E-3 Visa Enterprise Data Architect Jobs
Enterprise Data Architect roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree or higher in computer science, information systems, or a related field. Australian professionals can secure employer sponsorship without entering a lottery, and two-year E-3 status is renewable indefinitely while you remain employed in a qualifying role.
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Get Access To All JobsJob Req Id:
26953076
Location(s):
Jersey City, New Jersey, United States
Job Type:
Hybrid
Posted:
Apr. 21, 2026
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
This position leads the enterprise data architecture strategy and execution across CRM and customer data domains, data science (including LLM-enabled solutions), and modern data platforms. The SVP will partner with business and technology leaders to define the target-state architecture, establish governance and standards, and deliver scalable, secure, and high-quality data products. The role includes direct leadership of a team of 10–15 engineers/developers and accountability for building a culture of engineering excellence and continuous delivery.
Key Responsibilities
- Enterprise Data Architecture Leadership: Own and evolve the enterprise data architecture vision, reference architecture, and roadmap (current-state assessment, target-state design, transition plans).
- CRM & Customer Data: Design and govern scalable CRM data models and integration patterns; enable a unified customer view across channels and downstream consumers.
- Data Science & AI (LLM): Partner with data science teams to operationalize ML/LLM use cases; define patterns for feature/data access, prompt/response data management, evaluation, and model risk controls.
- Data Engineering & Integration: Guide design and implementation of robust ingestion and streaming pipelines using Python scripting and modern integration patterns (batch/near-real-time), including data loading and orchestration standards.
- Search & Event Streaming Platforms: Provide technical direction for Elasticsearch-based search/observability use cases and Kafka-based streaming/event-driven architectures.
- Analytics & BI Enablement: Establish trusted data layers, semantic models, and governed datasets to support analytics tools and business intelligence reporting.
- Governance, Quality & Security: Define and enforce standards for data quality, lineage, metadata, retention, privacy, and access controls in partnership with security, risk, and compliance.
- Technology Strategy & Stakeholder Management: Translate business strategy into technology outcomes; influence across executive stakeholders; communicate tradeoffs, investment needs, and delivery plans.
- People Leadership: Lead, coach, and develop a team of 10–15 developers/engineers; set clear goals, foster accountability, and build a high-performing, inclusive culture.
- Delivery Excellence: Drive agile execution, engineering best practices (CI/CD, testing, observability), and operational readiness; ensure predictable delivery with measurable outcomes.
Required Qualifications
- 15+ years of progressive experience in technology, data architecture (SQL), and data engineering, including leadership at the enterprise/platform level.
- Proven experience defining and implementing enterprise data architecture, including conceptual/logical/physical modeling and integration patterns.
- Hands-on understanding of CRM data domains and architectures (e.g., customer 360, master/reference data, identity/resolution, consent/preferences).
- Strong background in data science enablement, including productionizing ML and LLM-related solutions (data pipelines, evaluation, governance, monitoring).
- Proficiency with Python for data ingestion/loading, automation, and scripting in data engineering contexts.
- Experience with Kafka (or equivalent event streaming) and event-driven integration patterns.
- Experience with Elasticsearch (or equivalent search/analytics engine) for search, indexing, and high-volume query use cases.
- Experience enabling analytics and BI reporting ecosystems, including semantic layers, metric definitions, and governed self-service data access.
- Demonstrated people-management experience leading teams of 10+ engineers/developers, including hiring, performance management, and talent development.
- Strong executive communication skills with an ability to influence cross-functional leaders and drive alignment on architecture decisions.
Preferred Qualifications
- Experience modernizing legacy data ecosystems toward cloud-based or hybrid architectures and operating models.
- Familiarity with data governance frameworks and tooling for catalog/metadata, lineage, and data quality management.
- Experience with MLOps/LLMOps practices (model/prompt versioning, experimentation tracking, automated evaluation, observability).
- Experience in regulated environments and implementing privacy-by-design, auditability, and information security controls.
- Exposure to enterprise integration patterns (API-first, CDC, streaming, ETL/ELT) and orchestration/automation practices.
Leadership Competencies
- Strategic mindset: Balances long-term architecture direction with pragmatic delivery.
