H-1B1 Singapore Visa Data Architect Jobs
H-1B1 Singapore visa sponsorship lets Singaporean nationals step into Data Architect roles in the U.S. without a lottery or USCIS petition. The 5,400-visa annual cap rarely fills, and you apply directly at the consulate, making this one of the most direct paths to U.S. employment for Singaporean data professionals.
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Get Access To All JobsAbout The Team
The Growth and Support Services team is responsible for building and maintaining the systems, data foundations, and operational processes that support our go-to-market and customer-facing teams. The team partners closely with Revenue Operations, Business Systems, Data Engineering, Analytics, Sales, Marketing, Customer Success, Support, Security, and other cross-functional stakeholders. Our work helps ensure that customer and prospect data is accurate, consistent, secure, and actionable across the full customer lifecycle.
About The Role
As a Data Architect, you will define and improve the data architecture supporting our go-to-market systems and enterprise CRM environment. You will lead efforts to improve Salesforce and internal data from initial lead acquisition and enrichment through sales, onboarding, customer success, and support. You will design scalable data models, establish system-of-record definitions, improve integrations, and lead data-quality and governance initiatives across customer, account, contact, lead, opportunity, and support data. We’re looking for people who combine strong technical expertise in enterprise data architecture with hands-on experience improving complex CRM environments. You should be comfortable working across architecture, data modeling, integration design, governance, and implementation. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.
In This Role You Will
- Define the target architecture for customer, account, contact, lead, opportunity, activity, campaign, and support data.
- Assess and improve Salesforce data across the lead-to-support lifecycle.
- Design canonical data models, entity relationships, identity-resolution rules, and system-of-record definitions.
- Lead data-cleansing and remediation initiatives, including deduplication, normalization, enrichment, validation, and historical cleanup.
- Establish matching, merging, and survivorship rules for people, companies, accounts, and related records.
- Architect integrations between Salesforce, data warehouses, operational systems, support platforms, and third-party data providers.
- Define standards for field definitions, lifecycle stages, ownership, metadata, lineage, retention, and access controls.
- Implement automated monitoring for data quality, completeness, freshness, consistency, and integration failures.
- Improve the flow of data between marketing, sales, customer success, and support systems.
- Evaluate third-party data sources and define how external data should be matched, validated, and incorporated into enterprise systems.
- Partner with Business Systems, Revenue Operations, Data Engineering, Analytics, Security, and business stakeholders to translate operational requirements into durable technical solutions.
- Produce architecture diagrams, data dictionaries, integration specifications, governance documentation, and implementation guidance.
- Provide technical leadership and guide teams through complex data architecture and system-design decisions.
- Support and improve integrations involving Salesforce and go-to-market data platforms such as Clay, PitchBook, ZoomInfo, HG Insights, Cognism, Harmonic, and Meticulate.
You Might Thrive In This Role If You
- Have deep expertise in enterprise data architecture, data management, data engineering, or a related technical discipline.
- Have strong hands-on experience with Salesforce data architecture, including leads, contacts, accounts, opportunities, activities, campaigns, and support-related objects.
- Have successfully cleaned, restructured, or migrated large and complex enterprise CRM datasets.
- Understand master data management, identity resolution, entity matching, deduplication, metadata management, data lineage, and data governance.
- Have experience designing batch, API-based, event-driven, and reverse-ETL integrations.
- Have advanced SQL skills.
- Understand relational databases, cloud data warehouses, APIs, data pipelines, integration platforms, and distributed data systems.
- Have experience defining data-quality rules, observability controls, reconciliation processes, and measurable service-level expectations.
- Can translate business processes and operational requirements into scalable technical models and architecture.
- Have experience with Salesforce and several of the following platforms: Clay, PitchBook, ZoomInfo, HG Insights, Cognism, Harmonic, and Meticulate.
- Have comparable experience with sales intelligence, enrichment, company-data, prospecting, or go-to-market automation platforms.
- Have experience integrating CRM data with cloud data warehouses and business intelligence environments.
- Are familiar with data contracts, schema versioning, change-data capture, and event-driven architecture.
