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.
See All Enterprise Data Architect JobsOverview
Showing 5 of 96+ Enterprise Data Architect 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 96+ 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 JobsWhy join us?
Our purpose is design for the good of humankind. It’s the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone.
At MillerKnoll, the Enterprise Data Architect is accountable for defining and governing the enterprise data strategy and architecture to directly enable business growth, operational efficiency, and digital transformation. This role establishes a cohesive, scalable data ecosystem that ensures data is trusted, accessible, and actionable across all business domains.
As a senior architecture leader, you will standardize how data is defined, mastered, integrated, and consumed—eliminating fragmentation and enabling a consistent enterprise-wide data foundation. You will partner closely with business, product, engineering, and analytics teams to align data architecture with strategic priorities while reducing complexity and cost.
Essential Functions of the Enterprise Data Architect at MillerKnoll
You'll have opportunities to speak up, solve problems, lead others, and be an owner every day as someone who does the following...
Enterprise Data Strategy & Architecture
- Define and evolve the enterprise data strategy aligned to business objectives and digital initiatives.
- Establish reference architectures and target-state data patterns supporting operational and analytical use cases.
- Ensure data architecture supports scalability, flexibility, and cost efficiency across cloud and legacy environments.
Canonical Data Model & Common Language
- Own the definition and governance of the Enterprise Canonical Data Model (CDM) and Global Data Dictionary.
- Standardize core business entities (e.g., Customer, Product, Asset) across all systems and domains.
- Drive adoption of a unified data language to eliminate semantic inconsistencies across teams.
Master Data & “Single Source of Truth” (SSOT)
- Define authoritative systems of record for all critical data domains.
- Architect and govern Master Data Management (MDM) strategies, including Golden Record creation and stewardship models.
- Reduce redundancy and conflicting data definitions across platforms.
Data Integration & Orchestration
- Establish and enforce standardized integration patterns (API-first, event-driven, and data streaming).
- Reduce point-to-point integrations and integration debt across the enterprise.
- Govern enterprise data flows to ensure consistency, traceability, and scalability.
- Drive alignment toward modern distributed data architectures (e.g., Data Mesh principles where appropriate).
Data Performance, Latency & Cost Optimization
- Define standards for balancing real-time operational needs with analytical processing requirements.
- Ensure data platforms are optimized for both transaction processing and advanced analytics without excessive cost.
- Guide architecture decisions for high-performance systems and enterprise analytics platforms.
Data Governance & Quality
- Establish and enforce enterprise data standards, policies, and governance frameworks.
- Actively participate in domain data governance boards to ensure accountability and adoption.
- Improve data quality, lineage, and transparency across the enterprise.
Business Alignment & Value Realization
- Translate complex business requirements into scalable, high-impact data solutions.
- Partner with executive leadership to support strategic decision-making through data.
- Ensure data architecture investments deliver measurable business value.
Enterprise Architecture Leadership
- Serve as a key member of the Architecture Review Board (ARB), governing adherence to enterprise data standards.
- Lead data architecture reviews across all major initiatives and product domains.
- Drive enterprise-wide reduction of data and technology redundancy (“integration and data debt”).
- Partner with Information Security to align data architecture with security, privacy, and compliance requirements.
- Contribute to enterprise-wide architectural direction, ensuring data is a first-class concern in all solutions.
Operating Model & Ways of Working
- Promote a federated, domain-oriented data ownership model with strong central governance.
- Enable hypothesis-driven data engineering, encouraging experimentation and iterative delivery.
- Foster cross-functional collaboration between business, product, engineering, and analytics teams.
- Apply a customer and business outcome lens to all data architecture decisions.
- Continuously evaluate and adopt modern data technologies and practices where they provide clear value.
Skills & Capabilities
Technical & Architectural Expertise
- Deep expertise in distributed data systems across hybrid (legacy + cloud-native) environments.
- Strong understanding of data modeling, data integration patterns, and modern data platforms.
- Experience with API-driven, event-driven, and streaming architectures.
- Experience with AWS and Snowflake.
Strategic & Business Acumen
- Ability to connect data architecture decisions to business outcomes and financial impact.
- Strong cost-awareness when designing scalable data solutions.
- Ability to evaluate trade-offs between speed, cost, and long-term maintainability.
Leadership & Influence
- Proven ability to influence without authority in a complex, matrixed organization.
- Strong communication skills with the ability to simplify complex concepts for executive audiences.
- Experience driving enterprise-wide change and standardization efforts.
Mindset & Approach
- Balances strategic thinking with hands-on execution.
- Comfortable operating in ambiguity and making principled architectural bets.
- Challenges conventional thinking and avoids unnecessary technology complexity.
- Connects disparate ideas into cohesive, scalable solutions.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Business, or related field is preferred.
- 10+ years of experience in enterprise data, architecture, or related IT disciplines is preferred.
- 5+ years of leadership experience across multiple teams or functions is preferred.
- Experience operating at or advising executive leadership levels.
Who We Hire?
Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We’re committed to equal opportunity employment, including veterans and people with disabilities.
This organization participates in E-Verify Employment Eligibility Verification. In general, MillerKnoll positions are closed within 45 days and are open for applications for a minimum of 5 days. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings.
MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_help@millerknoll.com.
Why join us?
Our purpose is design for the good of humankind. It’s the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone.
