Technology Jobs in Minnesota with H-1B1 Sponsorship
Minnesota's technology sector spans medical devices, financial technology, and enterprise software, with major employers like UnitedHealth Group, Optum, and Cargill actively hiring technical professionals. The Twin Cities metro anchors most H-1B1 sponsorship activity, though Rochester and Bloomington also offer opportunities for Chilean and Singaporean nationals pursuing specialty occupation roles.
See All Technology JobsOverview
Showing 5 of 51+ Technology H-1B1 Sponsorship Jobs in Minnesota jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 51+ Technology H-1B1 Sponsorship Jobs in Minnesota jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Technology H-1B1 Sponsorship Jobs in Minnesota roles.
Get Access To All JobsJob Description:
The VP, Enterprise Data Architect is a senior enterprise data leader responsible for defining, governing, and advancing the architectural vision for data across a federated group of companies. This role spans multiple business units and platforms and requires a leader who can unify disparate data environments into an integrated, scalable, and future ready enterprise data ecosystem.
The VP SDA will shape the long-term data architecture strategy, establish modern data capabilities, and ensure that data systems are secure, high-quality, governed, and aligned with business priorities. This leader will oversee all data architecture disciplines, including enterprise medallion architecture, data Lakehouse, MDM, data systems and integration architecture, and AI-driven data capabilities, through a blend of direct oversight and dotted line architects across the group.
Success in this role requires a strong strategic mindset, deep technical expertise, and the ability to translate complex architectural concepts into clear, business aligned roadmaps. The VP will provide thought leadership, guide cross company alignment, and drive the evolution toward a cohesive data operating model that supports data products, analytics, governance, and innovation and enterprise adoption of AI, Generative AI, and Agentic AI frameworks.
This is a remote position based in the US.
Key Responsibilities
Enterprise Architecture Leadership
- Establish and maintain the enterprise data architecture vision, including conceptual, logical and physical models, data flows, storage patterns, and integration frameworks.
- Create and maintain a comprehensive inventory of current state data capabilities across all business units.
- Define the target state architecture and align stakeholders on the required data product capabilities and technical foundations.
- Define and integrate already architectural patterns that support enterprise AI, Generative AI, and Agentic AI use cases, ensuring scalable and governed deployment across the ecosystem.
Strategic Alignment and Collaboration
- Partner closely with leaders across Data Management, Data Governance, Data Product, Data Engineering, Analytics, and Product teams to translate business needs into data driven solutions.
- Serve as the primary liaison between Data Management and business units to ensure data strategies are fully aligned with organizational objectives.
- Collaborate with AI/ML teams to shape enterprise AI strategies, ensuring data architecture enables model development, model operations (MLOps), vector storage, retrieval augmented generation (RAG), and agent-oriented workflows.
Data Ecosystem Optimization
- Identify opportunities to simplify, consolidate, or modernize legacy technologies, data stores, and applications.
- Oversee the design of scalable architectures that support enterprise-wide data products and shared capabilities across multiple business units and group-level functions.
- Monitor data and related AI platforms and systems to ensure availability, performance, reliability, and cost efficiency.
Governance, Quality, and Security
- Lead the development and enforcement of data architecture standards, quality frameworks, and governance policies.
- Collaborate with Legal, Compliance, and Information Security to ensure alignment with security, privacy, and regulatory requirements.
- Implement robust data security and access control models to protect sensitive data across the ecosystem.
- Incorporate AI governance standards, including model transparency, lineage, auditability, responsible AI practices, and controls for Generative AI and Agentic AI solutions.
Innovation & Continuous Improvement
- Stay current with emerging technologies, architecture patterns, and industry best practices.
- Identify opportunities for innovation within cloud, big data, MDM, data lifecycle management, and product centric architectural approaches.
- Promote data architecture best practices across teams and business units.
- Provide thought leadership on emerging AI patterns, including vector databases, multimodal architectures, orchestration frameworks, agent based systems, and next generation data AI integration models.
Qualifications
Education
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- Master’s degree or relevant professional certifications (e.g., CDMP, CIMP) strongly preferred.
Experience
- 10+ years of experience in data management, data governance, or related disciplines within SaaS or cloud based environments.
- Extensive background in enterprise data architecture, cloud solutions, data modeling, data warehousing, data lakes, data marts, and BI ecosystems.
- Proven success designing and implementing architectures that deliver data as a product for internal and external stakeholders.
- Strong understanding of structured and unstructured data management, data integration, data lifecycle management, and modern data platforms.
- Experience working with Scaled Agile or similar methodologies.
Skills
- Proficiency in AI architectural patterns, data preparation for AI/ML, and designing systems that support LLMs and Agentic AI workflows.
