Manager, Test Data Engineering Team
Core
Lead a globally distributed team to build scalable, automated data testing solutions, synthetic data generation, and data observability frameworks within a Databricks-based platform.
Role type
Manager, Test Data Engineering
Builds
Automated validation frameworks, synthetic data generation tools, regression testing harnesses, and data observability monitoring systems.
Domain
Live entertainment industry, Data Engineering, Data Quality
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data Engineering, Test Data Engineering, Team Leadership, Databricks, Apache Spark, Python, SQL, Automated Validation Frameworks, Data Observability, Streaming Architectures, Anomaly Detection, Agile Project Management
Preferred skills
AI Orchestration, Synthetic Data Generation, Data Profiling, TDM Tools, User Behavior Data Analysis
Technologies
Databricks, Spark, Python, SQL, JIRA, Great Expectations, Deequ, Soda
Responsibilities
Design and build reusable data quality frameworks integrated into Databricks pipelines; Build scalable solutions for synthetic data generation and masking; Lead and grow a team of data quality and test data engineers; Establish monitoring, alerting, and SLA/SLO frameworks for data pipelines; Define and execute a long-term roadmap for enterprise data quality.
Seniority
Manager, hands-on technical leadership