Data Quality & Test Engineering Lead

Live Nation Entertainment Inc; Austin (TX); On-site; USD 128,000 - 160,000; Full time

Benefits offered by this job

Health benefits

Concert tickets

401(k) match

Family support

Tuition reimbursement

Volunteer time off

Job summary

Live Nation Entertainment is seeking a Test Data Engineering Manager to lead a globally distributed team building automated data testing solutions on a Databricks-based platform. You will drive data quality, validation libraries, and regression frameworks across diverse engineering teams to ensure reliable data pipelines powering Live Nation’s events and platforms.

The role emphasizes test-driven development, scalable data quality frameworks, and close collaboration with Data Engineering,

Qualifications

• 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.

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 measure and track data quality, pipeline health, and reliability metrics.
• Enable proactive detection of data issues in production environments.
• Team Leadership & Collaboration: 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.
• Strategy & Execution: 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.

Skills

Databricks

Spark

Python

SQL

Test Data Eng

Data quality

Great Expectations

Deequ

Soda

AI orchestration

JIRA

Agile

Cross-timezone work

Job description

Live Nation Entertainment is seeking a Test Data Engineering Manager to lead a globally distributed team building automated data testing solutions on a Databricks-based platform. You will drive data quality, validation libraries, and regression frameworks across diverse engineering teams to ensure reliable data pipelines powering Live Nation’s events and platforms.

The role emphasizes test-driven development, scalable data quality frameworks, and close collaboration with Data Engineering,