- Have experience managing sensitive customer and prospect data in accordance with privacy, security, and retention requirements.
- Communicate complex technical decisions clearly to both technical and non-technical audiences.
- Have led cross-functional data modernization, CRM transformation, or enterprise data-governance programs.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation Range: $260K - $288K
About The Team
The Growth and Support Services team is responsible for building and maintaining the systems, data foundations, and operational processes that support our go-to-market and customer-facing teams. The team partners closely with Revenue Operations, Business Systems, Data Engineering, Analytics, Sales, Marketing, Customer Success, Support, Security, and other cross-functional stakeholders. Our work helps ensure that customer and prospect data is accurate, consistent, secure, and actionable across the full customer lifecycle.
About The Role
As a Data Architect, you will define and improve the data architecture supporting our go-to-market systems and enterprise CRM environment. You will lead efforts to improve Salesforce and internal data from initial lead acquisition and enrichment through sales, onboarding, customer success, and support. You will design scalable data models, establish system-of-record definitions, improve integrations, and lead data-quality and governance initiatives across customer, account, contact, lead, opportunity, and support data. We’re looking for people who combine strong technical expertise in enterprise data architecture with hands-on experience improving complex CRM environments. You should be comfortable working across architecture, data modeling, integration design, governance, and implementation. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.
In This Role You Will
- Define the target architecture for customer, account, contact, lead, opportunity, activity, campaign, and support data.
- Assess and improve Salesforce data across the lead-to-support lifecycle.
- Design canonical data models, entity relationships, identity-resolution rules, and system-of-record definitions.
- Lead data-cleansing and remediation initiatives, including deduplication, normalization, enrichment, validation, and historical cleanup.
- Establish matching, merging, and survivorship rules for people, companies, accounts, and related records.
- Architect integrations between Salesforce, data warehouses, operational systems, support platforms, and third-party data providers.
- Define standards for field definitions, lifecycle stages, ownership, metadata, lineage, retention, and access controls.
- Implement automated monitoring for data quality, completeness, freshness, consistency, and integration failures.
- Improve the flow of data between marketing, sales, customer success, and support systems.
- Evaluate third-party data sources and define how external data should be matched, validated, and incorporated into enterprise systems.
- Partner with Business Systems, Revenue Operations, Data Engineering, Analytics, Security, and business stakeholders to translate operational requirements into durable technical solutions.
- Produce architecture diagrams, data dictionaries, integration specifications, governance documentation, and implementation guidance.
- Provide technical leadership and guide teams through complex data architecture and system-design decisions.
- Support and improve integrations involving Salesforce and go-to-market data platforms such as Clay, PitchBook, ZoomInfo, HG Insights, Cognism, Harmonic, and Meticulate.
You Might Thrive In This Role If You
- Have deep expertise in enterprise data architecture, data management, data engineering, or a related technical discipline.
- Have strong hands-on experience with Salesforce data architecture, including leads, contacts, accounts, opportunities, activities, campaigns, and support-related objects.
- Have successfully cleaned, restructured, or migrated large and complex enterprise CRM datasets.
- Understand master data management, identity resolution, entity matching, deduplication, metadata management, data lineage, and data governance.
- Have experience designing batch, API-based, event-driven, and reverse-ETL integrations.
- Have advanced SQL skills.
- Understand relational databases, cloud data warehouses, APIs, data pipelines, integration platforms, and distributed data systems.
- Have experience defining data-quality rules, observability controls, reconciliation processes, and measurable service-level expectations.
- Can translate business processes and operational requirements into scalable technical models and architecture.
- Have experience with Salesforce and several of the following platforms: Clay, PitchBook, ZoomInfo, HG Insights, Cognism, Harmonic, and Meticulate.
- Have comparable experience with sales intelligence, enrichment, company-data, prospecting, or go-to-market automation platforms.
- Have experience integrating CRM data with cloud data warehouses and business intelligence environments.
- Are familiar with data contracts, schema versioning, change-data capture, and event-driven architecture.
