H-1B1 Singapore Visa Data Engineering Manager Jobs
Data Engineering Manager jobs with H-1B1 Singapore visa sponsorship are open to Singaporean nationals without a lottery draw. The annual cap of 5,400 sits well below demand, and your application goes directly to the U.S. consulate in Singapore, where approvals typically clear in days rather than months.
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Get Access To All JobsINTRODUCTION
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Addison, TX, USA; Miami, FL, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA.
ABOUT THE JOB
As a Customer Engineering (CE) Manager, you lead and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical blockers. You will foster a culture of technical ownership and understand the mechanics of architecture, delivery, and consumption across the Google Cloud portfolio. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $267000 (USD) + 42.86% bonus target + equity + benefits
ROLE AND RESPONSIBILITIES
- Lead a team of Data Analytics technical experts in a matrixed organization. Focus on talent strategy, assessing go-to-market readiness and gaps in CE preparedness, skills development.
- Lead the broader region's Data Analytics technical community, to ensure sub-regional technical contributions, achieve scale through artifact and innovation sharing.
- Influence cross-functional teams, including Product Management and Engineering, ensuring customer needs are represented in product roadmaps and new technology is incubated and scaled.
- Lead the team to work with Google Cloud Platform to demonstrate and prototype our Agentic Data Cloud and AI products or integrations in customer/partner environments.
- Lead and own high impact customer C-level or ITDM relationships who make or influence Data and AI enterprise technology decisions.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Experience in pre-sales or field engineering at an enterprise technology company, or similar customer-facing experience.
- Ability to travel up to 25% to customer sites.
PREFERRED QUALIFICATIONS
- Technical sales experience or professional consulting experience in the fields of cloud computing, data analytics, information lifecycle management, and Big Data.
- People management experience leading technical sales or consulting teams for Cloud Computing or Data Analytics products and platforms.
- Experience influencing cross-functional teams (e.g., Product Management, Engineering, Sales), customers, and partners to impact business goals, customer experience, and customer expansion.
- Thought leader in Data Analytics and adjacent practice areas, specialized in technical sales and strategies around holistic customer and industry solutions.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.
If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Addison, TX, USA; Miami, FL, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA.
ABOUT THE JOB
As a Customer Engineering (CE) Manager, you lead and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical blockers. You will foster a culture of technical ownership and understand the mechanics of architecture, delivery, and consumption across the Google Cloud portfolio. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $267000 (USD) + 42.86% bonus target + equity + benefits
ROLE AND RESPONSIBILITIES
- Lead a team of Data Analytics technical experts in a matrixed organization. Focus on talent strategy, assessing go-to-market readiness and gaps in CE preparedness, skills development.
- Lead the broader region's Data Analytics technical community, to ensure sub-regional technical contributions, achieve scale through artifact and innovation sharing.
- Influence cross-functional teams, including Product Management and Engineering, ensuring customer needs are represented in product roadmaps and new technology is incubated and scaled.
- Lead the team to work with Google Cloud Platform to demonstrate and prototype our Agentic Data Cloud and AI products or integrations in customer/partner environments.
- Lead and own high impact customer C-level or ITDM relationships who make or influence Data and AI enterprise technology decisions.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Experience in pre-sales or field engineering at an enterprise technology company, or similar customer-facing experience.
- Ability to travel up to 25% to customer sites.
PREFERRED QUALIFICATIONS
- Technical sales experience or professional consulting experience in the fields of cloud computing, data analytics, information lifecycle management, and Big Data.
- People management experience leading technical sales or consulting teams for Cloud Computing or Data Analytics products and platforms.
- Experience influencing cross-functional teams (e.g., Product Management, Engineering, Sales), customers, and partners to impact business goals, customer experience, and customer expansion.
- Thought leader in Data Analytics and adjacent practice areas, specialized in technical sales and strategies around holistic customer and industry solutions.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.
If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
See all 94+ H-1B1 Singapore Visa Data Engineering Manager Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Data Engineering Manager
Frame your credentials for U.S. specialty occupation standards
Your Singapore degree and data engineering certifications must map to a role requiring at least a bachelor's in a directly related field. Pull the O*NET profile for Computer and Information Systems Managers to confirm the field-of-study alignment before your employer files.
Target employers with active H-1B1 LCA filing history
Search Migrate Mate to filter Data Engineering Manager roles by verified H-1B1 visa sponsorship history. Employers who've filed Labor Condition Applications for this occupation already understand the process and won't hesitate at the consulate step.
Negotiate who absorbs the LCA prevailing-wage requirement
Your offer must meet DOL prevailing wage for your location and job zone. Use the OFLC Wage Search to look up the Level III or IV wage for your target metro before entering salary negotiations, so you know the floor your employer must clear.
Clarify your employer's E-Verify enrollment before accepting an offer
H-1B1 visa employers aren't automatically required to use E-Verify unless they're federal contractors or operate in a mandatory state. Confirming enrollment early prevents I-9 complications when you start, especially if you're transitioning from an existing U.S. visa status.
Time your consulate appointment around your current status expiry
H-1B1 visa is processed at the U.S. Embassy in Singapore, not through USCIS. If you're already in the U.S. on another visa, plan your travel window carefully, as you'll need to attend the interview in person and your current status must remain valid through departure.
Prepare for annual renewal cycles specific to H-1B1
Unlike H-1B visa, H-1B1 visa is approved in one-year increments with no multi-year extension option. Your employer's HR team needs to initiate the LCA renewal process at least 90 days before your status expires to avoid a gap in your work authorization.
Frequently Asked Questions
Does a Data Engineering Manager role qualify as a specialty occupation for H-1B1 purposes?
Yes, Data Engineering Manager roles typically qualify. USCIS requires the position to demand a bachelor's degree or higher in a directly related field such as computer science, data engineering, or information systems. Because the role combines technical data architecture decisions with team leadership, the specialized degree requirement is straightforward to document, making it a cleaner petition than generalist management titles.
How does the H-1B1 Singapore visa compare to H-1B for Data Engineering Manager jobs?
The H-1B1 visa skips the lottery entirely, so a Singaporean national with a qualifying job offer can apply directly at the consulate rather than waiting for a random selection result. The trade-off is that H-1B1 is approved in one-year increments rather than three, so your employer's HR team needs to plan annual renewals. For a Data Engineering Manager role, the specialty occupation threshold is the same under both visas.
How do I find Data Engineering Manager jobs where the employer already understands H-1B1 Singapore sponsorship?
Use Migrate Mate to search for Data Engineering Manager roles filtered by verified H-1B1 visa sponsorship history. Employers who've previously filed Labor Condition Applications for this visa type already have HR and legal processes in place, which shortens the offer-to-approval timeline significantly and reduces the chance of the employer backing out during the consulate filing stage.
What prevailing wage level applies to Data Engineering Manager positions under H-1B1?
Data Engineering Manager roles typically fall at DOL wage Level III or Level IV, depending on supervisory scope and years of experience. Use the OFLC Wage Search and input the relevant occupation code for your target city before negotiating your offer. Your employer's LCA must certify a salary at or above the prevailing wage for your specific location, and the consulate will verify this during adjudication.
Can I change employers while on H-1B1 status if I'm already working as a Data Engineering Manager in the U.S.?
H-1B1 visa doesn't have the portability provisions that H-1B carries under AC21, so you can't start work with a new employer the moment they file. Your new employer must have a certified LCA and you'll generally need to attend a consulate interview in Singapore before beginning the new role. Planning your transition timeline around this requirement is essential to avoid an unauthorized work gap.