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 JobsPosition Overview
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As a Data Platform Engineering Lead - Managed Services, you will have the ability to share new ideas and collaborate on high-impact projects supporting mission-critical financial services initiatives - without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. The Project Talent Model (PTM) is a talent model tailored specifically for long-term, onsite client service delivery.
Recruiting for this role ends on 12/14/2026.
Work Location: Remote - US Based
Work You'll Do / Responsibilities
As an Engineering Delivery Manager, you'll lead the day-to-day operation and continuous improvement of a client's data platform services. You'll guide engineering and operations teams to maintain platform health, deliver reliable service, and manage operational risk in partnership with cloud, security, architecture, and client stakeholders.
- Lead operational administration and service health for Snowflake, Matillion Data Productivity Cloud, and on-premises ETL environments.
- Govern incident, problem, change, and knowledge management; monitor SLA performance and drive timely root-cause analysis and remediation.
- Coordinate production releases, CI/CD orchestration, environment provisioning, disaster recovery planning, and operational readiness.
- Oversee approved platform enhancements from estimation and design through testing and implementation.
- Lead engineering teams and service partners; manage priorities, capacity, escalations, and stakeholder communications.
- Facilitate change advisory reviews and support operational audits, reporting, and governance requirements.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
The Team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated and verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology and data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models - traditional teams, pools, or pods - are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Qualifications
Required
- 10+ years of experience in data platform engineering, cloud operations, or technology service delivery.
- 5+ years of experience leading engineering or platform operations teams in a production or managed-services environment.
- 4+ years of experience administering or supporting Snowflake and enterprise data platforms.
- 3+ years of experience with Matillion DPC or comparable ETL/data integration platforms, including on-premises environments.
- 5+ years of experience managing ITSM processes, including incident, problem, change, SLA, and service reporting; ITIL-aligned experience preferred.
- 3+ years of experience overseeing production releases, CI/CD, environment operations, or disaster recovery across AWS and/or Azure.
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline, and/or equivalent professional experience.
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be able to work in a Hybrid model - minimum of 3 days onsite at the client location in Dallas, TX.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116800 to $208300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Position Overview
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As a Data Platform Engineering Lead - Managed Services, you will have the ability to share new ideas and collaborate on high-impact projects supporting mission-critical financial services initiatives - without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. The Project Talent Model (PTM) is a talent model tailored specifically for long-term, onsite client service delivery.
Recruiting for this role ends on 12/14/2026.
Work Location: Remote - US Based
Work You'll Do / Responsibilities
As an Engineering Delivery Manager, you'll lead the day-to-day operation and continuous improvement of a client's data platform services. You'll guide engineering and operations teams to maintain platform health, deliver reliable service, and manage operational risk in partnership with cloud, security, architecture, and client stakeholders.
- Lead operational administration and service health for Snowflake, Matillion Data Productivity Cloud, and on-premises ETL environments.
- Govern incident, problem, change, and knowledge management; monitor SLA performance and drive timely root-cause analysis and remediation.
- Coordinate production releases, CI/CD orchestration, environment provisioning, disaster recovery planning, and operational readiness.
- Oversee approved platform enhancements from estimation and design through testing and implementation.
- Lead engineering teams and service partners; manage priorities, capacity, escalations, and stakeholder communications.
- Facilitate change advisory reviews and support operational audits, reporting, and governance requirements.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
The Team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated and verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology and data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models - traditional teams, pools, or pods - are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Qualifications
Required
- 10+ years of experience in data platform engineering, cloud operations, or technology service delivery.
- 5+ years of experience leading engineering or platform operations teams in a production or managed-services environment.
- 4+ years of experience administering or supporting Snowflake and enterprise data platforms.
- 3+ years of experience with Matillion DPC or comparable ETL/data integration platforms, including on-premises environments.
- 5+ years of experience managing ITSM processes, including incident, problem, change, SLA, and service reporting; ITIL-aligned experience preferred.
- 3+ years of experience overseeing production releases, CI/CD, environment operations, or disaster recovery across AWS and/or Azure.
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline, and/or equivalent professional experience.
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be able to work in a Hybrid model - minimum of 3 days onsite at the client location in Dallas, TX.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116800 to $208300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
See all 45+ H-1B1 Singapore Visa Data Engineering Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Data Engineering Manager Jobs.
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.