Manager, Test Data Engineering Team
About The Position
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.
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.
Nice To Haves
- 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.
- Optimism with drive, drive, drive.
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.
Benefits
- 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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
