Manager, Test Data Engineering Team

Live Nation Entertainment

Test Data Engineering Manager leading a primarily QA-background engineering team at Live Nation Entertainment. Building automated data testing solutions and driving data quality strategies across global teams.

Posted 5/8/2026full-timeRemote • Florida, Louisiana, Pennsylvania, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

Lead and grow a team of data quality engineers and test data engineers
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
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
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
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
Prioritize initiatives across multiple stakeholders and global teams
Eliminate manual validation processes through automation and engineering best practices

Requirements

What you’ll need

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., Great Expectations, Deequ, Soda)
Familiarity with streaming architectures and real-time validation
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
Versatile, hands-on mindset with a bias for execution
Passion for live music and events is a plus.

Benefits

Comp & perks

Medical, vision, dental and mental health benefits for you and your family
Free concert tickets, generous paid time off including paid holidays, sick time, and personal days
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
Volunteer time off, crowdfunding match

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data quality engineeringtest data engineeringdata quality frameworksautomated validationdata observabilityanomaly detectionsynthetic data generationdata profilingpipeline regression testingdistributed data systems

Soft Skills

technical leadershipproject prioritizationcross-functional collaborationanalytical skillsexecution biascommunicationteam managementproblem-solvingadaptabilitystakeholder engagement