Test Data Engineering Manager

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