Enterprise Data Architect Jobs in USA with Visa Sponsorship
Enterprise Data Architects are strong H-1B visa and O-1A candidates. The role qualifies as a specialty occupation under USCIS guidelines, and employers in financial services, healthcare, and tech routinely sponsor. Most positions require a bachelor's degree in computer science, information systems, or a related field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
At Forvis Mazars, technology is a catalyst for growth, innovation, and transformation. Firm Technology Services (FTS) sits at the intersection of business strategy and digital enablement, partnering across the firm to harness emerging technologies, advance AI-driven solutions, modernize the portfolio, and create new capabilities that accelerate operational success. Our culture is collaborative, engineering-minded, and future-focused, empowering talented professionals to solve complex challenges, challenge conventional thinking, and build solutions that make a measurable impact. This role is more than an opportunity to support a function. It is a chance to help shape the future of the firm, directly contributing to strategic growth initiatives, exceptional client experiences, and the continued evolution of a world-class technology organization.
Data is more than an enterprise asset. It is a catalyst for smarter decisions, differentiated experiences, innovation, competitive advantage, and significant growth. Our Enterprise Data & Analytics organization is building a modern, trusted data ecosystem designed to make high-quality data easier to find, govern, share, and activate across the firm.
We are seeking a forward-thinking Enterprise Data & AI Architect to help define and deliver the next generation of our enterprise architecture. This position will shape the data and AI architecture supporting the Databricks Intelligence Platform and the broader firm data strategy, creating a scalable foundation for reporting, analytics, real-time data, generative AI, AI assistants, and emerging agentic AI capabilities.
ROLE AND RESPONSIBILITIES
Working across business and technology teams, the Enterprise Data & AI Architect will establish architecture patterns, information models, governance principles, and platform standards that balance innovation, scalability, security, and speed to value. This is an opportunity to help shape not only a technology platform, but also how Forvis Mazars uses trusted data and AI to operate, innovate, and grow.
What You Will Do:
- Define and maintain the target architecture for enterprise data and AI, including reference architectures, patterns, principles, and technology standards
- Provide architecture leadership across data architecture, enterprise AI architecture, and information architecture
- Architect enterprise lakehouse solutions using Databricks, including Medallion architecture, layered data structures, reusable data products, semantic structures, and governed consumption patterns
- Design data architectures that support business intelligence, reporting, analytics, machine learning, AI assistants, and agentic AI from a common, governed data foundation
- Establish patterns for reusable data and AI services rather than developing separate infrastructure for each AI use case
- Design secure data architectures using Unity Catalog, including data-access boundaries, metadata management, row- and column-level security, lineage, and governance
- Establish architecture patterns for governed data access by AI agents, reusable agent services, tool and function interfaces, and orchestration
- Lead architecture reviews for new data, analytics, and AI solutions to ensure alignment with enterprise standards before governed data access is provided
- Partner with engineering teams to translate architecture into implementable technical designs
- Remain sufficiently hands-on to validate architecture patterns and resolve complex design issues
- Work with Data Governance, Security, and Privacy teams to embed security, privacy, data quality, lineage, and governance into solution designs
- Partner with Enterprise Architecture to evaluate new data and AI capabilities and determine their potential fit for the firm
- Provide data architecture leadership across business domains while balancing service-line and domain requirements with enterprise standards
- Evaluate new capabilities within the Databricks Intelligence Platform and determine their suitability for enterprise use
- Coach and supervise the Databricks Platform Administrator
MINIMUM QUALIFICATIONS
- Eight or more years of experience working with enterprise data platforms across data engineering, reporting, analytics, or architecture
- Five or more years of experience architecting enterprise data platforms using Databricks
- Hands-on architecture experience with Unity Catalog, lakehouse architecture, Medallion architecture, data modeling, data security frameworks, and reference data architectures
- Strong understanding of scalable data pipelines, orchestration, performance, and reliability
- Strong understanding of AI and machine-learning architectures
- Hands-on experience designing governed data access for AI agents, reusable agent services, tool and function interfaces, and orchestration patterns
- Strong Microsoft Azure architecture experience, particularly across networking, identity, storage, security, and Databricks integrations
- Working knowledge of Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, and Microsoft Foundry integration patterns
- Experience designing data security frameworks that incorporate identity-based access, least-privilege principles, data classification, sensitive-data protection, and secure data and AI consumption
- Demonstrated ability to architect enterprise data and AI capabilities on Databricks
- Experience designing reusable, governed data and AI services that support multiple analytics, machine-learning, and agentic AI use cases
- Ability to translate architecture strategy and standards into implementable technical designs
- Strong communication and collaboration skills with the ability to work across business, engineering, security, governance, and enterprise architecture teams
- Experience providing technical guidance, coaching, or supervision to technology professionals
PREFERRED QUALIFICATIONS
- Bachelor’s degree in computer science, information technology, data architecture, engineering, or a related field
- Ten or more years of experience with enterprise data platforms across data engineering, reporting, analytics, and architecture
- Databricks professional certification
- Experience establishing enterprise architecture standards for data, analytics, generative AI, and agentic AI
- Experience implementing ontologies or knowledge graphs within an enterprise data environment
- Experience developing reusable AI services and governed data-access patterns for AI agents
- Experience integrating Databricks with Microsoft Fabric, Power BI, Copilot Studio, or Microsoft Foundry
- Experience leading architecture governance or solution-review processes across multiple business domains
- Experience balancing domain-specific requirements with enterprise architecture and governance standards
- Experience supervising or coaching a Databricks platform administrator or similar technical professional
INTRODUCTION
At Forvis Mazars, technology is a catalyst for growth, innovation, and transformation. Firm Technology Services (FTS) sits at the intersection of business strategy and digital enablement, partnering across the firm to harness emerging technologies, advance AI-driven solutions, modernize the portfolio, and create new capabilities that accelerate operational success. Our culture is collaborative, engineering-minded, and future-focused, empowering talented professionals to solve complex challenges, challenge conventional thinking, and build solutions that make a measurable impact. This role is more than an opportunity to support a function. It is a chance to help shape the future of the firm, directly contributing to strategic growth initiatives, exceptional client experiences, and the continued evolution of a world-class technology organization.
