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.
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Get Access To All JobsINTRODUCTION
We are seeking an experienced Enterprise Data Architect to lead the design, implementation, and evolution of enterprise-scale data architecture initiatives. This individual will play a key role in shaping data strategy, modernizing data platforms, leading complex data migration efforts, and enabling analytics and business intelligence capabilities across the organization. The ideal candidate brings deep expertise in cloud-based data architectures, data modeling, governance, integration, and modern Lakehouse technologies. This is a highly visible role that partners with business and technology leaders to ensure data is trusted, scalable, secure, and aligned with strategic business objectives.
ROLE AND RESPONSIBILITIES
Enterprise Data Strategy & Architecture:
- Develop and execute enterprise data architecture strategies aligned with business goals.
- Design scalable data models, integration frameworks, and data flows that support operational and analytical workloads.
- Establish architecture standards, best practices, and governance frameworks.
- Evaluate and recommend technologies that support long-term data management and analytics objectives.
Data Migration Leadership:
- Lead large-scale data migration initiatives from discovery through production cutover.
- Define migration strategies, mapping rules, transformation logic, and validation processes.
- Oversee data cleansing, enrichment, reconciliation, and testing efforts.
- Design and govern migration pipelines and technical architecture.
Data Governance & Quality:
- Implement data governance, metadata management, and master data management strategies.
- Establish data quality standards, monitoring processes, and performance metrics.
- Ensure compliance with security, privacy, and regulatory requirements.
- Drive data lineage, cataloging, and impact analysis initiatives.
Modern Data Platform & Lakehouse Architecture:
- Design and implement Lakehouse architectures supporting both structured and unstructured data.
- Evaluate and leverage technologies such as Microsoft Fabric, Databricks, Delta Lake, Apache Iceberg, and Apache Hudi.
- Optimize data storage, processing, and analytics performance across cloud platforms.
Business Intelligence & Analytics:
- Architect data solutions that support reporting, analytics, and executive decision-making.
- Collaborate with BI teams to develop scalable data models and analytical frameworks.
- Evaluate and recommend modern BI and visualization platforms.
Leadership & Collaboration:
- Partner with executive stakeholders, business leaders, and technical teams.
- Lead cross-functional data initiatives and architectural decision-making.
- Mentor architects, engineers, and data management professionals.
- Communicate complex technical concepts to both technical and non-technical audiences.
BASIC QUALIFICATIONS
- 10+ years of experience in data architecture, data engineering, or enterprise data management.
- Expertise in advanced SQL and enterprise data modeling.
- Strong experience designing cloud-based data platforms.
- Deep understanding of ETL/ELT frameworks and enterprise data integration.
- Experience implementing data governance, security, and compliance frameworks.
- Proven success leading enterprise-scale data migration initiatives.
- Strong communication, leadership, and stakeholder management skills.
TECHNICAL EXPERTISE
Data Architecture & Modeling:
- Conceptual, logical, and physical data modeling
- Dimensional modeling (star and snowflake schemas)
- Data Vault methodologies
- Master Data Management (MDM)
- Data modeling tools such as ERwin, ER/Studio, Lucidchart, or similar
Cloud Data Platforms
Experience with one or more major cloud ecosystems:
- Microsoft Azure (Fabric, Synapse, Data Factory)
- AWS (Redshift, Glue, Lake Formation)
- Google Cloud Platform (BigQuery, Dataflow)
Data Integration & Engineering:
- ETL/ELT design patterns
- Change Data Capture (CDC)
- API-based integrations
- Batch and real-time data processing
- Event-driven architectures (Kafka, Event Hubs)
- Tools such as dbt, Airflow, Azure Data Factory, Spark, Python, or similar
Databases & Storage:
- SQL Server, Oracle, PostgreSQL
- NoSQL platforms such as MongoDB, Cassandra, and DynamoDB
- Data warehouse, data lake, and Lakehouse architectures
- Performance tuning, partitioning, indexing, and query optimization
Governance, Security & Compliance:
- Metadata management and data lineage
- Data catalog platforms (Purview, Collibra, Alation, etc.)
- Data security, encryption, RBAC/ABAC, masking, and tokenization
- Regulatory compliance including GDPR, HIPAA, and related frameworks
PREFERRED QUALIFICATIONS
Candidates with experience in the following areas will stand out:
- Real-time and event-driven architectures
- DataOps and automation practices
- Data Mesh, Data Fabric, and modern architectural patterns
- Data observability platforms such as Monte Carlo or Great Expectations
- AI/ML data infrastructure and pipelines
- Feature stores, graph databases, and knowledge graphs
- Infrastructure as Code (Terraform, ARM Templates)
- CI/CD for data platforms using Azure DevOps or GitHub Actions
WHY THIS OPPORTUNITY?
This role offers the chance to influence enterprise-wide data strategy, drive modernization efforts, and build scalable data solutions that directly impact business performance. You'll work alongside senior leaders and technical experts while helping shape the future of the organization's data ecosystem.
