E-3 Visa Cloud Data Engineer Jobs
Cloud Data Engineer roles in pipeline architecture, lakehouse design, and real-time streaming qualify as E-3 specialty occupations when backed by a degree in computer science, information systems, or a related field. Australian citizens can secure E-3 visa sponsorship without entering a lottery, making U.S. roles in this field genuinely accessible year-round.
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Get Access To All JobsINTRODUCTION
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Lead SAP Business Data Cloud / SAP Datasphere to join our team in Plano, Texas (US-TX), United States (US).
We are looking for a Lead SAP Business Data Cloud/Datasphere SAC Analytics Architect/Developer to lead the design and delivery of enterprise-scale analytics solutions. This role requires deep expertise in semantic modeling, data architecture, and advanced analytics development across SAP’s cloud data ecosystem.
ROLE AND RESPONSIBILITIES
Key Responsibilities
SAP Business Data Cloud / SAP Datasphere Leadership
- Architect and implement enterprise-grade semantic models, analytical datasets, and business data layers.
- Lead integration enterprise strategies between SAP Business Data Cloud, Datasphere and SAP S/4HANA, Ariba, SuccessFactors, HANA, BTP, and other cloud data sources (Snowflake or Databricks).
- Design data modeling frameworks, reusable objects, and governance standards.
- Drive performance optimization of data pipelines, transformations, and replication strategies.
- Ensure data quality, lineage, metadata standards, and security policies.
- Act as a subject matter expert for Business Data Fabric and Data Mesh design.
SAP Analytics Cloud (SAC) Expertise
- Develop complex SAC dashboards, analytic applications, and KPI-rich visualizations.
- Build scalable SAC models aligned with Datasphere semantics.
- Implement advanced scripting using Analytics Designer.
- Lead design standards, UX frameworks, and enterprise KPI definitions.
- Manage SAC lifecycles within BDC and standalone tenants including transport, versioning, and security.
Strategic Collaboration
- Translate business needs into enterprise data products.
- Mentor junior developers and analysts.
- Partner with architects and data teams to deliver end-to-end solutions.
- Influence roadmap development for Datasphere, SAC, and analytics modernization.
Operational Excellence
- Lead troubleshooting across modeling layers and optimize performance.
- Produce documentation, modeling standards, and reusable templates.
- Participate in governance and architecture forums.
BASIC QUALIFICATIONS
- 10+ years in SAP Analytics with deep SAC and SAP data modeling expertise.
- 5+ years hands-on with SAP Datasphere.
- Experience with BW/HANA modeling and Layered Scalable Architecture++ (LSA++) design.
- Mastery of semantic modeling, datasets, Spaces, analytical models, and data flows.
- Good technical understanding of Virtual Data Model (VDM) and CDS (Core Data Services) Views.
- Experience integrating with S/4HANA, Integrated Business Planning, Ariba, SuccessFactors, HANA, Datasphere, and SAP BTP.
- Proven ability to lead architecture discussions and mentor teams.
PREFERRED QUALIFICATIONS
- Experience with SAP BTP services.
- Exposure to SAP Business Data Cloud and Data Product concepts.
- SAC Planning expertise.
- Certifications in SAC, Datasphere, HANA, or BW.
- Technical fluency in ABAP, SQL, Python, and modern modeling frameworks.
SOFT SKILLS
- Strong leadership and communication skills.
- Executive-level presentation capabilities.
- Highly collaborative, proactive, and strategic.
- Strong ownership mindset.
MIn/Required Qualification
- 10+ years in SAP Analytics with deep SAC and SAP data modeling expertise.
- 5+ years hands-on with SAP Datasphere.
LI-NorthAmerica
ABOUT NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
INTRODUCTION
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Lead SAP Business Data Cloud / SAP Datasphere to join our team in Plano, Texas (US-TX), United States (US).
We are looking for a Lead SAP Business Data Cloud/Datasphere SAC Analytics Architect/Developer to lead the design and delivery of enterprise-scale analytics solutions. This role requires deep expertise in semantic modeling, data architecture, and advanced analytics development across SAP’s cloud data ecosystem.
ROLE AND RESPONSIBILITIES
Key Responsibilities
SAP Business Data Cloud / SAP Datasphere Leadership
- Architect and implement enterprise-grade semantic models, analytical datasets, and business data layers.
- Lead integration enterprise strategies between SAP Business Data Cloud, Datasphere and SAP S/4HANA, Ariba, SuccessFactors, HANA, BTP, and other cloud data sources (Snowflake or Databricks).
- Design data modeling frameworks, reusable objects, and governance standards.
- Drive performance optimization of data pipelines, transformations, and replication strategies.
- Ensure data quality, lineage, metadata standards, and security policies.
- Act as a subject matter expert for Business Data Fabric and Data Mesh design.
SAP Analytics Cloud (SAC) Expertise
- Develop complex SAC dashboards, analytic applications, and KPI-rich visualizations.
