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Azure Data Factory Jobs in Wisconsin (NOW HIRING)

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Azure App Services * Microsoft Azure Synapse, Data Factory & Fabric * Microsoft stack of Business Intelligence Tools (Power BI) * Data Modeling (Idera ERStudio) * Data Warehouse Design * Data ...

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Azure App Services * Microsoft Azure Synapse, Data Factory & Fabric * Microsoft stack of Business Intelligence Tools (Power BI) * Data Modeling (Idera ERStudio) * Data Warehouse Design * Data ...

Cesco

Data Engineer

Appleton, WI

$111K - $134K/yr

Experience building and maintaining ETL/ELT pipelines using tools such as SSIS, Azure Data Factory, or equivalent. * Experience with cloud data platforms (Google Cloud, Azure, or AWS); Google Cloud ...

New

Cesco

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Experience building and maintaining ETL/ELT pipelines using tools such as SSIS, Azure Data Factory, or equivalent. * Experience with cloud data platforms (Google Cloud, Azure, or AWS); Google Cloud ...

New

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

Support data pipelines, ETL/ELT workflows, and automation processes across the Microsoft ecosystem, including Azure Data Factory, Azure Functions, Azure, VS Code and others Microsoft workflows.

MLG Capital

Analytics Engineer

Brookfield, WI

Support data pipelines, ETL/ELT workflows, and automation processes across the Microsoft ecosystem, including Azure Data Factory, Azure Functions, Azure, VS Code and others Microsoft workflows.

Stitchd

WI · On-site

$70 - $90/hr

Experience with data platforms (Databricks, Google BigQuery, Snowflake, Azure Data Factory, ....). * Experience with customer data platforms (Tealium Audience Stream, Segment, AEP, Hightouch, Census,

Meyvaert

WI · On-site

$103.60 - $143.89/hr

Azure Data Factory * Azure Databricks * Azure Storage Accounts * Microsoft SQL-technologieën * Je ontwerpt, ontwikkelt, onderhoudt en optimaliseert Power BI-rapporten en dashboards op groeps- en ...

New

Haerens group

WI · On-site

$81 - $127/hr

Je werkt met moderne Microsoft Azure-technologieën zoals Azure Data Factory, Azure Databricks, Azure Storage Accounts en Microsoft SQL-technologieën. * Je ontwerpt, ontwikkelt, onderhoudt en ...

New

Urus

Senior Data Engineer

Watertown, WI · On-site

$101K - $137K/yr

The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This ...

Farm Systems

Senior Data Engineer

Watertown, WI · On-site

$101K - $137K/yr

The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This ...

AgSource

Senior Data Engineer

Watertown, WI · On-site

$101K - $137K/yr

The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This ...

AgSource

Senior Data Engineer

Watertown, WI · On-site +1

$101K - $137K/yr

The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This ...

Carex Consulting Group

WI · On-site

$140 - $190/hr

Hands‑on experience with Microsoft Fabric or comparable Microsoft data technologies such as Azure Data Factory or Synapse Analytics. * Strong Power BI capabilities spanning data modeling, semantic ...

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How much do azure data factory jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for azure data factory in Wisconsin is $58.95, according to ZipRecruiter salary data. Most workers in this role earn between $53.37 and $66.25 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

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

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving Azure Data Factory.

What are the most commonly searched types of Azure Data Factory jobs in Wisconsin?

The most popular types of Azure Data Factory jobs in Wisconsin are:

What are popular job titles related to Azure Data Factory jobs in Wisconsin?

For Azure Data Factory jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Azure Data Factory jobs in Wisconsin look for?

The top searched job categories for Azure Data Factory jobs in Wisconsin are:

Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,613 per year, or $58.9 per hour.

Data Architect

Society Insurance Company

Fond Du Lac, WI • On-site

$62.75 - $80.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Information

Job Title

Data Architect

Home Department:

Information Technology

Employment Status:

Exempt; Full-time

Schedule:

Flexible Scheduling Opportunities 

Position Location:

Remote/Hybrid (commutable distance to home office in Fond du Lac, WI)

 

This position offers flexible remote/hybrid work scheduling and we are targeting candidates who are located within the commutable greater Fond du Lac, WI area for infrequent in-person meeting events. Visit us at societyinsurance.com to learn more.

 

Overview

Protecting our policyholders’ dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society.

