Test Data Engineering Manager

Live Nation Worldwide, Inc.; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Live Nation Worldwide, Inc. is seeking a full-time Test Data Engineering Manager to lead a globally distributed team and architect scalable automated data testing solutions, including synthetic data generation and regression frameworks.

Based in the United States, you will collaborate with cross-functional stakeholders across time zones to deliver high-quality data tests. You will design reusable data quality frameworks in Databricks, build scalable synthetic data tools and drive automated

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, Python, and SQL.
• Experience building automated validation or data quality frameworks.
• Familiarity with data observability tools and streaming architectures.

Responsibilities

• Design and implement reusable data quality frameworks integrated into Databricks pipelines.
• Build scalable solutions for synthetic data generation and automated regression testing.
• Lead and grow a team of data quality and test data engineers, promoting collaboration across global engineering teams.

Skills

Team leadership

Data engineering

Cross-functional collaboration

Data quality mindset

Tools

Databricks

Spark

Python

SQL

Data observability

Streaming architectures

Job description

Leading a globally distributed team, the full-time salaried Test Data Engineering Manager will drive the development of scalable automated data testing solutions, including synthetic data generation and regression frameworks, while collaborating with cross-functional stakeholders across multiple time zones.

Key Responsibilities

• Design and implement reusable data quality frameworks integrated into Databricks pipelines
• Build scalable solutions for synthetic data generation and automated regression testing
• Lead and grow a team of data quality and test data engineers, promoting collaboration across global engineering teams

Required 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, Python, and SQL
• Experience building automated validation or data quality frameworks
• Familiarity with data observability tools and streaming architectures