- Operational excellence: Establishes repeatable processes, metrics, and controls to run reliable platforms.
- Talent builder: Recruits, mentors, and retains top engineering talent; creates growth paths and accountability.
- Influence and collaboration: Aligns business, product, security, and engineering stakeholders around shared outcomes.
- Customer and value orientation: Measures success through adoption, data quality, time-to-insight, and business impact.
Education:
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Jersey City New Jersey United States
Primary Location Full Time Salary Range:
$176,720.00 - $265,080.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Apr 28, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Job Req Id:
26953076
Location(s):
Jersey City, New Jersey, United States
Job Type:
Hybrid
Posted:
Apr. 21, 2026
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
This position leads the enterprise data architecture strategy and execution across CRM and customer data domains, data science (including LLM-enabled solutions), and modern data platforms. The SVP will partner with business and technology leaders to define the target-state architecture, establish governance and standards, and deliver scalable, secure, and high-quality data products. The role includes direct leadership of a team of 10–15 engineers/developers and accountability for building a culture of engineering excellence and continuous delivery.
Key Responsibilities
- Enterprise Data Architecture Leadership: Own and evolve the enterprise data architecture vision, reference architecture, and roadmap (current-state assessment, target-state design, transition plans).
- CRM & Customer Data: Design and govern scalable CRM data models and integration patterns; enable a unified customer view across channels and downstream consumers.
- Data Science & AI (LLM): Partner with data science teams to operationalize ML/LLM use cases; define patterns for feature/data access, prompt/response data management, evaluation, and model risk controls.
- Data Engineering & Integration: Guide design and implementation of robust ingestion and streaming pipelines using Python scripting and modern integration patterns (batch/near-real-time), including data loading and orchestration standards.
- Search & Event Streaming Platforms: Provide technical direction for Elasticsearch-based search/observability use cases and Kafka-based streaming/event-driven architectures.
- Analytics & BI Enablement: Establish trusted data layers, semantic models, and governed datasets to support analytics tools and business intelligence reporting.
- Governance, Quality & Security: Define and enforce standards for data quality, lineage, metadata, retention, privacy, and access controls in partnership with security, risk, and compliance.
- Technology Strategy & Stakeholder Management: Translate business strategy into technology outcomes; influence across executive stakeholders; communicate tradeoffs, investment needs, and delivery plans.
- People Leadership: Lead, coach, and develop a team of 10–15 developers/engineers; set clear goals, foster accountability, and build a high-performing, inclusive culture.
- Delivery Excellence: Drive agile execution, engineering best practices (CI/CD, testing, observability), and operational readiness; ensure predictable delivery with measurable outcomes.
Required Qualifications
- 15+ years of progressive experience in technology, data architecture (SQL), and data engineering, including leadership at the enterprise/platform level.
- Proven experience defining and implementing enterprise data architecture, including conceptual/logical/physical modeling and integration patterns.
- Hands-on understanding of CRM data domains and architectures (e.g., customer 360, master/reference data, identity/resolution, consent/preferences).
- Strong background in data science enablement, including productionizing ML and LLM-related solutions (data pipelines, evaluation, governance, monitoring).
- Proficiency with Python for data ingestion/loading, automation, and scripting in data engineering contexts.
- Experience with Kafka (or equivalent event streaming) and event-driven integration patterns.
- Experience with Elasticsearch (or equivalent search/analytics engine) for search, indexing, and high-volume query use cases.
- Experience enabling analytics and BI reporting ecosystems, including semantic layers, metric definitions, and governed self-service data access.
- Demonstrated people-management experience leading teams of 10+ engineers/developers, including hiring, performance management, and talent development.
- Strong executive communication skills with an ability to influence cross-functional leaders and drive alignment on architecture decisions.
Preferred Qualifications
- Experience modernizing legacy data ecosystems toward cloud-based or hybrid architectures and operating models.
- Familiarity with data governance frameworks and tooling for catalog/metadata, lineage, and data quality management.
- Experience with MLOps/LLMOps practices (model/prompt versioning, experimentation tracking, automated evaluation, observability).
- Experience in regulated environments and implementing privacy-by-design, auditability, and information security controls.
