Test Data Engineering Manager – Data Quality & Observability

Live Nation; Washington; Hybrid; USD 140,000 - 195,000; Full time

Job summary

Live Nation is seeking a Test Data Engineering Manager to lead a distributed team focused on automated data validation and synthetic data generation. You will partner with engineering, analytics, and product teams to build scalable testing platforms integrated into deployment pipelines.

This role emphasizes data observability, TDD practices, and cross-region collaboration across North America, Europe, and Asia to ensure reliable data solutions and high-quality release cycles.

Qualifications

• 5+ years in Data Engineering, Test Data Engineering, or related fields.
• 2+ years in a technical leadership or management role.
• Hands-on with data observability or validation tools (e.g., Great Expect)

Responsibilities

• Design and build reusable data quality frameworks integrated into Databricks pipelines.
• Develop automated validation libraries (schema checks, freshness, volume, anomaly detection)
• Lead and grow a team of data quality engineers and test data engineers.
• Define and execute a long-term roadmap for enterprise data quality.
• Collaborate with Data Engineering, Product, and Analytics teams to embed quality practices.

Skills

Data quality

Test Data Eng

Team leadership

Databricks

Tools

Databricks

Spark

Python

SQL

Job description

Live Nation is seeking a Test Data Engineering Manager to lead a distributed team focused on automated data validation and synthetic data generation. You will partner with engineering, analytics, and product teams to build scalable testing platforms integrated into deployment pipelines.

This role emphasizes data observability, TDD practices, and cross-region collaboration across North America, Europe, and Asia to ensure reliable data solutions and high-quality release cycles.