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3 часа назад

Lead Test Data Management Engineer (Synthetic Data)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Test Data Management Engineer (Synthetic Data): Designing and implementing enterprise test data capabilities, including synthetic data generation, provisioning services, reusable automation, and data pipelines, with an accent on lifecycle management, data quality, governance, and CI/CD integration. Focus on reducing production data usage, establishing scalable provisioning and archival patterns, and leading complex technical initiatives across architecture, engineering, governance, and delivery teams.

Location: Columbus, OH; office-based

Company

hirify.global is a banking organization developing enterprise technology and data capabilities.

What you will do

  • Translate the Test Data Management strategy into operational capabilities and help define the TDM roadmap and engineering priorities.
  • Design and implement synthetic data generation, test data provisioning, reusable automation, data pipelines, and engineering accelerators.
  • Integrate test data capabilities with testing, quality engineering, Agile delivery, DevOps, and CI/CD processes.
  • Define end-to-end test data lifecycle services covering requests, generation, delivery, refresh, archival, and retirement.
  • Establish synthetic data patterns, asset libraries, referential integrity standards, and validation approaches.
  • Lead onboarding, adoption, training, technology evaluations, and complex initiatives across multiple teams and stakeholders.

Requirements

  • Bachelor’s degree and 5+ years of related experience, or an additional 4 years of related work experience in lieu of the degree.
  • Experience designing and implementing technology or data solutions involving databases, APIs, data pipelines, automation frameworks, and software delivery practices.
  • Experience with synthetic data generation, masking, tokenization, virtualization, privacy-preserving data techniques, or automated test data provisioning.
  • Strong understanding of data governance, risk management, compliance, and information security principles.
  • Ability to balance strategic planning with hands-on technical execution and lead initiatives across teams.
  • Ability to work in the Columbus, Ohio office; specific arrangements are determined by the hiring team.

Culture & Benefits

  • Office workplace model with some positions potentially eligible for flexible work arrangements.
  • Combination of in-office and work-from-home collaboration may be available depending on the role and hiring team.
  • Equal opportunity employer.
  • Tobacco-free hiring practice.

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