- Exposure to enterprise integration patterns (API-first, CDC, streaming, ETL/ELT) and orchestration/automation practices.
Leadership Competencies
- Strategic mindset: Balances long-term architecture direction with pragmatic delivery.
- Operational excellence: Establishes repeatable processes, metrics, and controls to run reliable platforms.
- Talent builder: Recruits, mentors, and retains top engineering talent; creates growth paths and accountability.
- Influence and collaboration: Aligns business, product, security, and engineering stakeholders around shared outcomes.
- Customer and value orientation: Measures success through adoption, data quality, time-to-insight, and business impact.
Education:
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Jersey City New Jersey United States
Primary Location Full Time Salary Range:
$176,720.00 - $265,080.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Apr 28, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
See all 20+ Enterprise Data Architect jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Enterprise Data Architect roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an Enterprise Data Architect
Align your credentials to U.S. specialty occupation standards
U.S. employers filing an E-3 LCA must demonstrate the role requires a specific degree. Frame your Australian bachelor's degree and architecture certifications against the SOC 15-1243 job zone to preempt any USCIS specialty occupation challenge.
Target employers with active LCA filing histories
Search DOL's Office of Foreign Labor Certification disclosure data for companies that have filed LCAs for data architect or data engineer titles. These employers already understand the E-3 process and won't need to be educated on sponsorship mechanics.
Clarify consulting arrangements before your LCA is filed
Enterprise Data Architects frequently work across multiple business units or client sites. If your role involves third-party placements, your employer must still be your true employer of record on the LCA, or your petition faces a heightened scrutiny risk.
Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork
Once you have a signed offer, Migrate Mate's E-3 filing service manages prevailing wage compliance, LCA certification with the DOL, and consulate preparation so you and your employer aren't navigating the paperwork without specialist support.
Request a specific job title on your offer letter
Vague titles like 'Senior Technologist' create friction at the consulate interview. Ensure your offer letter and LCA use a title that maps directly to data architecture duties so the consular officer can verify specialty occupation status without ambiguity.
Confirm E-Verify enrollment before your start date
Your employer must be E-Verify enrolled to satisfy DOL LCA compliance obligations. If they're not already enrolled, the enrollment process takes several business days, and starting work before your I-9 is verified through E-Verify can create compliance problems for both parties.
Enterprise Data Architect jobs are hiring across the US. Find yours.
Find Enterprise Data Architect JobsEnterprise Data Architect E-3 Visa: Frequently Asked Questions
How do I find Enterprise Data Architect jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3 sponsor-ready roles. Rather than filtering thousands of generic listings, you can search Enterprise Data Architect positions where employers have demonstrated sponsorship willingness. From there, Migrate Mate can also handle the end-to-end E-3 filing once you have an offer.
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 an Enterprise Data Architect role qualify as a specialty occupation for E-3 purposes?
Yes. Enterprise Data Architect roles require at least a bachelor's degree in computer science, information systems, or a closely related field, which satisfies USCIS's specialty occupation definition. Roles that involve designing enterprise-wide data models, governance frameworks, or cloud data infrastructure consistently meet this threshold. Problems arise when a job description is written broadly enough that any technical degree would qualify, so your offer letter should specify degree requirements clearly.
How does the E-3 visa compare to the H-1B for Enterprise Data Architect roles?
For Australian nationals, the E-3 is substantially more accessible than the H-1B. The H-1B is subject to an annual cap of 85,000 slots and a competitive lottery, meaning qualified candidates are often excluded by chance alone. The E-3 has a 10,500 annual allocation that has never been exhausted, so there's no lottery and no waiting period. Both visas require LCA certification and specialty occupation approval, so the documentation burden is similar, but the E-3 removes the randomness entirely.
Can I change employers while on an E-3 as an Enterprise Data Architect?
Yes, but you can't simply transfer your existing E-3 to a new employer the way an H-1B portability rule allows. Your new employer must file a fresh LCA with the DOL and you'll need to attend a new consulate interview or file a change of status if you're already inside the U.S. There's no grace period built into the E-3 itself, so timing the transition carefully around your current status expiry matters.
See which Enterprise Data Architect employers are hiring and sponsoring visas right now.
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