Find your next job Search jobs now Find the right job type for you Create a job alert Explore how we help job seekers Hire talent Contract talent Permanent talent Learn how we work with you Executive search Finance and Accounting Technology Marketing and Creative Legal Administrative and Customer Support Explore consulting solutions Technology Risk, Audit and Compliance Finance and Accounting Digital, Marketing and Customer Experience Legal Operations Human Resources Discover Insights 2026 Salary Guide Demand for Skilled Talent Report Job Market Outlook Press Room Tech insights Labor market overview AI in recruiting Navigating the AI era Staffing for small businesses Cost of a bad hire Browse jobs Find your next hire Our locations

Add your latest resume to match with open positions.

The job you are looking for is no longer available. Check out similar results below.

2 results for Lead Data Architect in Madison, WI

Data/Information Architect
  • Madison, WI
  • onsite
  • Temporary to Hire
  • 57 - 66 USD / Hourly
  • We are looking for an experienced Data/Information Architect to help shape and guide modern cloud and data architecture initiatives in Madison, Wisconsin. This contract opportunity is ideal for a senior specialist who can connect enterprise architecture strategy with hands-on engineering across cloud platforms, automation, and scalable data solutions. The role focuses on designing resilient, secure, and high-performing environments that support distributed applications, platform services, and evolving business needs.<br><br>Responsibilities:<br>• Lead the design of enterprise data and cloud architecture solutions that align technical strategy with operational goals.<br>• Create scalable architectures for distributed applications using microservices, container platforms, and serverless capabilities where appropriate.<br>• Define and implement infrastructure automation standards with tools such as Terraform, Bicep, CloudFormation, or Pulumi to improve consistency and speed.<br>• Establish CI/CD practices and deployment workflows that support reliable software delivery and efficient environment management.<br>• Architect container-based workloads with strong consideration for networking, access control, monitoring, and overall platform stability.<br>• Develop integration patterns and event-driven solution designs that improve interoperability across cloud services and business systems.<br>• Partner with engineering and business stakeholders to document architecture decisions, communicate technical direction, and support long-term roadmap planning.<br>• Contribute to modern data platform design, including data lakes, warehouses, streaming pipelines, and data modeling approaches for analytics and operational use cases.<br>• Promote secure architecture principles by embedding compliance, encryption, least-privilege access, and risk mitigation into platform and data designs.<br>• Mentor team members and encourage engineering best practices across architecture governance, cloud operations, and platform development.
  • 2026-08-17T00:00:00Z
Data Engineer
  • Madison, WI
  • onsite
  • Temporary to Hire
  • 66.5 - 77 USD / Hourly
  • We are looking for a Data Engineer to join a contract opportunity with permanent potential, supporting data-intensive work in Madison, Wisconsin. This role focuses on building and optimizing modern data solutions that enable scientific and business teams to access reliable, scalable information. The ideal candidate brings deep experience with cloud-based engineering, strong Databricks expertise, and the ability to work across technical and research-focused stakeholders.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that ingest, transform, and deliver complex datasets for analytics and reporting.<br>• Develop and optimize Databricks solutions using Python, Spark, PySpark, and Delta Lake to support high-performance data processing.<br>• Create and enhance cloud-based data architecture in Azure, ensuring reliability, maintainability, and efficient data access.<br>• Partner with cross-functional teams in IT, science, and business to translate research and operational needs into effective data engineering solutions.<br>• Implement data models and warehousing structures that improve reporting accuracy, usability, and long-term scalability.<br>• Manage integration of biological, genomic, or other life sciences data sources while preserving data quality and consistency.<br>• Write and refine database objects such as queries, stored procedures, and functions to support downstream applications and analysis.<br>• Contribute to Agile delivery practices by participating in planning, prioritization, and iterative solution development.
  • 2026-08-19T00:00:00Z