Society Insurance is seeking an experienced Data Architect to join our IT team. The Data Architect leads the design and implementation of the enterprise data architecture, translating business and data strategy into scalable, governed, and high-performing data platforms and solutions. The role is accountable for delivering the data architecture vision and enabling execution of the data strategy, including data models, pipelines, platforms, and integration patterns that support analytics, reporting, and operational use cases. The Data Architect partners with business and IT stakeholders to ensure data is trusted, accessible, and aligned to enterprise architecture standards, while driving modernization and continuous improvement of data capabilities. 

 

About the Role 

  • Translates enterprise data strategy into architecture, platforms, and implementation roadmaps aligned to business and analytics needs.
  • Engages with business and IT stakeholders to gather requirements and define end-to-end data architecture solutions.
  • Defines and governs enterprise data architecture standards, including data models, pipelines, integration patterns, and platform design.
  • Designs and builds scalable data platforms and pipelines (data lakes, warehouses, cloud platforms) to support analytics and reporting.
  • Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains.
  • Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems.
  • Ensures data architecture supports data quality, lineage, metadata, and governance frameworks aligned to enterprise standards.
  • Collaborates with architects and engineers to define architecture enablers, guide solution design, and support implementation.
  • Works with data engineering and Agile teams to ensure architecture is implemented effectively across delivery cycles. 
  • Leads evaluation and selection of data technologies, tools, and platforms, including proof-of-concepts (POCs).
  • Develops and maintains data architecture roadmaps, including modernization, consolidation, and performance optimization.
  • Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability.
  • Ensures alignment between data, application, and infrastructure architecture.
  • Participates in Agile/PI Planning to align teams to a shared technical direction and standards.
  • Acts as a technical expert and leader, mentoring teams and driving adoption of best practices across data architecture and engineering.


About You 

  • You are analytical and connect data across systems to support business insight and decision-making.
  • You are creative and innovative and identifies better ways to organize, integrate, and govern data.
  • You are driven by an underlying curiosity and desire to know more about things, people, or issues.
  • You take ownership of challenges and drive improvements in architecture, standards, and processes.
  • You quickly apply new knowledge, tools, and ideas to solve business and data challenges.
  • You enjoy managing the efficiency, accuracy, and integrity of the work that you produce.
  • You effectively prioritize work, manage multiple responsibilities, and meet deadlines.


What it Will Take

  • Bachelor’s degree in computer science, engineering, or related field. 
  • 8+ years of experience in data architecture, data engineering, or data platform design. 
  • Strong experience designing and implementing data pipelines, data lakes, and data warehouses. 
  • Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.) 
  • Deep understanding of data modeling, ETL/ELT patterns, and data integration. 
  • Experience implementing data architecture aligned to business and analytics needs. 
  • Strong collaboration skills across business, architecture, and engineering teams. 
  • Expertise in one or more of the following, but with versatility to grow in other areas: 
  • Microsoft stack of Data Tools & Technologies (SQL, SSIS, TSQL)
  • Azure SQL Databases
  • Azure Blob storage
  • Azure App Services
  • Microsoft Azure Synapse, Data Factory & Fabric
  • Microsoft stack of Business Intelligence Tools (Power BI)
  • Data Modeling (Idera ERStudio)
  • Data Warehouse Design
  • Data Analytics Concepts
  • Strong organizational skills. 
  • Demonstrated success in managing and/or completing projects. 
  • SAFe Agile Delivery experience highly desirable.


What Society Can Offer 

  • Comprehensive Benefits Package: Salary with bonus plan; health, dental, life, and vision insurance
  • Retirement: Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan
  • Work-Life Balance: Company-paid holidays; flexible scheduling; PTO; telecommuting options
  • Education: Career Coaching; company-paid courses; student loan and tuition reimbursement
  • Community: Charitable Match; paid volunteer time; team sponsorships
  • Wellness: Employee Assistance Program; wellness initiatives/rewards; health coaching; and more


Society Insurance prohibits discrimination and harassment of any type against applicants and employees on the basis of race, color, religion, sex, national origin, age, handicap, disability, genetics, veteran status or military service, marital status or sexual orientation, gender identity or expression, or any other characteristic or status protected by federal, state or local laws. Society Insurance also provides reasonable accommodations to qualified individuals with disabilities in accordance with the requirements of the Americans with Disabilities Act and applicable state and local laws.


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