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Director, Data Engineering (AI/ML)

Формат работы
hybrid
Тип работы
fulltime
Грейд
director
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
Director, Data Engineering (AI/ML) (Snowflake/Databricks/Azure): Optimizing and scaling a large-scale data platform, including data pipelines, infrastructure, models, and platform components, with an accent on solution architecture, distributed processing, governance, and AI/ML readiness. Focus on designing high-complexity platform capabilities, resolving production and scalability issues, setting architectural standards, and leading data engineering teams.

Location: Cincinnati, Ohio, United States; hybrid

Company

hirify.global operates in the insurance industry.

What you will do

  • Lead the technical evolution, optimization, rearchitecture, and scaling of a large-scale data platform.
  • Act as solution architect for data engineering initiatives and personally design, prototype, and develop critical platform components.
  • Build and maintain an AI/ML-ready data platform with reliable data models, governance, observability, and secure access.
  • Evaluate and implement data platform tooling for storage, orchestration, compute, and streaming.
  • Diagnose complex production issues and address technical debt, performance bottlenecks, and scalability challenges.
  • Set technical direction, manage and mentor data engineers, and contribute to roadmap, prioritization, budgeting, and resource planning.

Requirements

  • Bachelor's degree in Computer Science or a related field, or equivalent work experience.
  • 10+ years of data engineering experience, including optimization and scaling of large-scale mature data platforms.
  • 3+ years in an architecture role with direct ownership of solution designs.
  • 3+ years managing data engineering teams with direct people-management responsibilities.
  • Hands-on experience with Snowflake or Databricks, Azure Synapse Analytics or Microsoft Fabric, and modern cloud data platforms and lakehouse architectures.
  • Strong proficiency in at least two of Python, Scala, and SQL, plus experience with data governance, security, compliance, infrastructure as code, and CI/CD.

Nice to have

  • Experience designing or implementing agentic workflows for data engineering.
  • Experience with Property & Casualty insurance carriers.
  • Experience with Data Vault 2.0 or Ensemble data modeling.

Culture & Benefits

  • Medical, dental, vision, and life insurance.
  • Short- and long-term disability coverage.
  • Company-matched 401(k) plan with 100% matching of contributions up to 6%.
  • Employee Assistance Plan, Health Savings Account, Flexible Spending Account, and Health Reimbursement Account.
  • Wellness program and opportunities for professional development and advancement.

Work authorization: Applicants must already be authorized to work for any employer in the United States. Visa sponsorship is not available now or in the future.

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