Data Architect Jobs in Minnesota
Data Architect jobs in Minnesota are concentrated in the Twin Cities metro, with additional activity in Rochester and Duluth, drawing on the state's deep roots in financial services, healthcare technology, and retail analytics. Employers like United Health Group, Target, and U.S. Bank maintain large, sustained data architecture practices and recruit at levels from mid-career to principal and distinguished architect. Cloud data platform design, enterprise data governance, and healthcare data integration are the most consistently sought specialties across Minnesota listings. See the openings below and apply to the ones that match your experience.
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Showing 5 of 9+ Data Architect jobs
We have a new requirement with Virtusa for a Data Architect – FDE. Please review the details below and start sourcing qualified candidates.
Job Title: Data Architect – FDE
Client: Virtusa
Location: Hartford, CT / Minneapolis, MN – Onsite
Experience: 12+ Years
Employment Type: Contract
Cloud Ecosystem: Microsoft Azure
Visa: H1B – C2C
Rate: $70/hr
About the Role
We are looking for a highly hands-on Data Architect with Forward Deployed Engineering (FDE) capabilities to solve complex enterprise data problems within a Microsoft Azure environment.
This is not a purely conceptual architecture position. The candidate will work directly with business, product, data, and engineering stakeholders to understand complex and sometimes ambiguous problems, investigate existing systems and data, design appropriate solutions, and remain closely involved through implementation and production deployment.
The ideal candidate should combine enterprise-level architecture expertise with strong hands-on engineering capabilities.
Key Responsibilities
- Work directly with business and technical stakeholders to understand complex data and technology problems.
- Translate ambiguous business requirements into actionable architecture and engineering solutions.
- Understand existing data ecosystems, applications, integrations, data flows, and constraints.
- Define target-state architectures for enterprise data solutions.
- Architect scalable solutions using Azure Databricks, ADLS, ADF, Microsoft Fabric/Synapse, and related Azure technologies.
- Define Lakehouse, Delta Lake, batch, streaming, and analytical architecture patterns.
- Remain hands-on with Python, PySpark, SQL, Databricks, and data engineering.
- Develop or guide rapid prototypes to validate architecture decisions.
- Define ingestion, transformation, storage, consumption, API, and integration patterns.
- Architect solutions spanning data platforms, APIs, applications, analytics, and AI/ML consumers.
- Define logical and physical data models.
- Establish standards for data quality, metadata, lineage, security, governance, and observability.
- Design for scalability, resiliency, performance, security, and cost optimization.
- Conduct architecture, design, and code reviews.
- Troubleshoot complex cross-platform technical issues.
- Provide technical direction and hands-on guidance to Data Engineers and FDE teams.
- Partner with AI/ML, DevOps, security, product, and application engineering teams.
- Own technical outcomes from problem discovery through production implementation.
- 10+ years of progressive Data Engineering/Data Architecture experience.
- Strong Microsoft Azure architecture experience.
- Hands-on experience with Azure Databricks.
- Strong Python and PySpark skills.
- Advanced SQL.
- ADLS Gen2.
- Azure Data Factory (ADF).
- Lakehouse and Delta Lake architecture.
- Data modeling.
- ETL/ELT and distributed data processing.
- API and enterprise integration architecture.
- CI/CD and modern engineering practices.
- Data security, governance, metadata, lineage, and data quality.
- Experience architecting enterprise-scale data platforms.
- Strong stakeholder-facing communication and technical leadership.
- Ability to move between architecture discussions and hands-on technical problem solving.
- Microsoft Fabric.
- Azure Synapse.
- Unity Catalog.
- Event Hubs/Kafka.
- AKS/Kubernetes.
- Terraform/IaC.
- Azure OpenAI / AI Foundry exposure.
- Healthcare data/platform experience.
- Consulting, customer-facing engineering, or Forward Deployed Engineering experience.
- H1B candidates on C2C only.
- Rate: $70/hr C2C.
- Candidate must be comfortable working onsite in Hartford, CT or Minneapolis, MN.
- Please prioritize candidates who are hands-on architects and can contribute directly to engineering and implementation.
- Purely conceptual/enterprise architecture profiles without strong hands-on Azure data engineering experience will not be a good fit.
- Strong experience with Azure Databricks, Python, PySpark, SQL, ADLS Gen2, ADF, Lakehouse, and Delta Lake is required.
- Please ensure candidates closely match the technical requirements before submission.
KEEZdFN27c
We have a new requirement with Virtusa for a Data Architect – FDE. Please review the details below and start sourcing qualified candidates.
Job Title: Data Architect – FDE
Client: Virtusa
Location: Hartford, CT / Minneapolis, MN – Onsite
Experience: 12+ Years
Employment Type: Contract
Cloud Ecosystem: Microsoft Azure
Visa: H1B – C2C
Rate: $70/hr
About the Role
We are looking for a highly hands-on Data Architect with Forward Deployed Engineering (FDE) capabilities to solve complex enterprise data problems within a Microsoft Azure environment.
This is not a purely conceptual architecture position. The candidate will work directly with business, product, data, and engineering stakeholders to understand complex and sometimes ambiguous problems, investigate existing systems and data, design appropriate solutions, and remain closely involved through implementation and production deployment.
The ideal candidate should combine enterprise-level architecture expertise with strong hands-on engineering capabilities.
Key Responsibilities
- Work directly with business and technical stakeholders to understand complex data and technology problems.
- Translate ambiguous business requirements into actionable architecture and engineering solutions.
- Understand existing data ecosystems, applications, integrations, data flows, and constraints.
- Define target-state architectures for enterprise data solutions.
- Architect scalable solutions using Azure Databricks, ADLS, ADF, Microsoft Fabric/Synapse, and related Azure technologies.
