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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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
The Data Domain Architect, Operations and Finance is responsible for defining and driving the data and AI architecture strategy that enables business outcomes across AbbVie Operations and Finance. This role serves as a trusted advisor to business and technology leaders, translating business strategy into actionable architecture roadmaps, reusable data product patterns, and AI-ready capabilities.
This position requires deep experience in enterprise architecture, cloud data platforms, analytics, AI/ML enablement, and business process understanding. The role will provide strategic direction across AWS, SAP BDC, Agentic AI, AI SageMaker Studio, Dataiku, and associated data and integration technologies. The architect will also direct and guide data and AI engineers on architectural principles, future-state vision, and delivery roadmaps.
Key Responsibilities
- Define and communicate the architecture vision and strategy for the Operations and Finance data domain.
- Develop and maintain multi-year roadmaps aligned to business strategy, transformation priorities, and enterprise capabilities.
- Establish target-state architecture, architecture principles, and reusable patterns for data, analytics, and AI solutions.
- Lead evaluation and selection of technologies and platforms, including AWS, SAP BDC, Dataiku, SageMaker Studio, and Agentic AI capabilities.
- Partner with senior business and technology leaders to identify opportunities, assess business needs, and shape scalable solutions.
- Serve as an advisor to senior leadership on data, AI, and technology investments that drive business value.
- Incorporate external innovation and emerging technologies into the domain strategy where relevant.
- Ensure solutions align with enterprise standards, security, governance, compliance, and architectural guardrails.
- Direct and guide data and AI engineers on the vision, roadmap, standards, and architectural principles needed to execute effectively.
- Own the reusable Data Product and AI Product Factory and enable the creation of AI-ready data products that can be scaled across the enterprise.
Qualifications
Required:
- Bachelor’s degree with 10 years of experience; Master’s degree with 9 years of experience; or PhD with 5 years of experience.
- Strong experience in complex enterprise environments, preferably in pharmaceutical, healthcare, manufacturing, finance, or operations.
- Proven experience with AWS-based data architectures and modern cloud data platform patterns.
- Experience with SAP BDC or related SAP data and integration technologies.
- Experience with AI/ML platforms such as Amazon SageMaker Studio, Dataiku, and Agentic AI solutions.
- Demonstrated ability to define roadmaps, influence strategy, and lead architecture governance.
- Strong business acumen, including understanding of operational and financial processes.
- Proven ability to communicate effectively with senior and executive leadership.
- Ability to collaborate across business, technology, and external innovation partners.
Preferred:
- 10 years of experience in data architecture, enterprise architecture, analytics, or related technology leadership roles.
- Experience leading large-scale transformation initiatives across Operations and Finance.
- Strong understanding of enterprise architecture principles and their application in future-state design.
- Experience building reusable data products, AI products, and product factory operating models.
- Experience in regulated industries with strong awareness of security, compliance, and quality requirements.
- Ability to work in matrixed organizations and influence without direct authority.
Leadership Expectations
This role is expected to act as a strategic thought leader and trusted advisor, helping shape the long-term direction of data and AI capabilities across Operations and Finance. The Data Domain Architect should proactively identify opportunities, challenge assumptions, promote reuse, and enable scalable delivery through strong architectural leadership.
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
The Data Domain Architect, Operations and Finance is responsible for defining and driving the data and AI architecture strategy that enables business outcomes across AbbVie Operations and Finance. This role serves as a trusted advisor to business and technology leaders, translating business strategy into actionable architecture roadmaps, reusable data product patterns, and AI-ready capabilities.
This position requires deep experience in enterprise architecture, cloud data platforms, analytics, AI/ML enablement, and business process understanding. The role will provide strategic direction across AWS, SAP BDC, Agentic AI, AI SageMaker Studio, Dataiku, and associated data and integration technologies. The architect will also direct and guide data and AI engineers on architectural principles, future-state vision, and delivery roadmaps.
Key Responsibilities
- Define and communicate the architecture vision and strategy for the Operations and Finance data domain.
- Develop and maintain multi-year roadmaps aligned to business strategy, transformation priorities, and enterprise capabilities.
- Establish target-state architecture, architecture principles, and reusable patterns for data, analytics, and AI solutions.
- Lead evaluation and selection of technologies and platforms, including AWS, SAP BDC, Dataiku, SageMaker Studio, and Agentic AI capabilities.
- Partner with senior business and technology leaders to identify opportunities, assess business needs, and shape scalable solutions.
- Serve as an advisor to senior leadership on data, AI, and technology investments that drive business value.
- Incorporate external innovation and emerging technologies into the domain strategy where relevant.
- Ensure solutions align with enterprise standards, security, governance, compliance, and architectural guardrails.
- Direct and guide data and AI engineers on the vision, roadmap, standards, and architectural principles needed to execute effectively.
- Own the reusable Data Product and AI Product Factory and enable the creation of AI-ready data products that can be scaled across the enterprise.
Qualifications
Required:
- Bachelor’s degree with 10 years of experience; Master’s degree with 9 years of experience; or PhD with 5 years of experience.
- Strong experience in complex enterprise environments, preferably in pharmaceutical, healthcare, manufacturing, finance, or operations.
- Proven experience with AWS-based data architectures and modern cloud data platform patterns.
- Experience with SAP BDC or related SAP data and integration technologies.
- Experience with AI/ML platforms such as Amazon SageMaker Studio, Dataiku, and Agentic AI solutions.
- Demonstrated ability to define roadmaps, influence strategy, and lead architecture governance.
- Strong business acumen, including understanding of operational and financial processes.
- Proven ability to communicate effectively with senior and executive leadership.
- Ability to collaborate across business, technology, and external innovation partners.
Preferred:
- 10 years of experience in data architecture, enterprise architecture, analytics, or related technology leadership roles.
- Experience leading large-scale transformation initiatives across Operations and Finance.
- Strong understanding of enterprise architecture principles and their application in future-state design.
- Experience building reusable data products, AI products, and product factory operating models.
- Experience in regulated industries with strong awareness of security, compliance, and quality requirements.
- Ability to work in matrixed organizations and influence without direct authority.
Leadership Expectations
This role is expected to act as a strategic thought leader and trusted advisor, helping shape the long-term direction of data and AI capabilities across Operations and Finance. The Data Domain Architect should proactively identify opportunities, challenge assumptions, promote reuse, and enable scalable delivery through strong architectural leadership.
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
See all E-3 Visa Enterprise Data Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Enterprise Data Architect Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Enterprise Data Architect
Align your credentials to U.S. specialty occupation standards
U.S. employers filing an E-3 visa 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.
E-3 Visa Enterprise Data Architect: 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 visa. 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.