Lead Test Data Management Engineer
About The Position
The Lead Test Data Management Engineer is responsible for translating Huntington's Test Data Management (TDM) strategy into operational capabilities. This role serves as the bridge between architecture, engineering, governance, and delivery teams, driving the design, implementation, and adoption of enterprise test data capabilities that reduce reliance on production data in lower environments. The position combines technical leadership, solution design, and hands-on engineering expertise to establish repeatable test data services, accelerate pilot delivery, and create the foundation for a scalable Test Data Management capability.
Requirements
- Bachelor's Degree
- 5+ years of related experience or an additional 4 years of related work experience may be considered in lieu of the Bachelor's Degree
- Experience designing and implementing technology or data solutions.
- Experience with databases, APIs, data pipelines, automation frameworks, and software delivery practices.
- Demonstrated ability to lead complex technical initiatives across multiple teams and stakeholders.
- Experience with synthetic data generation, masking, tokenization, virtualization, or privacy-preserving data techniques.
- Experience implementing automated test data provisioning solutions.
- Familiarity with Agile delivery models, DevOps practices, and CI/CD integration.
- Experience evaluating and implementing technology platforms and vendor solutions.
- Strong understanding of data governance, risk management, compliance, and information security principles.
- Experience supporting large-scale application development and testing environments.
- Ability to balance strategic planning with hands-on technical execution.
Responsibilities
- Partner in defining the TDM roadmap and engineering priorities while providing technical leadership for implementation.
- Identify opportunities to eliminate production data usage in non-production environments.
- Provide analysis and recommendations for build-vs-buy evaluations, technology tradeoffs, and implementation decisions.
- Design and implement synthetic data generation and test data provisioning solutions.
- Build reusable automation, data pipelines, engineering patterns, and accelerators.
- Integrate TDM capabilities with testing, quality engineering, and CI/CD processes.
- Partner with application teams to onboard use cases and validate solutions.
- Evaluate and implement tooling to improve test data quality, availability, and efficiency.
- Maintain deep technical expertise in TDM tools, synthetic data technologies, and supporting platforms.
- Define and operationalize end-to-end test data lifecycle processes.
- Establish repeatable provisioning, refresh, archival, and retirement patterns.
- Define service models for requesting, generating, delivering, and maintaining test data.
- Establish reusable synthetic data patterns and data asset libraries.
- Develop standards for referential integrity and realistic test data creation.
- Define validation approaches to ensure synthetic data is fit for purpose.
- Measure and report progress toward reducing or eliminating production data usage.
- Support onboarding, training, and adoption activities across technology teams.
- Monitor emerging industry trends and recommend improvements to Huntington's TDM capabilities.
- Establish reusable engineering patterns and operational processes that support future scalability.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
