обновлено 4 дня назад
Director, Data Engineering (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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