E-3 Visa Technical Solutions Architect Jobs
Technical Solutions Architect roles qualify for E-3 visa sponsorship as specialty occupations requiring a relevant bachelor's degree, and unlike the H-1B visa, there's no lottery or annual cap to worry about. Australian professionals can secure two-year renewable status with a U.S. employer who files a Labor Condition Application before your consulate appointment.
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As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
We are seeking a highly technical, forward-thinking Enterprise Architect to join the Enterprise Product Strategy and Architecture (EPA) team with a dedicated focus on Data and AI Enablement. In this role, you will be responsible for defining, driving, and scaling enterprise-wide architectural standards, reference models, and patterns that empower Corporate Engineering to build innovative, secure, and data-driven capabilities.
You will be responsible for authoring the core reference architectures, blueprints, and design patterns required to modernize our data life-cycle and accelerate the deployment of safe, scalable AI solutions. This is an impact-driven role focused heavily on execution and enablement; you will work with technical leads and engineering squads across all Corporate Engineering pillars to advocate modern data architecture, unblock complex technical hurdles, and directly drive the active adoption of enterprise AI standards.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
LOCATION
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; New York, NY, USA; San Jose, CA, USA.
MINIMUM QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in technology, software engineering, or enterprise architecture, with an emphasis on data engineering or AI/ML systems.
- Experience designing and implementing data architecture frameworks, enterprise data warehouses/data lakes, or production-grade AI/ML pipelines.
- Experience in developing solution architectures through system design techniques (sample topics include distributed systems, designing a system under certain constraints, simplicity, limitations, robustness and tradeoffs).
PREFERRED QUALIFICATIONS
- Experience developing data and product strategies across a portfolio of internal systems within a complex, large-scale enterprise.
- Knowledge of modern data tooling, cloud-native data services, machine learning operations frameworks, and large language models (LLM) orchestration patterns.
- Excellent organizational, investigative and influencing skills.
Responsibilities
- Author Core Blueprints and Standardize AI Patterns.
- Drive Adoption and Cross-Pillar Enablement.
- Collaborate with Environmental Protection Agency Peers.
- Evaluate Industry Trends and Upskill Engineering Teams.
COMPENSATION
US: $183000 - $266000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
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
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
We are seeking a highly technical, forward-thinking Enterprise Architect to join the Enterprise Product Strategy and Architecture (EPA) team with a dedicated focus on Data and AI Enablement. In this role, you will be responsible for defining, driving, and scaling enterprise-wide architectural standards, reference models, and patterns that empower Corporate Engineering to build innovative, secure, and data-driven capabilities.
You will be responsible for authoring the core reference architectures, blueprints, and design patterns required to modernize our data life-cycle and accelerate the deployment of safe, scalable AI solutions. This is an impact-driven role focused heavily on execution and enablement; you will work with technical leads and engineering squads across all Corporate Engineering pillars to advocate modern data architecture, unblock complex technical hurdles, and directly drive the active adoption of enterprise AI standards.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
LOCATION
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; New York, NY, USA; San Jose, CA, USA.
MINIMUM QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in technology, software engineering, or enterprise architecture, with an emphasis on data engineering or AI/ML systems.
- Experience designing and implementing data architecture frameworks, enterprise data warehouses/data lakes, or production-grade AI/ML pipelines.
- Experience in developing solution architectures through system design techniques (sample topics include distributed systems, designing a system under certain constraints, simplicity, limitations, robustness and tradeoffs).
PREFERRED QUALIFICATIONS
- Experience developing data and product strategies across a portfolio of internal systems within a complex, large-scale enterprise.
- Knowledge of modern data tooling, cloud-native data services, machine learning operations frameworks, and large language models (LLM) orchestration patterns.
- Excellent organizational, investigative and influencing skills.
Responsibilities
- Author Core Blueprints and Standardize AI Patterns.
- Drive Adoption and Cross-Pillar Enablement.
- Collaborate with Environmental Protection Agency Peers.
- Evaluate Industry Trends and Upskill Engineering Teams.
COMPENSATION
US: $183000 - $266000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
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 1,513+ E-3 Visa Technical Solutions Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Technical Solutions Architect Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Technical Solutions Architect
Translate your credentials for U.S. evaluators
An Australian three-year bachelor's degree in computer science, engineering, or information systems satisfies E-3 visa specialty occupation requirements. Get a credential evaluation from a NACES-approved evaluator before interviews so employers aren't guessing about equivalency.
Target employers with active LCA filing history
Search the DOL's public LCA disclosure data to confirm a company has filed Labor Condition Applications for solutions architect or similar technical roles. This is faster than cold-applying to companies that have never sponsored a work visa.
Clarify the SOC code your role will use
Ask hiring managers whether the role will be classified under Software Developers, Computer Systems Analysts, or another SOC code. The code determines prevailing wage levels and shapes whether the specialty occupation argument holds under DOL scrutiny.
Negotiate LCA filing into the offer timeline
The employer must file and receive a certified LCA before you can apply at a U.S. consulate. Build two to three weeks of LCA processing time into your start date conversation so approval isn't delayed waiting on DOL certification.
Use Migrate Mate's E-3 filing service for complex cases
If your role spans multiple client sites or your degree is outside a traditional tech field, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork with a dedicated expert who knows how to document the specialty occupation nexus.
Prepare a degree-to-role narrative before your interview
Consular officers assess whether your degree directly relates to the solutions architect duties. Document how your academic background in systems design, architecture, or engineering applies specifically to the job description your employer provides.
E-3 Visa Technical Solutions Architect: Frequently Asked Questions
How do I find Technical Solutions Architect jobs with E-3 sponsorship?
Use Migrate Mate to search for Technical Solutions Architect roles where employers are open to E-3 sponsorship. Most general job boards don't filter by visa type, so you end up cold-applying without knowing whether a company has ever sponsored a work visa. Migrate Mate surfaces roles from employers with verified sponsorship history, saving you that guesswork.
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 Technical Solutions Architect role qualify as a specialty occupation for the E-3?
Yes, provided the role requires a bachelor's degree or higher in a directly related field such as computer science, information systems, or engineering. The key is that a degree must be a standard entry requirement for the position, not just preferred. Roles with vague or generic degree requirements can face LCA challenges, so the job description wording matters.
How does the E-3 compare to the H-1B for Technical Solutions Architect roles?
For Australian nationals, the E-3 is substantially more practical. There's no lottery and no annual cap, so you can apply any time of year after receiving a job offer. H-1B registrations are subject to a randomised selection process with roughly a one-in-four chance of selection. Both visas require specialty occupation status and a certified LCA, so the employer's filing workload is similar.
Can I change employers or projects while on an E-3 as a Solutions Architect?
Changing employers requires your new employer to file a fresh LCA and for you to obtain a new E-3 visa stamp, typically at a consulate appointment. If your solutions architect role involves multiple client sites, each location may need to be listed on the LCA. Moving to a materially different role within the same company can also require an amended LCA filing.