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Databricks Architect Jobs in Wisconsin (NOW HIRING)

Data Architect

Fond Du Lac, WI

$62.75 - $80.75/hr

Job Information Job Title Data Architect Home Department: Information Technology Employment Status ... Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Job Information Job Title Data Architect Home Department: Information Technology Employment Status ... Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.

Data Architect

Mequon, WI · On-site

$120 - $180/hr

Experience with Azure Data Services, Snowflake, Databricks, PySpark, SQL, Python, Tableau, Power BI ... Define architectural standards for APIs, ETL/ELT, streaming, CDC, event-driven solutions, and ...

New

WI · On-site

$144.20 - $288.40/hr

... Microsoft, Databricks) and stay connected to the open‑source AI ecosystem. Required ... engineering and architecture, with a demonstrated progression from production developer to ...

Data Architect

Fond Du Lac, WI · On-site

$100 - $130/hr

Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc ... Experience implementing data architecture aligned to business and analytics needs. * Strong ...

WI · On-site

$219.10 - $301.30/hr

You will build proof‑of‑concepts and demonstrate Databricks' products, and you need to be technical and understand the relevance and application of ML & AI across a range of use cases important ...

New

Salesforce Solution Architect

Madison, WI

$63.50 - $83.75/hr

Experience with data engineering and analytics platforms such as Databricks or Snowflake, focusing ... Salesforce System Architect, Salesforce Public Sector Solutions Accredited Professional, Salesforce ...

WI · On-site

... Microsoft, Databricks) and stay connected to the open‑source AI ecosystem. Required ... engineering and architecture, with a demonstrated progression from production developer to ...

WI · On-site

$95.10 - $135.80/hr

Summary As a(n) Advisor Solutions Architect at Gainwell, you can contribute your skills as we ... AWS and/or Databricks preferred * Strong SQL skills to create/maintain DB objects, query/load ...

New

WI · On-site

$90 - $120/hr

Ben jij een ervaren Solution Architect met een sterk track record in data & AI, en beweeg je je ... Je bouwt end-to-end architecturen rond dataplatformen (Microsoft Fabric, Databricks, Snowflake ...

New

WI · On-site

$110 - $170/hr

Responsibilities Data Architecture & Pipeline Design: Building robust, scalable data pipelines and ... with Databricks, Snowflake and Azure. 3‑6 years of relevant professional experience (or ...

New

WI · On-site

$120 - $160/hr

Nice to have: experience with data tools like Databricks or similar, familiarity with AI ... Support data architecture activities in coordination with data governance objectives. * Participate ...

New

WI · On-site

$100 - $130/hr

Als AI Architect ben je verantwoordelijk voor het ontwerpen en realiseren van geavanceerde AI ... Certificeringen op het gebied van Microsoft Azure en/ of Databricks zijn een pluspunt. * Je hebt ...

New

Showing results 21-40

Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the key skills and qualifications needed to thrive as a Databricks Architect?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.
What are the most commonly searched types of Databricks Architect jobs in Wisconsin? The most popular types of Databricks Architect jobs in Wisconsin are:
What are popular job titles related to Databricks Architect jobs in Wisconsin? For Databricks Architect jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Databricks Architect jobs in Wisconsin look for? The top searched job categories for Databricks Architect jobs in Wisconsin are:
What cities in Wisconsin are hiring for Databricks Architect jobs? Cities in Wisconsin with the most Databricks Architect job openings:
Infographic showing various Databricks Architect job openings in Wisconsin as of August 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

$62.75 - $80.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


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 Yo

  • 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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