- Expertise in cloud data platforms and tools (e.g., AWS, Snowflake, Redshift, Azure, Google Cloud, MDM, ETL/ELT tools).
- Exceptional communication skills with the ability to influence technical and nontechnical stakeholders.
- Deep knowledge of data governance frameworks, data management principles, and industry standards (ISO 27001, SOC 2).
- Strong understanding of data privacy and compliance requirements (GDPR, CCPA, emerging AI related).
- Advanced analytical, problem-solving, organizational, and system design skills.
Preferred
- Familiarity with project management tools and methodologies.
- Experience with analytics, BI platforms, or data visualization tools.
- Knowledge of Virtual Data Room (VDR) security protocols and data protection standards.
- Hands-on experience and demonstrated leadership in developing AI ready platforms and guiding enterprise adoption of AI/Gen AI technologies.
Work Location & Flexibility:
This position can be located remotely however if the candidate is based in our Minneapolis or New York City locations the office follows a hybrid work model. Employees in these locations are expected to work on-site a minimum of two days per week. Please note that specific business units or role requirements may necessitate additional in-office days based on team collaboration needs or operational priorities.
$167,000.00 - $300,400.00
Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.
Job Description:
The VP, Enterprise Data Architect is a senior enterprise data leader responsible for defining, governing, and advancing the architectural vision for data across a federated group of companies. This role spans multiple business units and platforms and requires a leader who can unify disparate data environments into an integrated, scalable, and future ready enterprise data ecosystem.
The VP SDA will shape the long-term data architecture strategy, establish modern data capabilities, and ensure that data systems are secure, high-quality, governed, and aligned with business priorities. This leader will oversee all data architecture disciplines, including enterprise medallion architecture, data Lakehouse, MDM, data systems and integration architecture, and AI-driven data capabilities, through a blend of direct oversight and dotted line architects across the group.
Success in this role requires a strong strategic mindset, deep technical expertise, and the ability to translate complex architectural concepts into clear, business aligned roadmaps. The VP will provide thought leadership, guide cross company alignment, and drive the evolution toward a cohesive data operating model that supports data products, analytics, governance, and innovation and enterprise adoption of AI, Generative AI, and Agentic AI frameworks.
This is a remote position based in the US.
Key Responsibilities
Enterprise Architecture Leadership
- Establish and maintain the enterprise data architecture vision, including conceptual, logical and physical models, data flows, storage patterns, and integration frameworks.
- Create and maintain a comprehensive inventory of current state data capabilities across all business units.
- Define the target state architecture and align stakeholders on the required data product capabilities and technical foundations.
- Define and integrate already architectural patterns that support enterprise AI, Generative AI, and Agentic AI use cases, ensuring scalable and governed deployment across the ecosystem.
Strategic Alignment and Collaboration
- Partner closely with leaders across Data Management, Data Governance, Data Product, Data Engineering, Analytics, and Product teams to translate business needs into data driven solutions.
- Serve as the primary liaison between Data Management and business units to ensure data strategies are fully aligned with organizational objectives.
- Collaborate with AI/ML teams to shape enterprise AI strategies, ensuring data architecture enables model development, model operations (MLOps), vector storage, retrieval augmented generation (RAG), and agent-oriented workflows.
Data Ecosystem Optimization
- Identify opportunities to simplify, consolidate, or modernize legacy technologies, data stores, and applications.
- Oversee the design of scalable architectures that support enterprise-wide data products and shared capabilities across multiple business units and group-level functions.
- Monitor data and related AI platforms and systems to ensure availability, performance, reliability, and cost efficiency.
Governance, Quality, and Security
- Lead the development and enforcement of data architecture standards, quality frameworks, and governance policies.
- Collaborate with Legal, Compliance, and Information Security to ensure alignment with security, privacy, and regulatory requirements.
- Implement robust data security and access control models to protect sensitive data across the ecosystem.
- Incorporate AI governance standards, including model transparency, lineage, auditability, responsible AI practices, and controls for Generative AI and Agentic AI solutions.
Innovation & Continuous Improvement
- Stay current with emerging technologies, architecture patterns, and industry best practices.
- Identify opportunities for innovation within cloud, big data, MDM, data lifecycle management, and product centric architectural approaches.
- Promote data architecture best practices across teams and business units.
- Provide thought leadership on emerging AI patterns, including vector databases, multimodal architectures, orchestration frameworks, agent based systems, and next generation data AI integration models.
Qualifications
Education
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- Master’s degree or relevant professional certifications (e.g., CDMP, CIMP) strongly preferred.
Experience
- 10+ years of experience in data management, data governance, or related disciplines within SaaS or cloud based environments.
