H-1B Visa Enterprise Data Architect Jobs
Enterprise Data Architect roles qualify for H-1B visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, information systems, or a related field. Most sponsors file under the cap, so timing your search around the April lottery window and targeting cap-exempt employers can expand your options significantly.
Find H-1B Visa Enterprise Data Architect JobsOverview
Showing 5 of 173+ Enterprise Data Architect jobs
See all 173+ Enterprise Data Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Enterprise Data Architect roles.
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
See all 173+ H-1B Visa Enterprise Data Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Enterprise Data Architect Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Enterprise Data Architect
Document your specialty occupation credentials early
Pull your degree transcripts and any credential evaluations now. USCIS scrutinizes Enterprise Data Architect petitions for degree-to-role alignment, so a transcript showing database systems, data modeling, or enterprise architecture coursework strengthens your specialty occupation case significantly.
Target cap-exempt employers for faster timelines
Universities, nonprofit research institutions, and government-affiliated entities are cap-exempt, meaning your employer can file anytime without waiting for April. Data architecture roles at these organizations are less common but do exist, especially in research computing and academic IT.
Verify the prevailing wage tier before accepting an offer
Your employer must file an LCA certifying your salary meets the DOL prevailing wage for your location and role. Check the OFLC Wage Search using SOC code 15-1243 to confirm your offered salary hits at least Level II before signing anything.
Search LCA filing history by role on Migrate Mate
Filter by occupation code to see which employers have certified LCAs for Enterprise Data Architect roles. This surfaces companies with active sponsorship history, so you're targeting employers already familiar with the filing process rather than convincing someone to start from scratch.
Prepare for RFEs on job duty specificity
USCIS frequently issues Requests for Evidence on data architect petitions questioning whether duties are truly specialty-level. Work with your employer to draft a detailed job description referencing O*NET task categories and specifying the architectural frameworks, cloud platforms, and data governance tools the role requires.
Use the 60-day grace period strategically between roles
If you're changing employers, you have a 60-day grace period after your current H-1B end date. Your new employer can file a concurrent or transfer petition during this window, but avoid starting work until USCIS issues a receipt notice confirming the transfer is in process.
H-1B Visa Enterprise Data Architect: Frequently Asked Questions
Does an Enterprise Data Architect role qualify as a specialty occupation for H-1B purposes?
Yes. Enterprise Data Architect is classified under SOC code 15-1243 and requires at least a bachelor's degree in computer science, information systems, or a directly related field. USCIS evaluates whether the specific job duties demand theoretical and practical application of highly specialized knowledge, so your employer's job description must reflect genuine architectural responsibilities, not generalist IT tasks.
Which employers are most likely to sponsor H-1B visas for Enterprise Data Architects?
Large technology firms, financial institutions, healthcare systems, and consulting companies with dedicated data infrastructure teams have the strongest sponsorship track records for this role. Cap-exempt employers like universities and nonprofit research centers are also worth targeting since they can file outside the lottery window. You can browse verified sponsoring employers on Migrate Mate, filtered specifically for data architecture roles.
How does the H-1B lottery affect my job search timeline as a data architect?
Most private-sector employers are cap-subject, meaning your petition enters the annual lottery with a registration window typically in March and an October 1 start date if selected. This creates a gap of roughly six months from registration to authorization. Plan your job search to land an offer by February so your employer can register in time, or prioritize cap-exempt employers to bypass the lottery entirely.
Can my employer file for H-1B sponsorship if I'm currently on OPT as a data architect?
Yes, and this is one of the most common paths. If your OPT authorization extends through October 1 of the cap year, your employer files an H-1B petition in April and your status converts when the new cap year begins. If your OPT expires before October 1, a STEM OPT extension, if you qualify, can bridge the gap and keep you authorized while your petition is pending.
What documentation should I gather to support my employer's H-1B petition for this role?
Your employer needs your degree transcripts, a credential evaluation if your degree is from outside the U.S., and evidence that your educational background directly relates to data architecture. If you hold a degree in a tangentially related field, gather documentation of progressive work experience and any certifications in enterprise architecture frameworks. USCIS will evaluate the degree-to-duty connection closely for this occupation.