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Data Modernization Jobs in Wisconsin (NOW HIRING)

CYNET SYSTEMS

Data Architect

Racine, WI · On-site

$67/hr

Develop data modernization roadmaps and migration strategies from legacy platforms to modern cloud-based architectures. * Establish architectural principles for data quality, security, governance ...

Charter Automotive

Data Architect

Mequon, WI · On-site

$120 - $180/hr

## Data ArchitectApplylocations: Charter Manufacturing Company, Inc - Mequon, WItime type: Full ... Drive modernization initiatives across cloud, analytics, and AI-enabled platforms.* Partner ...

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Society Insurance

Data Architect

Fond Du Lac, WI · On-site

$100 - $130/hr

Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability. * Ensures alignment between data, application, and infrastructure architecture.

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability. * Ensures alignment between data, application, and infrastructure architecture.

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability. * Ensures alignment between data, application, and infrastructure architecture.

Society-Insurance

Data Architect

Fond Du Lac, WI · On-site

$120 - $150/hr

Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability. * Ensures alignment between data, application, and infrastructure architecture.

Tiger Analytics

WI · On-site

$61.50 - $82.50/hr

Tiger Analytics, a global AI and analytics consulting leader, seeks a Senior Data & Analytics Solution Architect to lead enterprise-scale modernization and digital transformation initiatives. The ...

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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 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?

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:
What job categories do people searching Data Modernization jobs in Wisconsin look for? The top searched job categories for Data Modernization jobs in Wisconsin are:
Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Lead Data Architect - Cloud & Analytics

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Re-posted 14 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 DoArchitect scalable cloud data platforms for analytics and operational useDesign enterprise data models and data pipelinesLead modernization of legacy data environmentsEvaluate and integrate data vendors and platformsPartner with business stakeholders to translate requirements into technical architectureEstablish architecture standards, governance, and best practicesMentor engineers and elevate technical capabilities across teamsDrive adoption of modern data tools and frameworksRequired Qualifications8+ years of experience in data engineering, architecture, or platform engineeringStrong hands-on experience with Snowflake or similar cloud data platformExperience designing and implementing enterprise data architecturesProven track record leading modernization or transformation initiativesStrong communication skills and ability to explain technical concepts to non-technical stakeholdersExperience working with complex or high-volume data environmentsPreferred ExperienceExposure to financial, investment, or analytical data ecosystemsExperience integrating market or enterprise data vendors (FactSet, Bloomberg, Refinitiv, etc.)Familiarity with front office or operational analytics workflowsExperience with dbt, orchestration tools, or modern data stack frameworksVendor/platform evaluation or selection experienceBackground mentoring engineers or leading technical initiatives