- Build scalable SAC models aligned with Datasphere semantics.
- Implement advanced scripting using Analytics Designer.
- Lead design standards, UX frameworks, and enterprise KPI definitions.
- Manage SAC lifecycles within BDC and standalone tenants including transport, versioning, and security.
Strategic Collaboration
- Translate business needs into enterprise data products.
- Mentor junior developers and analysts.
- Partner with architects and data teams to deliver end-to-end solutions.
- Influence roadmap development for Datasphere, SAC, and analytics modernization.
Operational Excellence
- Lead troubleshooting across modeling layers and optimize performance.
- Produce documentation, modeling standards, and reusable templates.
- Participate in governance and architecture forums.
BASIC QUALIFICATIONS
- 10+ years in SAP Analytics with deep SAC and SAP data modeling expertise.
- 5+ years hands-on with SAP Datasphere.
- Experience with BW/HANA modeling and Layered Scalable Architecture++ (LSA++) design.
- Mastery of semantic modeling, datasets, Spaces, analytical models, and data flows.
- Good technical understanding of Virtual Data Model (VDM) and CDS (Core Data Services) Views.
- Experience integrating with S/4HANA, Integrated Business Planning, Ariba, SuccessFactors, HANA, Datasphere, and SAP BTP.
- Proven ability to lead architecture discussions and mentor teams.
PREFERRED QUALIFICATIONS
- Experience with SAP BTP services.
- Exposure to SAP Business Data Cloud and Data Product concepts.
- SAC Planning expertise.
- Certifications in SAC, Datasphere, HANA, or BW.
- Technical fluency in ABAP, SQL, Python, and modern modeling frameworks.
SOFT SKILLS
- Strong leadership and communication skills.
- Executive-level presentation capabilities.
- Highly collaborative, proactive, and strategic.
- Strong ownership mindset.
MIn/Required Qualification
- 10+ years in SAP Analytics with deep SAC and SAP data modeling expertise.
- 5+ years hands-on with SAP Datasphere.
LI-NorthAmerica
ABOUT NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
See all 60+ E-3 Visa Cloud Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Cloud Data Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Cloud Data Engineer
Align your degree to the role description
DOL requires your LCA job duties to match a specialty occupation. If your degree is in a adjacent field like mathematics or electrical engineering, document coursework in data systems, distributed computing, or cloud architecture to strengthen the specialty occupation argument.
Target employers with active cloud infrastructure teams
Focus on companies running multi-cloud or hybrid environments at scale. Teams already managing Databricks, Snowflake, or AWS Glue pipelines are hiring for defined technical roles, which makes the specialty occupation case cleaner and speeds up internal sponsorship approval.
Get your LCA certified before your consulate appointment
The LCA must be DOL-certified before you can schedule your visa interview. Employers sometimes underestimate this lead time. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so the sequencing stays on track.
Search for E-3 sponsorship on Migrate Mate
Generic job boards don't filter by E-3 visa sponsorship history. Migrate Mate lets you search Cloud Data Engineer roles specifically matched to employers who sponsor E-3 visas, saving you from chasing roles at companies that won't move forward.
Verify your employer's E-Verify enrollment before accepting
E-3 employers aren't federally required to use E-Verify unless they're a federal contractor, but USCIS will ask about employment authorization. Confirming enrollment before your start date avoids onboarding delays if your employer's HR team is unfamiliar with the E-3 process.
E-3 Visa Cloud Data Engineer: Frequently Asked Questions
How do I find Cloud Data Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. You can filter Cloud Data Engineer roles by E-3 visa sponsorship, which standard job boards don't support. This removes the guesswork of contacting employers who don't sponsor, so you spend time on roles where sponsorship is already confirmed.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Cloud Data Engineer role qualify as an E-3 specialty occupation?
Yes, in most cases. Cloud Data Engineer roles that require designing data pipelines, managing distributed systems, or architecting cloud-native solutions typically satisfy the specialty occupation standard because they require at minimum a bachelor's degree in computer science, information systems, or a closely related field. Roles where any general degree qualifies can be harder to support, so the job description and your degree field both matter.
How does the E-3 compare to the H-1B for Cloud Data Engineer roles?
The E-3 has no annual cap and no lottery, so you can apply at any point in the year once you have a job offer and a certified LCA. The H-1B has an 85,000-slot annual cap with a randomised lottery, meaning most applicants wait years for selection. For Australian Cloud Data Engineers, the E-3 is the direct path that bypasses that uncertainty entirely.
Can I change employers while on an E-3 as a Cloud Data Engineer?
Yes, but each employer change requires a fresh LCA and a new visa stamp if you travel outside the U.S. Your new employer files a new LCA with DOL before you start, and you'll need to present the certified LCA along with your new employment letter. There's no formal transfer process like the H-1B portability rule, so timing your transition carefully matters.