ZipRecruiter

Log In

1

Data Platform Manager Jobs in Wisconsin (NOW HIRING)

Husch Blackwell Llp

Data Engineering Manager

Madison, WI · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data ... Working with multiple stakeholders, they ensure the platform supports current and future needs, set ...

Husch Blackwell LLP

Data Engineering Manager

Madison, WI · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data ... Working with multiple stakeholders, they ensure the platform supports current and future needs, set ...

Brown & Brown, Inc.

WI · On-site

$180 - $240/hr

Manage data and AI risk, including compliance with enterprise data, AI, security, privacy, and ... Data Platform Operations and Engineering*** Build and lead a best-practice data and AI engineering ...

Serve Robotics

$211K - $246K/yr

Data Platform Ownership: Oversee the design, reliability, scalability, and governance of the ... Proven experience managing data engineering, analytics engineering, BI, or analytics teams ...

Ontech Talent

Be Seen First

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

Own enterprise data platform strategy, architecture, and delivery for Azure Databases, Dataverse ... Manage data and development teams, vendors, 3rd party consulting, project backlog, and delivery ...

Kiongroup

Senior AI Data Engineer

Wauwatosa, WI · On-site

$121K - $151K/yr

Design and implement AI-driven capabilities and agents that enhance data platform capabilities, automate complex workflows, and improve how data is discovered, managed, governed, and consumed.

next page

Showing results 1-20

All JobsData Platform JobsData Platform Manager JobsData Platform Manager Jobs in Wisconsin

Data Platform Manager information

See Wisconsin salary details

$31.3K

$98.1K

$173.6K

How much do data platform manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data platform manager in Wisconsin is $98,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $126,700.00 per year, depending on experience, location, and employer.

Are data platform managers in demand?

Data platform managers are in high demand due to the increasing reliance on data-driven decision-making and digital transformation across industries. They typically require strong technical skills in data architecture, cloud platforms, and analytics tools, and often see competitive job growth and salary prospects.

What is the difference between Data Platform Manager vs Data Engineer?

AspectData Platform ManagerData Engineer
Primary FocusOversees data platform strategy, architecture, and team managementBuilds, develops, and maintains data pipelines and infrastructure
Required SkillsData architecture, leadership, project managementProgramming, ETL development, database management
CertificationsCloud certifications (AWS, Azure), data management certificationsSQL, cloud platform certifications, programming certifications
Work EnvironmentCollaborates with data teams, IT, and business unitsHands-on technical work in data engineering teams

The Data Platform Manager focuses on overseeing the data platform's overall strategy and managing teams, while the Data Engineer is responsible for the technical development and maintenance of data pipelines. Both roles require technical skills and certifications, but the manager role emphasizes leadership and strategic planning, whereas the engineer role emphasizes technical execution.

How much do data platform managers make?

Data platform managers typically earn a median annual salary between $100,000 and $150,000, depending on experience, location, and company size. They often require skills in cloud platforms, data architecture, and leadership, with higher salaries for those with advanced certifications or extensive experience.

What are some common challenges faced by data platform managers when aligning data strategy with evolving business needs?

Data Platform Managers often face the challenge of ensuring that the data infrastructure can adapt quickly to shifting business priorities and emerging technologies. Balancing the needs of various stakeholders—such as data analysts, engineers, and business leaders—while maintaining data quality, security, and scalability requires strong communication and project management skills. Additionally, keeping the platform up-to-date with new tools and compliance requirements, while managing resource constraints, is a recurring aspect of the role. Successfully navigating these challenges helps the business leverage data as a strategic asset.

What are the key skills and qualifications needed to thrive as a data platform manager?

To thrive as a Data Platform Manager, you need expertise in data architecture, database management, and analytics, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like AWS Certified Data Analytics are commonly required. Strong leadership, problem-solving skills, and effective communication enable you to manage teams and coordinate with stakeholders. These skills ensure robust, scalable data infrastructures that support business intelligence and strategic decision-making.

What is a data platform manager?

A Data Platform Manager is a professional responsible for overseeing the development, maintenance, and operation of an organization's data infrastructure. They manage data storage, processing, and integration solutions to ensure data is accessible, secure, and reliable for business needs. Their role often involves collaborating with data engineers, analysts, and IT teams to implement best practices and support data-driven decision-making. Additionally, they may oversee cloud data platforms, manage data governance, and ensure compliance with data privacy regulations.
What are popular job titles related to Data Platform Manager jobs in Wisconsin? For Data Platform Manager jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Platform Manager jobs in Wisconsin look for? The top searched job categories for Data Platform Manager jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Platform Manager jobs? Cities in Wisconsin with the most Data Platform Manager job openings:
Data Platform Manager jobs near you
Infographic showing various Data Platform Manager job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $98,053 per year, or $47.1 per hour.

IT Manager - Data Platform & Engineering

Michels Corporation

Brownsville, WI • On-site

Full-time

Medical, Dental, Life, Retirement

Re-posted 15 hours ago

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.
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/

Apply