- Have experience managing sensitive customer and prospect data in accordance with privacy, security, and retention requirements.
- Communicate complex technical decisions clearly to both technical and non-technical audiences.
- Have led cross-functional data modernization, CRM transformation, or enterprise data-governance programs.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation Range: $260K - $288K
See all H-1B1 Singapore Visa Data Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Data Architect Jobs.
Get Access To All JobsTips for Finding Data Architect Jobs
Align your credentials with SOC codes
Data Architect roles map to specific Standard Occupational Classification codes that employers use when filing the Labor Condition Application. Pull the O*NET occupation profile for your target titles to confirm your degree field and experience match the specialty occupation definition before applying.
Target employers with active LCA filings
Search Migrate Mate's H-1B1 Singapore job listings to identify employers who have already filed Labor Condition Applications for data roles. These companies understand the H-1B1 consular process and won't treat your visa status as an unfamiliar obstacle.
Verify prevailing wage tiers before negotiating
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your role and location. Use the OFLC Wage Search to check wage levels by metropolitan area before entering offer negotiations so you know the floor your employer must meet.
Prepare your specialty occupation evidence packet early
Consular officers assess whether Data Architect work qualifies as a specialty occupation requiring a bachelor's degree or higher in a directly related field. Assemble your academic transcripts, credential evaluations for Singaporean qualifications, and a detailed job duties letter from your employer before your visa interview.
Confirm your employer is E-Verify enrolled
H-1B1 visa employers must participate in E-Verify to confirm your work authorization after you arrive. Ask your prospective employer to confirm E-Verify enrollment during the offer stage rather than after you've already applied for your visa.
Understand the annual renewal cycle for long projects
H-1B1 visa status is granted in one-year increments, unlike H-1B visa's three-year initial period. If your Data Architect role involves multi-year data infrastructure projects, confirm with your employer that they'll file annual renewals without requiring you to restart the LCA certification process each time.
Frequently Asked Questions
Does a Data Architect role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes. Data Architect is classified under computer and information research occupations and typically requires a bachelor's degree or higher in computer science, information systems, or a related field. USCIS and consular officers evaluate whether the specific job duties at your employer require that theoretical and practical application of specialized knowledge, so your offer letter should describe the technical architecture responsibilities in detail rather than using a generic job title.
How is the H-1B1 Singapore visa different from the H-1B for Data Architect roles?
The H-1B1 Singapore visa has no lottery and no USCIS petition filing requirement. You apply directly at the U.S. consulate in Singapore after your employer files the Labor Condition Application with DOL. The annual cap of 5,400 visas has never been exhausted, so Singaporean nationals can apply any time of year. The trade-off is that status is granted in one-year increments rather than the H-1B's initial three-year period, which matters for Data Architects on long-term infrastructure contracts.
How do I find U.S. employers who will sponsor an H-1B1 Singapore visa for a Data Architect position?
Migrate Mate surfaces job listings specifically filtered for H-1B1 Singapore visa sponsorship, so you can identify employers who have already filed Labor Condition Applications for data roles. Searching there saves you from cold-pitching companies unfamiliar with the H-1B1 consular process, which is the most common point of friction for Singaporean applicants targeting U.S. data teams.
What documentation does a Singaporean Data Architect need for the H-1B1 consular interview?
You'll need your certified LCA from DOL, a detailed offer letter describing your Data Architect responsibilities and salary, academic transcripts showing a degree in a directly related field, a credential evaluation if your qualification is from a Singaporean institution, your valid passport, and the DS-160 confirmation. Consular officers focus on the specialty occupation tie between your degree field and your specific job duties, so the offer letter language matters more than the title alone.
Can a Singaporean Data Architect on H-1B1 status change employers mid-project?
Yes, but the process restarts. Your new employer must file a fresh Labor Condition Application with DOL and you'll need to attend a new consular interview to obtain H-1B1 visa status tied to the new employer. There's no H-1B-style portability provision that lets you begin working immediately after filing. Build transition timelines into project contracts so you're not mid-architecture rollout when a role change requires you to travel to Singapore for an interview.