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Data Platform Manager Jobs in Wisconsin (NOW HIRING)

Johnson Controls

Senior Data Platform Engineer

Milwaukee, WI · On-site

$100K - $145K/yr

Johnson Controls, a global leader in thermal management, mission-critical building systems, energy ... In addition, this role will own and evolve the Posit (RStudio) platform , ensuring data scientists ...

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 ...

Robert Half

Data Architect (GCP)

Appleton, WI · On-site

$60.75 - $78/hr

Work with Data Analysts and Data Scientists to ensure the data platform effectively supports analytics, reporting, machine learning, and AI initiatives. * Collaborate with Project Managers, Business ...

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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 31, 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.

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 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 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 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.

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.

Data Platform Engineer

Purplejack Technologies LLC

Brownsville, WI • On-site

$125K - $150K/yr

Other

Posted 6 days ago

Job description

Hello,
Hope you are doing well.
I came across your resume on a job portal, and your background appears to be a strong match for an exciting opportunity we are currently hiring for.
Position:  IT Manager - Data Platform & Engineering
Location:   Brownsville, WI
Fulltime.
Must-Have Skills

  • Bachelor''s degree in Computer Science, Information Systems, Engineering, or a related quantitative or 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 with accountability for hiring, coaching, and delivery
  • Proven experience building and operating large-scale, complex cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, or BigQuery
  • Experience delivering governed, reusable data products serving·      
  • Experience delivering governed, reusable data products serving organizations across multiple 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

 
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 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 teams to ensure platform decisions are durable, interoperable, and ready to support future analytics and AI use cases.  Establish foundational engineering disciplines that enable a lean team to reliably operate and support what it builds, using AI and automation to extend capacity.


Description
The IT Manager of Data Platform & Engineering leads the development and evolution of an enterprise data platform. As a founding leader on the Enterprise Intelligence team, this individual will 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. 
--
Regards,
Pooja Shikha
+1-

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