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15 часов назад

IT Manager - Data Platform & Engineering (AI)

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

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TL;DR
IT Manager - Data Platform & Engineering (AI): Building and leading an enterprise data platform and data engineering function that delivers governed, reusable data products for analytics, reporting, operational insights, and AI, with an accent on cloud platforms, reliable pipelines, and engineering standards. Focus on recruiting and developing the team, designing batch and streaming ingestion, implementing observability and data quality controls, and creating an AI-ready foundation under enterprise governance and security requirements.

Location: Corporate offices in Brownsville, Green Bay, Madison, Milwaukee, or Neenah, Wisconsin, United States

Company

hirify.global is a family-owned infrastructure contractor with approximately 10,000 employees and 18,000 pieces of heavy equipment.

What you will do

  • Recruit, hire, and develop the founding data engineering team.
  • Build and evolve the enterprise data platform across ingestion, storage, transformation, and orchestration layers.
  • Partner with business and IT stakeholders to prioritize the engineering backlog and balance value, speed, cost, risk, and maintainability.
  • Design, build, and optimize data pipelines and transformation logic as a hands-on technical leader.
  • Collaborate with data architecture and governance teams to create durable, interoperable platform decisions.
  • Establish engineering practices for reliable operations, support, automation, and future analytics and AI use cases.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent hands-on experience.
  • 8+ years of experience in data engineering, data platform engineering, or software engineering.
  • 4+ years leading technical teams, including hiring, coaching, and delivery accountability.
  • Experience building and operating large-scale cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, or BigQuery.
  • Hands-on proficiency with SQL, Python, orchestration, transformation, automated testing, CI/CD, and batch and streaming ingestion.
  • Experience with observable, reliable pipelines, monitoring, lineage, data quality, governance, privacy, security, and AI/GenAI use cases.

Culture & Benefits

  • Training investment averaging $5,000 per employee annually.
  • Health, dental, life, disability, flexible spending, and health savings account options.
  • 401(k), legal plan, and identity theft and monitoring plan.
  • Safety is treated as everyone’s responsibility.
  • Growth opportunities in a quality-focused organization.

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