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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About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
Position overview:
Biotherapeutics and Genetic Medicine (BGM) sits within AbbVie’s Discovery Research organization and supports discovery and optimization across biotherapeutic and genetic medicine modalities, including monoclonal antibodies, multispecifics, proteins, conjugates, AAV, LNPs, and siRNA.
The Principal Data Architect will shape the cloud-native data foundation that enables predictive and generative AI/ML solutions in discovery scientist workflows. This role owns the architecture, adoption, and continuous improvement of a scalable data platform that connects laboratory data across dozens of assays, supports machine learning development and deployment, and improves how scientific data is used across the organization.
The position reports to the Head of AI/ML in BGM and serves as a trusted advisor to senior leadership. This is a technical leadership role on the individual contributor track, with potential to expand into people management in the future. It requires close partnership with wet lab scientists, ML engineers, software engineers, data engineers, automation teams, and data governance partners. The role is central to building a robust, resilient, and scalable data foundation for BGM’s AI/ML strategy.
Responsibilities:
- Define and drive the architecture for a scalable, cloud-native data platform that supports AbbVie’s AI/ML strategy in BGM.
- Design data models and integration patterns that connect datasets generated across multiple lab groups and establish certified datasets for downstream scientific, operational, and machine learning use.
- Partner with wet lab scientists and automation engineers to maximize the value of data captured through lab automation workflows.
- Work with data scientists and deployment engineers to ensure data pipelines support both model development and production deployment.
- Advance FAIR data practices and data stewardship in alignment with BGM strategic priorities.
- Champion connected data, data-as-a-product, and cloud-first architecture principles across the organization.
- Partner with data infrastructure and governance experts to ensure data policies are implemented effectively.
- Align BGM data infrastructure initiatives with broader AbbVie efforts such as Convergence and ARCH.
- Communicate platform impact through user stories, metrics, and KPIs that show the value of the data platform to AbbVie’s therapeutic program pipeline.
Qualifications
- MS with 14+ years’ or PhD with 8+ years’ experience in machine learning, computer science, applied mathematics, data science, computational biology, or a closely related field.
- 6+ years of experience in data architecture after completion of graduate studies, with a track record of designing enterprise data platforms.
- Graduate degree in computer science, data science, computational biology, computational chemistry, computational biophysics, or a related field.
- Experience designing enterprise data platforms.
- Strong technical skills in data modeling, data integration, data storage solutions, data pipelines, and AI/ML integration.
- Production programming experience in SQL, Python, or Java.
- Experience building cloud data infrastructure on AWS, Azure, or GCP.
- Ability to work across wet lab and dry lab scientific workflows.
- Experience collaborating across functions and building stakeholder alignment.
- Strong communication and interpersonal skills.
- Ability to apply data governance principles in day-to-day decision-making.
- Experience in the pharmaceutical or biotechnology industry.
Preferred:
- Experience leading cross-functional technical teams across reporting lines and multiplying their impact through best practices.
- Experience working in large, cross-functional R&D environments.
Work Environment:
- Hybrid role based in Worcester, MA.
- On-site presence required 3 days per week. Relocation is available to those not currently living in MA.
- This is an individual contributor role.
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
Position overview:
Biotherapeutics and Genetic Medicine (BGM) sits within AbbVie’s Discovery Research organization and supports discovery and optimization across biotherapeutic and genetic medicine modalities, including monoclonal antibodies, multispecifics, proteins, conjugates, AAV, LNPs, and siRNA.
The Principal Data Architect will shape the cloud-native data foundation that enables predictive and generative AI/ML solutions in discovery scientist workflows. This role owns the architecture, adoption, and continuous improvement of a scalable data platform that connects laboratory data across dozens of assays, supports machine learning development and deployment, and improves how scientific data is used across the organization.
The position reports to the Head of AI/ML in BGM and serves as a trusted advisor to senior leadership. This is a technical leadership role on the individual contributor track, with potential to expand into people management in the future. It requires close partnership with wet lab scientists, ML engineers, software engineers, data engineers, automation teams, and data governance partners. The role is central to building a robust, resilient, and scalable data foundation for BGM’s AI/ML strategy.
Responsibilities:
- Define and drive the architecture for a scalable, cloud-native data platform that supports AbbVie’s AI/ML strategy in BGM.
- Design data models and integration patterns that connect datasets generated across multiple lab groups and establish certified datasets for downstream scientific, operational, and machine learning use.
- Partner with wet lab scientists and automation engineers to maximize the value of data captured through lab automation workflows.
- Work with data scientists and deployment engineers to ensure data pipelines support both model development and production deployment.
- Advance FAIR data practices and data stewardship in alignment with BGM strategic priorities.
- Champion connected data, data-as-a-product, and cloud-first architecture principles across the organization.
- Partner with data infrastructure and governance experts to ensure data policies are implemented effectively.
- Align BGM data infrastructure initiatives with broader AbbVie efforts such as Convergence and ARCH.
- Communicate platform impact through user stories, metrics, and KPIs that show the value of the data platform to AbbVie’s therapeutic program pipeline.
Qualifications
- MS with 14+ years’ or PhD with 8+ years’ experience in machine learning, computer science, applied mathematics, data science, computational biology, or a closely related field.
- 6+ years of experience in data architecture after completion of graduate studies, with a track record of designing enterprise data platforms.
- Graduate degree in computer science, data science, computational biology, computational chemistry, computational biophysics, or a related field.
- Experience designing enterprise data platforms.
- Strong technical skills in data modeling, data integration, data storage solutions, data pipelines, and AI/ML integration.
- Production programming experience in SQL, Python, or Java.
- Experience building cloud data infrastructure on AWS, Azure, or GCP.
- Ability to work across wet lab and dry lab scientific workflows.
- Experience collaborating across functions and building stakeholder alignment.
- Strong communication and interpersonal skills.
- Ability to apply data governance principles in day-to-day decision-making.
- Experience in the pharmaceutical or biotechnology industry.
Preferred:
- Experience leading cross-functional technical teams across reporting lines and multiplying their impact through best practices.
- Experience working in large, cross-functional R&D environments.
Work Environment:
- Hybrid role based in Worcester, MA.
- On-site presence required 3 days per week. Relocation is available to those not currently living in MA.
- This is an individual contributor role.
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
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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-1B visa1 status is granted in one-year increments, unlike H-1B'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 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.
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