks.
  • Hands-on with data observability or validation tools; AI orchestration a plus.
  • Knowledge of anomaly detection and large-scale data validation patterns.
  • Experience with JIRA and agile user stories.
  • Willingness to work across time zones and odd hours.
  • Excellent analytical skills; experience with user behavior data is a plus.
  • Track record of launching test data solutions or BI validation apps.
  • Data quality checks embedded in pipelines; reducing manual validation.

Responsibilities

  • Design reusable data quality frameworks within Databricks pipelines.
  • Build scalable synthetic data generation and masking solutions.
  • Develop replay frameworks to validate changes against production data.
  • Create automated regression testing for batch and streaming pipelines.
  • Establish monitoring, alerting, and SLA/SLOs for data pipelines.
  • Lead and grow a team of data quality engineers and test data engineers.
  • Collaborate with Data Engineering, Product, Analytics to embed quality practices.
  • Drive enterprise data quality roadmap and automation adoption.

Skills

Databricks
Spark
Python
SQL
Data quality frameworks
Test Data Engineering
Data Observability
Leadership
JIRA & Agile

Tools

JIRA

Job description

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. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on!

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. 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.

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.

Data Quality Platform Engineering
  • Design and build reusable data quality frameworks integrated into Databricks pipelines.
  • 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 measure and track data quality, pipeline health, and reliability metrics.
  • Enable proactive detection of data issues in production environments.
  • Lead and grow a team of data quality engineers and test data engineers.
  • Partner with Data Engineering, Product, and Analytics teams to embed quality practices.
  • Drive adoption of frameworks and standards across global engineering pods.
  • Define and execute a long-term roadmap for enterprise data quality.
  • Eliminate manual validation processes through automation and engineering best practices.
Qualifications & Experience
  • 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.
  • ~ Hands-on with data observability or validation tools (e.g., AI orchestration experience a huge plus; ability to automate test data practices such as synthetic data generation, data profiling, and pipeline regression testing.
  • ~ Solid understanding of anomaly detection and large-scale data validation patterns (e.g., hash/Merkle-based validation), and/or major TDM tools for data profiling and sampling.
  • ~ Comfortable juggling multiple concurrent projects and setting priorities.
  • ~ Experience with JIRA / agile user story and acceptance criteria writing.
  • ~ Willingness to work with cross-functional teams across time-zones and odd hours as necessary.
  • ~ Excellent analytical skills required, experience with user behavior data will be a leg up.
  • ~ Track record of success launching test data solutions or BI validation applications.
  • ~ Data quality checks embedded in all critical pipelines.
  • Reduced time to detect and resolve data issues.
  • Elimination of manual QA validation processes.
  • Scalable frameworks adopted across global engineering teams.
Benefits & Perks
  • Medical, vision, dental and mental health benefits for you and your family, with access to a health care concierge, and Flexible or Health Savings Accounts (FSA or HSA)
  • Free concert tickets, generous paid time off including paid holidays, sick time, and personal days
  • WEALTH : 401(k) program with company match, stock reimbursement program
  • New parent programs including caregiver leave and baby bonuses, plus fertility, adoption, foster, or surrogacy support
  • Career and skill development programs with School of Live, tuition reimbursement, and student loan repayment

We aspire to build teams that reflect and support the fans and artists we serve. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with.

Live Nation strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, intersectionality, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation.

We also afford equal employment opportunities to qualified individuals with a disability. For this reason, Live Nation will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations related to pregnancy in accordance with applicable local, state and / or federal law. Live Nation will also provide reasonable religious accommodations on a case‑by‑case basis.

It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Live Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiter will only contact candidates from official Live Nation or affiliated brand email domains.

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