Manager, Test Data Engineering Team

Live Nation Entertainment is the world’s leading live entertainment company, and they are seeking a Test Data Engineering Manager to lead a team focused on building scalable, automated data testing solutions. The role involves defining data validation requirements, establishing reusable testing frameworks, and driving data quality initiatives across the organization.

Responsibilities:

• 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
• 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
• Prioritize initiatives across multiple stakeholders and global teams
• Eliminate manual validation processes through automation and engineering best practices

Requirements:

• 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
• 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
• Optimism with drive, drive, drive
• AI orchestration experience a huge plus; ability to automate test data practices such as synthetic data generation, data profiling, and pipeline regression testing
• Passion for live music and events is a plus