H-1B Visa Enterprise Data Architect Jobs
Enterprise Data Architect roles qualify for H-1B 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.
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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 81+ 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 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.
Enterprise Data Architect jobs are hiring across the US. Find yours.
Find Enterprise Data Architect JobsEnterprise Data Architect H-1B Visa: 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.
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