At MillerKnoll, the Enterprise Data Architect is accountable for defining and governing the enterprise data strategy and architecture to directly enable business growth, operational efficiency, and digital transformation. This role establishes a cohesive, scalable data ecosystem that ensures data is trusted, accessible, and actionable across all business domains.
As a senior architecture leader, you will standardize how data is defined, mastered, integrated, and consumed—eliminating fragmentation and enabling a consistent enterprise-wide data foundation. You will partner closely with business, product, engineering, and analytics teams to align data architecture with strategic priorities while reducing complexity and cost.
Essential Functions of the Enterprise Data Architect at MillerKnoll
You'll have opportunities to speak up, solve problems, lead others, and be an owner every day as someone who does the following...
Enterprise Data Strategy & Architecture
- Define and evolve the enterprise data strategy aligned to business objectives and digital initiatives.
- Establish reference architectures and target-state data patterns supporting operational and analytical use cases.
- Ensure data architecture supports scalability, flexibility, and cost efficiency across cloud and legacy environments.
Canonical Data Model & Common Language
- Own the definition and governance of the Enterprise Canonical Data Model (CDM) and Global Data Dictionary.
- Standardize core business entities (e.g., Customer, Product, Asset) across all systems and domains.
- Drive adoption of a unified data language to eliminate semantic inconsistencies across teams.
Master Data & “Single Source of Truth” (SSOT)
- Define authoritative systems of record for all critical data domains.
- Architect and govern Master Data Management (MDM) strategies, including Golden Record creation and stewardship models.
- Reduce redundancy and conflicting data definitions across platforms.
Data Integration & Orchestration
- Establish and enforce standardized integration patterns (API-first, event-driven, and data streaming).
- Reduce point-to-point integrations and integration debt across the enterprise.
- Govern enterprise data flows to ensure consistency, traceability, and scalability.
- Drive alignment toward modern distributed data architectures (e.g., Data Mesh principles where appropriate).
Data Performance, Latency & Cost Optimization
- Define standards for balancing real-time operational needs with analytical processing requirements.
- Ensure data platforms are optimized for both transaction processing and advanced analytics without excessive cost.
- Guide architecture decisions for high-performance systems and enterprise analytics platforms.
Data Governance & Quality
- Establish and enforce enterprise data standards, policies, and governance frameworks.
- Actively participate in domain data governance boards to ensure accountability and adoption.
- Improve data quality, lineage, and transparency across the enterprise.
Business Alignment & Value Realization
- Translate complex business requirements into scalable, high-impact data solutions.
- Partner with executive leadership to support strategic decision-making through data.
- Ensure data architecture investments deliver measurable business value.
Enterprise Architecture Leadership
- Serve as a key member of the Architecture Review Board (ARB), governing adherence to enterprise data standards.
- Lead data architecture reviews across all major initiatives and product domains.
- Drive enterprise-wide reduction of data and technology redundancy (“integration and data debt”).
- Partner with Information Security to align data architecture with security, privacy, and compliance requirements.
- Contribute to enterprise-wide architectural direction, ensuring data is a first-class concern in all solutions.
Operating Model & Ways of Working
- Promote a federated, domain-oriented data ownership model with strong central governance.
- Enable hypothesis-driven data engineering, encouraging experimentation and iterative delivery.
- Foster cross-functional collaboration between business, product, engineering, and analytics teams.
- Apply a customer and business outcome lens to all data architecture decisions.
- Continuously evaluate and adopt modern data technologies and practices where they provide clear value.
Skills & Capabilities
Technical & Architectural Expertise
- Deep expertise in distributed data systems across hybrid (legacy + cloud-native) environments.
- Strong understanding of data modeling, data integration patterns, and modern data platforms.
- Experience with API-driven, event-driven, and streaming architectures.
- Experience with AWS and Snowflake.
Strategic & Business Acumen
- Ability to connect data architecture decisions to business outcomes and financial impact.
- Strong cost-awareness when designing scalable data solutions.
- Ability to evaluate trade-offs between speed, cost, and long-term maintainability.
Leadership & Influence
- Proven ability to influence without authority in a complex, matrixed organization.
- Strong communication skills with the ability to simplify complex concepts for executive audiences.
- Experience driving enterprise-wide change and standardization efforts.
Mindset & Approach
- Balances strategic thinking with hands-on execution.
- Comfortable operating in ambiguity and making principled architectural bets.
- Challenges conventional thinking and avoids unnecessary technology complexity.
- Connects disparate ideas into cohesive, scalable solutions.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Business, or related field is preferred.
- 10+ years of experience in enterprise data, architecture, or related IT disciplines is preferred.
- 5+ years of leadership experience across multiple teams or functions is preferred.
- Experience operating at or advising executive leadership levels.
Who We Hire?
Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We’re committed to equal opportunity employment, including veterans and people with disabilities.
This organization participates in E-Verify Employment Eligibility Verification. In general, MillerKnoll positions are closed within 45 days and are open for applications for a minimum of 5 days. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings.
MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_help@millerknoll.com.
See all 96+ 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 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.
Enterprise Data Architect jobs are hiring across the US. Find yours.
Find Enterprise Data Architect JobsFrequently 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 is the most common path and applies to most nationalities. Australians with a qualifying degree can pursue the E-3, which has no lottery. Canadians and Mexicans may qualify under TN 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.
See which Enterprise Data Architect employers are hiring and sponsoring visas right now.
Search Enterprise Data Architect Jobs