H-1B Visa Data Architect Jobs
Data Architect roles qualify as H-1B specialty occupations under the computer and information systems category, requiring at least a bachelor's degree in computer science, information systems, or a related field. Employers file the Labor Condition Application with DOL before petitioning USCIS, and most large technology and financial services firms have active H-1B filing histories for this role.
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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 1,432+ Data Architect jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Architect roles.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Data Architect
Map your degree to the role
USCIS scrutinizes specialty occupation claims for Data Architect petitions when the applicant's degree is in a broad field like general IT or business. A transcript showing database systems, data modeling, or distributed architecture coursework significantly strengthens your case.
Search LCA filings by job title
Use the OFLC Wage Search to pull certified Labor Condition Applications filed under SOC code 15-1243 for Data Architects. This shows which employers have actively sponsored this role and what prevailing wage levels they filed at in your target metro.
Find verified sponsors on Migrate Mate
Filter Data Architect roles on Migrate Mate by employers with confirmed H-1B LCA filing history. This cuts out companies that list the role but have no documented sponsorship record, so you target interviews where visa support is already established.
Clarify cloud platform alignment early
Employers filing H-1B petitions for Data Architects often specify cloud environments like AWS, Azure, or GCP in the job duty description submitted to USCIS. Misalignment between your experience and the filed duties can trigger a Request for Evidence after approval.
Request the prevailing wage level in writing
DOL assigns Data Architect roles to wage levels I through IV based on experience and supervisory duties. Level I wages are significantly lower than Level IV. Before accepting an offer, confirm which level the employer intends to file at and that the offered salary meets it.
Data Architect jobs are hiring across the US. Find yours.
Find Data Architect JobsData Architect H-1B Visa: Frequently Asked Questions
Does a Data Architect role qualify as an H-1B specialty occupation?
Yes. Data Architect positions fall under SOC code 15-1243 and require at minimum a bachelor's degree in computer science, information systems, or a directly related field, which satisfies USCIS's specialty occupation definition. The role's technical scope, including data modeling, schema design, and enterprise architecture, supports this classification. If your degree is in a tangential field, supplementary coursework or a credential evaluation can help close the gap.
Which industries sponsor H-1B visas most often for Data Architects?
Financial services, cloud infrastructure companies, healthcare technology, and enterprise software firms account for a large share of H-1B LCA filings for Data Architect roles. These sectors handle large-scale data governance and regulatory compliance requirements that justify the specialized role. You can verify active sponsors by searching the OFLC Wage Search for certified LCAs under the relevant SOC code, or browse employer-filtered listings on Migrate Mate.
Can I transfer my H-1B to a new employer as a Data Architect?
Yes, H-1B portability under AC21 lets you start working for a new employer as soon as they file a transfer petition, without waiting for approval, as long as your current H-1B has been approved for at least 180 days. The new employer must file a new LCA with DOL and an I-129 petition with USCIS reflecting your Data Architect duties and the applicable prevailing wage for the new worksite location.
How does the prevailing wage apply to Data Architect H-1B petitions?
DOL assigns one of four wage levels to each LCA filing based on the complexity of duties and experience required. A Data Architect role with independent design authority and cross-functional oversight typically files at Level III or IV, which carries a higher wage floor than entry-level positions. Employers must pay at least the prevailing wage for the specific worksite location, which you can look up using the OFLC Wage Search by SOC code and geography.
What documentation strengthens an H-1B petition for a Data Architect?
A strong petition includes a detailed job duty description that maps technical responsibilities to the specialty occupation definition, a degree equivalency evaluation if your credential is from outside the U.S., and evidence of the employer's business need for the role. USCIS may issue a Request for Evidence if the duties appear generalist or overlap with a non-specialty role like general IT support, so specificity in the I-129 support letter matters significantly.
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