- Extensive background in enterprise data architecture, cloud solutions, data modeling, data warehousing, data lakes, data marts, and BI ecosystems.
- Proven success designing and implementing architectures that deliver data as a product for internal and external stakeholders.
- Strong understanding of structured and unstructured data management, data integration, data lifecycle management, and modern data platforms.
- Experience working with Scaled Agile or similar methodologies.
Skills
- Proficiency in AI architectural patterns, data preparation for AI/ML, and designing systems that support LLMs and Agentic AI workflows.
- Expertise in cloud data platforms and tools (e.g., AWS, Snowflake, Redshift, Azure, Google Cloud, MDM, ETL/ELT tools).
- Exceptional communication skills with the ability to influence technical and nontechnical stakeholders.
- Deep knowledge of data governance frameworks, data management principles, and industry standards (ISO 27001, SOC 2).
- Strong understanding of data privacy and compliance requirements (GDPR, CCPA, emerging AI related).
- Advanced analytical, problem-solving, organizational, and system design skills.
Preferred
- Familiarity with project management tools and methodologies.
- Experience with analytics, BI platforms, or data visualization tools.
- Knowledge of Virtual Data Room (VDR) security protocols and data protection standards.
- Hands-on experience and demonstrated leadership in developing AI ready platforms and guiding enterprise adoption of AI/Gen AI technologies.
Work Location & Flexibility:
This position can be located remotely however if the candidate is based in our Minneapolis or New York City locations the office follows a hybrid work model. Employees in these locations are expected to work on-site a minimum of two days per week. Please note that specific business units or role requirements may necessitate additional in-office days based on team collaboration needs or operational priorities.
$167,000.00 - $300,400.00
Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.
Job Roles in Technology in Minnesota
See all 51+ Technology Minnesota jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Technology Minnesota roles.
Get Access To All JobsFrequently Asked Questions
Which technology companies sponsor H-1B1 visas in Minnesota?
Minnesota's largest H-1B1 sponsors in technology include UnitedHealth Group, Optum, Target Corporation, and Cargill, which maintain substantial technology divisions in the Twin Cities. Financial technology firms and medical device companies such as Medtronic also file H-1B1 petitions regularly. Sponsorship patterns vary by company size, hiring cycle, and whether the role meets the specialty occupation standard, so researching individual employer LCA filings on the DOL OFLC disclosure database provides the most accurate picture.
Which cities in Minnesota have the most technology H-1B1 sponsorship jobs?
Minneapolis and Saint Paul, collectively known as the Twin Cities metro, account for the overwhelming majority of technology H-1B1 sponsorship activity in Minnesota. Bloomington, Minnetonka, and Eden Prairie host significant corporate headquarters and technology campuses within the broader metro area. Rochester has a smaller but notable concentration of technology roles tied to Mayo Clinic's digital and data infrastructure. Most H-1B1 petitions filed in Minnesota list a Twin Cities address as the worksite.
What types of technology roles typically qualify for H-1B1 sponsorship?
H-1B1 sponsorship in Minnesota's technology sector is concentrated in roles that meet the specialty occupation standard, meaning the position normally requires at least a bachelor's degree in a specific technical field. Common qualifying roles include software engineers, data analysts, systems architects, cybersecurity analysts, and cloud infrastructure engineers. Roles in health informatics and financial technology platforms are also frequently sponsored given Minnesota's industry mix. Generalist IT support positions without a specific degree requirement are less likely to qualify.
How do I find technology H-1B1 sponsorship jobs in Minnesota?
Migrate Mate is built specifically for this search. You can filter by visa type, state, and industry to surface technology roles in Minnesota where employers have a history of H-1B1 sponsorship. Because the H-1B1 is exclusive to Chilean and Singaporean nationals, the pool of eligible candidates is smaller than the H-1B, which can work in your favor with employers already familiar with the category. Migrate Mate surfaces verified sponsorship opportunities so you are not guessing which postings are actually open to H-1B1 applicants.
Are there any Minnesota-specific considerations for H-1B1 sponsorship in technology?
Minnesota's technology hiring is heavily shaped by its healthcare, retail, and agriculture industries, meaning many technology roles are embedded within large non-tech corporations rather than pure software companies. These employers often have established immigration programs and legal resources to process H-1B1 petitions, but their hiring timelines can be longer and more structured than startups. Minnesota does not impose state-level visa sponsorship requirements beyond federal obligations, so the standard H-1B1 Labor Condition Application and USCIS petition process applies.
What is the prevailing wage for H-1B1 technology jobs in Minnesota?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
See which technology employers are hiring and sponsoring visas in Minnesota right now.
Search Technology Jobs in Minnesota