IT Manager - Data Platform & Engineering

Michels Corporation; Green Bay (WI); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health & dental benefits

401(k) plan with company match

Training investment per employee

Job summary

Michels Corporation is seeking an IT Manager of Data Platform & Engineering to lead the enterprise data platform development and data engineering function. The role is a founding leadership position on the Enterprise Intelligence team, delivering trusted, governed data products to analytics, reporting, and AI initiatives.

You will partner across business and IT to enable analytics, reporting, and AI while creating a scalable data foundation for the future.

Qualifications

• Bachelor's degree in a technical field or equivalent hands-on experience.
• 8+ years in data engineering or software engineering with 4+ years leading technical teams.
• Proven experience building large-scale cloud data platforms and delivering governed data products.
• Hands-on proficiency with SQL, Python, orchestration, CI/CD, and both batch and streaming ingestion.
• Experience implementing data quality controls, lineage, and governance at scale.

Responsibilities

• Recruit and develop a founding data engineering team and establish operating practices.
• Lead buildout of the enterprise data platform, including ingestion, storage, transformation, and orchestration layers.
• Collaborate with business and IT stakeholders to prioritize the engineering backlog and balance value, speed, cost, risk, and maintainability.
• Remain hands-on with the team to design, build, and optimize data pipelines and transformation logic.
• Partner with data governance to ensure durable, interoperable platform decisions for analytics and AI use cases.
• Establish engineering disciplines that enable a lean team to operate reliably with AI and automation.

Skills

Data engineering

Team leadership

Cloud platforms

SQL

Python

CI/CD

Data governance

AI readiness

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Databricks

Snowflake

Microsoft Fabric

BigQuery

Job description

Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as an IT Manager of Data Platform & Engineering can change yours.

The IT Manager of Data Platform & Engineering leads the development and evolution of Michels’ enterprise data platform. As a founding leader on the Enterprise Intelligence team, they build and lead the data engineering function, establish engineering best practices, and deliver trusted, governed data products. This role partners across business and IT teams to enable analytics, reporting, operational insights, and AI while creating a scalable data foundation for the future.

Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as an IT Manager of Data Platform & Engineering can change yours.

The IT Manager of Data Platform & Engineering leads the development and evolution of Michels’ enterprise data platform. As a founding leader on the Enterprise Intelligence team, they build and lead the data engineering function, establish engineering best practices, and deliver trusted, governed data products. This role partners across business and IT teams to enable analytics, reporting, operational insights, and AI while creating a scalable data foundation for the future.

Why Michels?

• We are consistently ranked among the top 10% of Engineering News-Record’s Top 400 Contractors
• Our steady, strategic growth revolves around a commitment to quality
• We are family owned and operated
• We invest an average of $5,000 per employee on training each year
• We reward hard work and dedication with limitless opportunities
• We believe it is everyone’s responsibility to promote safety, regardless of job titles.
• We offer a comprehensive benefits program including (depending on your positions and location you may participate in a different benefit plan):
  • Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan

Why you?

• You thrive in fast-paced environments under tight deadlines
• You enjoy collaborating and communicating with your teammates
• You like to know your efforts are noticed and appreciated
• You have strong time management, verbal, and written communication skills

Key Responsibilities:

• Recruit, hire, and develop the founding data engineering team, establishing the roles, standards, and operating practices needed to scale responsibly.
• Lead the buildout of the enterprise data platform on the selected technology stack, implementing the ingestion, storage, transformation, and orchestration layers that convert raw source data into trusted, reusable assets.
• Partner with business and technology stakeholders to understand their needs and sequence the engineering backlog, making deliberate tradeoffs across value, speed, cost, risk, and maintainability.
• Stay hands-on as a technical leader, working alongside the team to design, build, and optimize the pipelines and transformation logic behind priority data products.
• Collaborate with data architecture and data governance peers to ensure platform decisions are durable, interoperable, and ready to support future analytics and AI use cases.
• Establish the foundational engineering disciplines that enable a lean team to reliably operate and support what it builds, using AI and automation to extend capacity.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related quantitative or technical field, or equivalent hands-on experience.
• 8+ years in data engineering, data platform engineering, or software engineering, including 4+ years leading technical teams with accountability for hiring, coaching, and delivery.
• Proven experience building and operating large-scale, complex cloud data platforms (e.g., Databricks, Snowflake, Microsoft Fabric, BigQuery) and delivering governed, reusable data products serving whole organizations across departments and technical personas.
• Deep hands-on proficiency with SQL, Python, and modern data engineering practices including orchestration, transformation, automated testing, CI/CD and both batch and streaming ingestion.
• Experience building reliable, observable pipelines with monitoring, lineage, and data quality controls that operate within enterprise governance, privacy, and security requirements.
• Track record of building AI-ready data platforms that are well-documented, well-structured, and trustworthy enough to serve both analytics and AI/GenAI use cases.

AA/EOE/M/W/Vet/Disability

https://www.michels.us/website-user-privacy-policy/