Data is more than an enterprise asset. It is a catalyst for smarter decisions, differentiated experiences, innovation, competitive advantage, and significant growth. Our Enterprise Data & Analytics organization is building a modern, trusted data ecosystem designed to make high-quality data easier to find, govern, share, and activate across the firm.
We are seeking a forward-thinking Enterprise Data & AI Architect to help define and deliver the next generation of our enterprise architecture. This position will shape the data and AI architecture supporting the Databricks Intelligence Platform and the broader firm data strategy, creating a scalable foundation for reporting, analytics, real-time data, generative AI, AI assistants, and emerging agentic AI capabilities.
ROLE AND RESPONSIBILITIES
Working across business and technology teams, the Enterprise Data & AI Architect will establish architecture patterns, information models, governance principles, and platform standards that balance innovation, scalability, security, and speed to value. This is an opportunity to help shape not only a technology platform, but also how Forvis Mazars uses trusted data and AI to operate, innovate, and grow.
What You Will Do:
- Define and maintain the target architecture for enterprise data and AI, including reference architectures, patterns, principles, and technology standards
- Provide architecture leadership across data architecture, enterprise AI architecture, and information architecture
- Architect enterprise lakehouse solutions using Databricks, including Medallion architecture, layered data structures, reusable data products, semantic structures, and governed consumption patterns
- Design data architectures that support business intelligence, reporting, analytics, machine learning, AI assistants, and agentic AI from a common, governed data foundation
- Establish patterns for reusable data and AI services rather than developing separate infrastructure for each AI use case
- Design secure data architectures using Unity Catalog, including data-access boundaries, metadata management, row- and column-level security, lineage, and governance
- Establish architecture patterns for governed data access by AI agents, reusable agent services, tool and function interfaces, and orchestration
- Lead architecture reviews for new data, analytics, and AI solutions to ensure alignment with enterprise standards before governed data access is provided
- Partner with engineering teams to translate architecture into implementable technical designs
- Remain sufficiently hands-on to validate architecture patterns and resolve complex design issues
- Work with Data Governance, Security, and Privacy teams to embed security, privacy, data quality, lineage, and governance into solution designs
- Partner with Enterprise Architecture to evaluate new data and AI capabilities and determine their potential fit for the firm
- Provide data architecture leadership across business domains while balancing service-line and domain requirements with enterprise standards
- Evaluate new capabilities within the Databricks Intelligence Platform and determine their suitability for enterprise use
- Coach and supervise the Databricks Platform Administrator
MINIMUM QUALIFICATIONS
- Eight or more years of experience working with enterprise data platforms across data engineering, reporting, analytics, or architecture
- Five or more years of experience architecting enterprise data platforms using Databricks
- Hands-on architecture experience with Unity Catalog, lakehouse architecture, Medallion architecture, data modeling, data security frameworks, and reference data architectures
- Strong understanding of scalable data pipelines, orchestration, performance, and reliability
- Strong understanding of AI and machine-learning architectures
- Hands-on experience designing governed data access for AI agents, reusable agent services, tool and function interfaces, and orchestration patterns
- Strong Microsoft Azure architecture experience, particularly across networking, identity, storage, security, and Databricks integrations
- Working knowledge of Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, and Microsoft Foundry integration patterns
- Experience designing data security frameworks that incorporate identity-based access, least-privilege principles, data classification, sensitive-data protection, and secure data and AI consumption
- Demonstrated ability to architect enterprise data and AI capabilities on Databricks
- Experience designing reusable, governed data and AI services that support multiple analytics, machine-learning, and agentic AI use cases
- Ability to translate architecture strategy and standards into implementable technical designs
- Strong communication and collaboration skills with the ability to work across business, engineering, security, governance, and enterprise architecture teams
- Experience providing technical guidance, coaching, or supervision to technology professionals
PREFERRED QUALIFICATIONS
- Bachelor’s degree in computer science, information technology, data architecture, engineering, or a related field
- Ten or more years of experience with enterprise data platforms across data engineering, reporting, analytics, and architecture
- Databricks professional certification
- Experience establishing enterprise architecture standards for data, analytics, generative AI, and agentic AI
- Experience implementing ontologies or knowledge graphs within an enterprise data environment
- Experience developing reusable AI services and governed data-access patterns for AI agents
- Experience integrating Databricks with Microsoft Fabric, Power BI, Copilot Studio, or Microsoft Foundry
- Experience leading architecture governance or solution-review processes across multiple business domains
- Experience balancing domain-specific requirements with enterprise architecture and governance standards
- Experience supervising or coaching a Databricks platform administrator or similar technical professional
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Get Access To All JobsTips for Finding Enterprise Data Architect Jobs
Target industries with established sponsorship pipelines
Financial services, healthcare systems, and large tech firms sponsor Enterprise Data Architects most consistently. These sectors have dedicated immigration counsel and internal processes for H-1B and green card filings, reducing delays and uncertainty for the candidate.