- Define Lakehouse, Delta Lake, batch, streaming, and analytical architecture patterns.
- Remain hands-on with Python, PySpark, SQL, Databricks, and data engineering.
- Develop or guide rapid prototypes to validate architecture decisions.
- Define ingestion, transformation, storage, consumption, API, and integration patterns.
- Architect solutions spanning data platforms, APIs, applications, analytics, and AI/ML consumers.
- Define logical and physical data models.
- Establish standards for data quality, metadata, lineage, security, governance, and observability.
- Design for scalability, resiliency, performance, security, and cost optimization.
- Conduct architecture, design, and code reviews.
- Troubleshoot complex cross-platform technical issues.
- Provide technical direction and hands-on guidance to Data Engineers and FDE teams.
- Partner with AI/ML, DevOps, security, product, and application engineering teams.
- Own technical outcomes from problem discovery through production implementation.
- 10+ years of progressive Data Engineering/Data Architecture experience.
- Strong Microsoft Azure architecture experience.
- Hands-on experience with Azure Databricks.
- Strong Python and PySpark skills.
- Advanced SQL.
- ADLS Gen2.
- Azure Data Factory (ADF).
- Lakehouse and Delta Lake architecture.
- Data modeling.
- ETL/ELT and distributed data processing.
- API and enterprise integration architecture.
- CI/CD and modern engineering practices.
- Data security, governance, metadata, lineage, and data quality.
- Experience architecting enterprise-scale data platforms.
- Strong stakeholder-facing communication and technical leadership.
- Ability to move between architecture discussions and hands-on technical problem solving.
- Microsoft Fabric.
- Azure Synapse.
- Unity Catalog.
- Event Hubs/Kafka.
- AKS/Kubernetes.
- Terraform/IaC.
- Azure OpenAI / AI Foundry exposure.
- Healthcare data/platform experience.
- Consulting, customer-facing engineering, or Forward Deployed Engineering experience.
- H1B candidates on C2C only.
- Rate: $70/hr C2C.
- Candidate must be comfortable working onsite in Hartford, CT or Minneapolis, MN.
- Please prioritize candidates who are hands-on architects and can contribute directly to engineering and implementation.
- Purely conceptual/enterprise architecture profiles without strong hands-on Azure data engineering experience will not be a good fit.
- Strong experience with Azure Databricks, Python, PySpark, SQL, ADLS Gen2, ADF, Lakehouse, and Delta Lake is required.
- Please ensure candidates closely match the technical requirements before submission.
KEEZdFN27c
See All 9 Data Architect Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Data Architect JobsData Architect Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Data Architect Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
What Minnesota Employers Look For
The qualifications that appear most often in data architect jobs across Minnesota.
- Bachelor's or master's degree in computer science, information systems, or a related field
- Proven experience designing and implementing enterprise-scale data models and pipelines
- Proficiency with cloud data platforms such as Azure, AWS, or Google Cloud
- Deep knowledge of data governance frameworks, metadata management, and data quality standards
- Experience with SQL, NoSQL, and distributed storage systems including Spark or Snowflake
- Strong communication skills for translating technical architecture decisions to business stakeholders
Data Architect Jobs in Minnesota: Frequently Asked Questions
How do you become a data architect in Minnesota?
The path to a data architect role in Minnesota typically starts with a bachelor's degree in computer science, information systems, or a related field, followed by several years in data engineering or analytics. Minnesota employers heavily favor candidates who hold vendor-neutral credentials such as CDMP or cloud-platform certifications from Microsoft, AWS, or Google. No state-issued license is required, but building a portfolio demonstrating enterprise data modeling and governance work is the most effective differentiator for Minnesota hiring managers.
Which companies hire data architects in Minnesota?
Minnesota data architect roles are posted by Optum, Allianz, and Cilable and others right now, based on current listings on Migrate Mate as of September 2026. Minnesota's concentration of Fortune 500 headquarters in financial services, retail, and healthcare makes it one of the more active mid-size markets for senior data architecture talent in the Midwest.
Which Minnesota cities have the most data architect jobs?
Minneapolis, Minnetonka, and Golden Valley have the most data architect openings in Minnesota. The Twin Cities metro drives the overwhelming share of demand, anchored by major corporate headquarters in Bloomington, Eden Prairie, and downtown Minneapolis, while Rochester's presence is shaped largely by Mayo Clinic's extensive health data and analytics infrastructure.
Are there remote data architect jobs in Minnesota?
Yes, and more than most fields. Data architecture is an inherently desk-based, systems-design discipline that translates well to remote and hybrid arrangements. About 100% of data architect openings tied to Minnesota are remote or hybrid as of September 2026, reflecting how broadly distributed modern data teams have become. Strategic and design-heavy responsibilities such as data modeling, governance policy, and platform evaluation are the functions most frequently performed fully remote.
How can I get hired as a data architect in Minnesota with little or no experience?
The most realistic entry path is moving laterally from a data analyst or data engineer role, as Minnesota employers including UnitedHealth Group and Target regularly convert strong performers in those positions into architecture tracks. Pursuing a CDMP associate credential or a cloud-platform certification while still in an analyst role signals architectural intent to hiring managers. Community college and university continuing-education programs at institutions like the University of Minnesota also offer data management coursework that strengthens a junior candidate's profile for internal architecture rotations.
Where can I find and apply to data architect jobs in Minnesota?
You can find and apply to data architect jobs in Minnesota on Migrate Mate, which lists current Minnesota openings updated regularly. Search the listings to find roles that match your experience level, specialization, and preferred location or remote arrangement, then apply directly to the ones that fit.
See All 9 Data Architect Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Data Architect Jobs