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AVP, Data Engineering

173 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
head
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
AVP, Data Engineering (Azure/Python/SQL): Building and leading modern cloud-based data and analytics capabilities for a global insurance organization with an accent on Azure architecture, governance, scalability, and advanced analytics delivery. Focus on defining data strategy, leading engineering teams, accelerating cloud adoption, and delivering secure, reliable self-service data platforms.

Location: Hybrid role based in Warren, New Jersey, United States

Salary: $173,000–$220,000 annually

Company

hirify.global is a global risk management and insurance organization with more than 50 years of experience supporting businesses, economies, and communities.

What you will do

  • Define and execute data and analytics technology strategies and roadmaps aligned with business objectives.
  • Lead multiple engineering teams while contributing to technology strategy, architecture, and hands-on execution.
  • Design and deliver a modern cloud-based data ecosystem, including tooling, governance, controls, and scalable architecture.
  • Enable rapid ingestion of new data sources and deployment of advanced analytics and AI models into production.
  • Drive cloud adoption, automation, DevOps practices, data quality, security, and reusable engineering capabilities.
  • Coordinate delivery teams to ensure projects are completed on time, within scope and budget, and to high quality standards.

Requirements

  • 8+ years of experience in data engineering and advanced analytics or data access capabilities.
  • 5+ years of experience managing and leading technical teams.
  • 10+ years of experience in the insurance or financial services industry.
  • Strong proficiency with Microsoft Azure, including Azure Data Factory, Databricks, and cloud-based data platforms.
  • Strong programming and data engineering experience with Python and SQL.
  • Experience with modern data engineering practices, cloud architectures, analytics platforms, stakeholder management, and strategic roadmap development.

Culture & Benefits

  • Inclusive workplace focused on collaboration, leadership, execution, efficiency, and belonging.
  • Health insurance coverage and an employee wellness program.
  • Life and disability insurance.
  • 401(k) match and retirement savings plan.
  • Paid holidays and paid time off.

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