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Data Modernization Jobs in Wisconsin (NOW HIRING)

Dane County

Public Health Epidemiologist

Madison, WI

$44.56 - $59.26/hr

They utilize software across the data life cycle; rapidly adapt to an evolving data modernization and technology landscape; and communicate health data in an easy-to-understand way that centers ...

Dane County, WI

Public Health Epidemiologist

Madison, WI · On-site

$44.56 - $59.26/hr

They utilize software across the data life cycle; rapidly adapt to an evolving data modernization and technology landscape; and communicate health data in an easy-to-understand way that centers ...

Newance

Data Analyst

Brookfield, WI · On-site

This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm. Role Overview This position will serve multiple business lines ...

MLG Capital

Data Analyst

Brookfield, WI · On-site

This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm. Role Overview This position will serve multiple business lines ...

MLG Capital

Data Analyst

Brookfield, WI

This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm. Role Overview This position will serve multiple business lines ...

Sanford Health

Senior Data Modeler

Marshfield, WI · Remote

$40/hr

Must anticipate and identify opportunities for optimization, modernization, and innovation in data modeling and propose enhancements to align with industry advancements. Partners with data engineers ...

Deloitte

SAP BODS/Data Conversion Manager

Milwaukee, WI · On-site

Lead functional delivery for large-scale SAP S/4HANA modernization programs, owning workstream ... Partner with integration and data teams to plan interfaces, validate data migration readiness, and ...

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Data Modernization information

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What is data modernization?

Data modernization is the process of updating and transforming an organization’s data infrastructure, tools, and practices to leverage modern technologies such as cloud computing, big data analytics, and artificial intelligence. This typically involves migrating data from legacy systems to more agile, scalable, and efficient platforms, improving data quality, accessibility, and security. The goal of data modernization is to enable better decision-making, enhance operational efficiency, and support digital transformation initiatives.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.
What are popular job titles related to Data Modernization jobs in Wisconsin? For Data Modernization jobs in Wisconsin, the most frequently searched job titles are:
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Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Wisconsin as of May 2026, with employment types broken down into 16% Internship, 52% Full Time, and 32% Contract. Highlights an 100% In-person job distribution.
Lead Data Architect - Cloud & Analytics

Lead Data Architect - Cloud & Analytics

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Posted 12 days ago

Job description

We're looking for a Lead Data Architect to design and evolve a modern cloud data platform supporting investment and analytics workflows. This role combines hands-on architecture with strategic leadership and is ideal for someone who has successfully led enterprise data modernization initiatives.

You'll partner with business and technical teams to shape data strategy, guide platform decisions, and build scalable solutions that support critical decision-making. This is a highly visible role requiring both technical depth and the ability to influence stakeholders.

What You'll Do

  • Architect scalable cloud data platforms for analytics and operational use

  • Design enterprise data models and data pipelines

  • Lead modernization of legacy data environments

  • Evaluate and integrate data vendors and platforms

  • Partner with business stakeholders to translate requirements into technical architecture

  • Establish architecture standards, governance, and best practices

  • Mentor engineers and elevate technical capabilities across teams

  • Drive adoption of modern data tools and frameworks

Required Qualifications

  • 8+ years of experience in data engineering, architecture, or platform engineering

  • Strong hands-on experience with Snowflake or similar cloud data platform

  • Experience designing and implementing enterprise data architectures

  • Proven track record leading modernization or transformation initiatives

  • Strong communication skills and ability to explain technical concepts to non-technical stakeholders

  • Experience working with complex or high-volume data environments

Preferred Experience

  • Exposure to financial, investment, or analytical data ecosystems

  • Experience integrating market or enterprise data vendors (FactSet, Bloomberg, Refinitiv, etc.)

  • Familiarity with front office or operational analytics workflows

  • Experience with dbt, orchestration tools, or modern data stack frameworks

  • Vendor/platform evaluation or selection experience

  • Background mentoring engineers or leading technical initiatives