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Databricks Architect Jobs in Wisconsin (NOW HIRING)

CYNET SYSTEMS

Data Architect

Racine, WI · On-site

$67/hr

Requirement/Must Have: * 10+ years of experience in Data Architecture. * 5+ years of experience in Databricks Architecture. * 4+ years of experience in BI platforms. Responsibilities: * Define and ...

System One

Databricks Engineer

Madison, WI · On-site

The engineer partners with product, architecture, governance, and mission teams to deliver secure ... Databricks Certified Apache Spark Developer Associate ? Databricks Certified Data Engineer ...

Tiger Analytics

WI · On-site

$180 - $240/hr

The ideal candidate will have deep expertise in AWS and Databricks, extensive experience designing ... Lead enterprise Data & Analytics architecture engagements, designing scalable, secure, and future ...

Concurrency

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

Architect modern data platforms on Azure, including lakehouse, streaming, and analytics architectures using services such as ADLS, Databricks, Fabric, Synapse, and related tooling * Define and ...

Concurrency

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

Architect modern data platforms on Azure, including lakehouse, streaming, and analytics architectures using services such as ADLS, Databricks, Fabric, Synapse, and related tooling * Define and ...

Hispanic Alliance for Career Enhancement

WI · On-site

$144.20 - $288.40/hr

Position Summary The Distributed Systems Architect is responsible for defining, evolving and owning ... Hands‑on experience with Apache Spark, Databricks and modern data‑processing frameworks.

Cloud BC Labs

IICS Architect

Milwaukee, WI · On-site

IICS Architect Location : Milwaukee, WI (Onsite) Term : W2/Full-Time Role Job Summary We are ... Databricks * Delta Lake * Terraform * Git/GitHub * Jenkins * CI/CD pipelines * Agile/Scrum ...

Charter Manufacturing Company, Inc.

Data Architect

Mequon, WI · On-site

$56.50 - $72.75/hr

Data Architect Position Purpose / Mission Help shape the future of data across a digitally evolving ... Experience with Azure Data Services, Snowflake, Databricks, PySpark, SQL, Python, Tableau, Power BI ...

Society Insurance Company

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.

Hispanic Alliance for Career Enhancement

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 ...

Society Insurance Company

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.

Booz Allen Hamilton

Salesforce Solution Architect

Madison, WI · On-site

$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 ...

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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:
Databricks Architect jobs near you
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.

Data Architect

CYNET SYSTEMS

Racine, WI • On-site

$67/hr

Contractor

Re-posted 13 days ago

Job description

Job Overview:

Requirement/Must Have:

  • 10+ years of experience in Data Architecture.
  • 5+ years of experience in Databricks Architecture.
  • 4+ years of experience in BI platforms.

Responsibilities:

  • Define and govern enterprise data architecture standards, frameworks, and best practices.
  • Design scalable and high-performance data platforms supporting reporting, analytics, and advanced data use cases.
  • Architect end-to-end data solutions spanning data ingestion, transformation, storage, governance, and consumption layers.
  • Develop data modernization roadmaps and migration strategies from legacy platforms to modern cloud-based architectures.
  • Establish architectural principles for data quality, security, governance, metadata management, and master data management.
  • Lead the architecture and design of enterprise reporting and analytics solutions.
  • Define semantic models, data marts, reporting layers, and KPI frameworks.
  • Provide architectural guidance for self-service analytics and enterprise reporting initiatives.
  • Ensure optimal performance, scalability, and usability of BI platforms.
  • Architect robust ETL/ELT frameworks and data integration solutions.
  • Design scalable data pipelines supporting batch and near real-time processing.
  • Define data integration patterns across ERP, CRM, cloud, and third-party applications.
  • Guide engineering teams on best practices for data modeling, pipeline design, orchestration, and optimization.
  • Collaborate with business leaders, product owners, and functional teams to understand data and reporting requirements.
  • Conduct requirement Client workshops and translate business needs into architecture and solution designs.
  • Present architecture recommendations and solution options to technical and non-technical stakeholders.
  • Provide thought leadership on emerging technologies, analytics strategies, and data-driven decision making.
  • Lead architecture reviews, design governance, and technical decision-making.
  • Mentor data architects, engineers, and BI developers.
  • Ensure adherence to enterprise architecture standards, security policies, and compliance requirements.
  • Support pre-sales, solution estimation, and transformation initiatives when required.

Skills:

  • Expert-level architecture experience in Power BI and Tableau.
  • Strong understanding of Enterprise Reporting Architecture, Semantic Layer Design, Dashboard and Visualization Best Practices, and Performance Optimization.
  • Strong architecture and implementation experience with Informatica PowerCenter / IICS.
  • Expertise in ETL/ELT Design Patterns, Data Integration Architecture, Data Transformation Frameworks, Data Quality and Reconciliation.
  • Experience designing cloud-based analytics solutions.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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