LOCATION
Location: Fully Remote (U.S. – Eastern or Central Time Zones Preferred)
TYPE
Type: 6-Month Contract-to-Hire
COMPENSATION UPON CONVERSION
Compensation Upon Conversion: $150,000–$175,000 Base Salary
INTRODUCTION
We are seeking an experienced Enterprise Data Architect to lead the design, implementation, and evolution of enterprise-scale data architecture initiatives. This individual will play a key role in shaping data strategy, modernizing data platforms, leading complex data migration efforts, and enabling analytics and business intelligence capabilities across the organization. The ideal candidate brings deep expertise in cloud-based data architectures, data modeling, governance, integration, and modern Lakehouse technologies. This is a highly visible role that partners with business and technology leaders to ensure data is trusted, scalable, secure, and aligned with strategic business objectives.
ROLE AND RESPONSIBILITIES
Enterprise Data Strategy & Architecture:
- Develop and execute enterprise data architecture strategies aligned with business goals.
- Design scalable data models, integration frameworks, and data flows that support operational and analytical workloads.
- Establish architecture standards, best practices, and governance frameworks.
- Evaluate and recommend technologies that support long-term data management and analytics objectives.
Data Migration Leadership:
- Lead large-scale data migration initiatives from discovery through production cutover.
- Define migration strategies, mapping rules, transformation logic, and validation processes.
- Oversee data cleansing, enrichment, reconciliation, and testing efforts.
- Design and govern migration pipelines and technical architecture.
Data Governance & Quality:
- Implement data governance, metadata management, and master data management strategies.
- Establish data quality standards, monitoring processes, and performance metrics.
- Ensure compliance with security, privacy, and regulatory requirements.
- Drive data lineage, cataloging, and impact analysis initiatives.
Modern Data Platform & Lakehouse Architecture:
- Design and implement Lakehouse architectures supporting both structured and unstructured data.
- Evaluate and leverage technologies such as Microsoft Fabric, Databricks, Delta Lake, Apache Iceberg, and Apache Hudi.
- Optimize data storage, processing, and analytics performance across cloud platforms.
Business Intelligence & Analytics:
- Architect data solutions that support reporting, analytics, and executive decision-making.
- Collaborate with BI teams to develop scalable data models and analytical frameworks.
- Evaluate and recommend modern BI and visualization platforms.
Leadership & Collaboration:
- Partner with executive stakeholders, business leaders, and technical teams.
- Lead cross-functional data initiatives and architectural decision-making.
- Mentor architects, engineers, and data management professionals.
- Communicate complex technical concepts to both technical and non-technical audiences.
BASIC QUALIFICATIONS
- 10+ years of experience in data architecture, data engineering, or enterprise data management.
- Expertise in advanced SQL and enterprise data modeling.
- Strong experience designing cloud-based data platforms.
- Deep understanding of ETL/ELT frameworks and enterprise data integration.
- Experience implementing data governance, security, and compliance frameworks.
- Proven success leading enterprise-scale data migration initiatives.
- Strong communication, leadership, and stakeholder management skills.
TECHNICAL EXPERTISE
Data Architecture & Modeling:
- Conceptual, logical, and physical data modeling
- Dimensional modeling (star and snowflake schemas)
- Data Vault methodologies
- Master Data Management (MDM)
- Data modeling tools such as ERwin, ER/Studio, Lucidchart, or similar
Cloud Data Platforms
Experience with one or more major cloud ecosystems:
- Microsoft Azure (Fabric, Synapse, Data Factory)
- AWS (Redshift, Glue, Lake Formation)
- Google Cloud Platform (BigQuery, Dataflow)
Data Integration & Engineering:
- ETL/ELT design patterns
- Change Data Capture (CDC)
- API-based integrations
- Batch and real-time data processing
- Event-driven architectures (Kafka, Event Hubs)
- Tools such as dbt, Airflow, Azure Data Factory, Spark, Python, or similar
Databases & Storage:
- SQL Server, Oracle, PostgreSQL
- NoSQL platforms such as MongoDB, Cassandra, and DynamoDB
- Data warehouse, data lake, and Lakehouse architectures
- Performance tuning, partitioning, indexing, and query optimization
Governance, Security & Compliance:
- Metadata management and data lineage
- Data catalog platforms (Purview, Collibra, Alation, etc.)
- Data security, encryption, RBAC/ABAC, masking, and tokenization
- Regulatory compliance including GDPR, HIPAA, and related frameworks
PREFERRED QUALIFICATIONS
Candidates with experience in the following areas will stand out:
- Real-time and event-driven architectures
- DataOps and automation practices
- Data Mesh, Data Fabric, and modern architectural patterns
- Data observability platforms such as Monte Carlo or Great Expectations
- AI/ML data infrastructure and pipelines
- Feature stores, graph databases, and knowledge graphs
- Infrastructure as Code (Terraform, ARM Templates)
- CI/CD for data platforms using Azure DevOps or GitHub Actions
WHY THIS OPPORTUNITY?
This role offers the chance to influence enterprise-wide data strategy, drive modernization efforts, and build scalable data solutions that directly impact business performance. You'll work alongside senior leaders and technical experts while helping shape the future of the organization's data ecosystem.
LOCATION
Location: Fully Remote (U.S. – Eastern or Central Time Zones Preferred)
TYPE
Type: 6-Month Contract-to-Hire
COMPENSATION UPON CONVERSION
Compensation Upon Conversion: $150,000–$175,000 Base Salary
See all 90+ 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.