Lead with your data governance and architecture frameworks
Employers sponsoring this role want evidence of enterprise-scale impact. Highlight experience with specific frameworks like TOGAF or DAMA, and quantify the scope of systems you've designed. This strengthens both the job offer and the specialty occupation argument for USCIS.
Clarify your degree field early in conversations
USCIS requires a direct connection between your degree field and the role. Computer science, information systems, and data engineering degrees map cleanly. If your degree is in a different discipline, prepare to document how your coursework and experience establish that equivalency.
Ask about green card timelines before accepting an offer
Many Enterprise Data Architect roles are long-term hires. Ask whether the employer has sponsored EB-2 or EB-3 petitions before and what their typical timeline looks like. Employers experienced with PERM labor certification are significantly easier to work with long-term.
Document your enterprise-level decision-making authority
USCIS scrutinizes whether architect roles involve truly specialized judgment. Gather examples of cross-functional leadership, technology roadmap ownership, and vendor or platform selection decisions. This documentation supports the specialty occupation petition and reduces RFE risk.
Use Migrate Mate to filter for verified sponsoring employers
Not every job posting that mentions data architecture is from an employer willing to sponsor. Migrate Mate surfaces roles from companies with active sponsorship history, saving you from spending weeks pursuing positions that will stall at the visa stage.
Frequently Asked Questions
Does an Enterprise Data Architect role qualify as a specialty occupation for H-1B purposes?
Yes. Enterprise Data Architect is a strong specialty occupation candidate because the role requires at minimum a bachelor's degree in computer science, information systems, data engineering, or a directly related field. USCIS looks for a direct and normal requirement of that specific degree type, and data architecture satisfies this consistently. RFEs are less common for this title than for more generalist IT roles.
Which visa categories are available to Enterprise Data Architects seeking U.S. sponsorship?
The H-1B visa is the most common path and applies to most nationalities. Australians with a qualifying degree can pursue the E-3 visa, which has no lottery. Canadians and Mexicans may qualify under TN visa if the role maps to a covered USMCA category. Architects with a documented national reputation, major awards, or publications may also be competitive for the O-1A.
My degree is in a field adjacent to data, like mathematics or electrical engineering. Will that create problems with H-1B sponsorship?
It can create complications but isn't disqualifying. USCIS allows equivalent education and experience when there's a clear relationship between the degree field and the role. A mathematics or engineering background with substantial data architecture experience can support a specialty occupation finding, but the employer's immigration attorney will need to build that argument carefully in the petition.
How do I find Enterprise Data Architect jobs where the employer will actually sponsor a visa?
The challenge isn't finding job postings, it's identifying which employers have a real track record of sponsoring. Migrate Mate filters for companies that have demonstrated sponsorship history, so you can focus your applications on roles where visa support is genuine rather than theoretical. This is especially important for architect-level roles, where the hiring process is long and you don't want to discover the employer won't sponsor after six rounds of interviews.
Can an Enterprise Data Architect pursue a green card through employment, and how long does it typically take?
Yes. Most Enterprise Data Architects pursue green cards through the EB-2 category, which requires an advanced degree or exceptional ability. Some may qualify for EB-1B if they have extraordinary ability in their field. Indian and Chinese nationals face significant backlogs in the EB-2 queue due to per-country caps. Other nationalities can often complete the PERM and I-140 process and reach adjustment of status within two to four years.
What is the prevailing wage requirement for sponsored Enterprise Data Architect jobs?
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.