E-3 Visa Cloud Solutions Engineer Jobs
Cloud Solutions Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, information systems, or a related field. Australian citizens can work in the U.S. on an E-3 without entering a lottery, with two-year renewals available indefinitely as long as you maintain a qualifying employer.
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Get Access To All JobsAt Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
The Cloud Partner Solutions Engineering team's mission is to support co-sell objectives with Cloud Service Provider (CSP) partners by driving customer success through use case wins and go-lives, product integration launches, field enablement, and joint marketing campaigns and initiatives. As a Cloud Partner Solutions Engineer, you will own one or more hyperscaler partnerships end-to-end — combining deep technical credibility with the business acumen and program management skills to translate that technical work into measurable partner and customer outcomes. This is not a purely technical role and not a purely functional one: success requires you to be equally comfortable architecting a cross-cloud Iceberg solution with a partner SA team and leading a joint executive business review with cloud partner and Snowflake field leadership.
KEY RESPONSIBILITIES:
Partner Strategy & GTM Program Ownership
- Own the overall joint GTM strategy and execution plan for your assigned cloud partner(s), aligning Snowflake's field priorities with cloud partner co-sell programs and market initiatives.
- Build and manage a portfolio of cloud partner product integrations and joint solutions — from business case through launch — ensuring each delivers measurable field and customer value.
- Develop Joint Industry Solutions, co-sell assets, and cloud marketplace offerings that align Snowflake use cases to cloud partner product portfolios and commercial programs.
- Lead joint planning cadences with cloud partner alliance teams, translating partner strategy into actionable quarterly and annual execution plans.
- Identify whitespace opportunities, product gaps, and integration priorities; synthesize partner field feedback into structured recommendations for Snowflake product and GTM teams.
- Represent Snowflake at partner events, conferences, and executive forums — including AWS re:Invent, Google Next, and Microsoft Build — as a credible voice across both technical and business audiences.
Top Account Co-Sell Execution
- Drive joint account planning with field AEs and cloud Alliances teams against top-account lists, establishing 18+ month account strategies that integrate Snowflake and cloud partner resources.
- Lead and manage the full co-sell lifecycle — from opportunity identification and qualification through technical win and production deployment — with clear milestone ownership and stakeholder communication throughout.
- Frame and communicate the business value of joint Snowflake + cloud partner solutions to executive and technical stakeholders at target accounts, tailoring the narrative to industry context and customer objectives.
- Deliver packaged POCs and customer workshops built around high-impact co-sell plays — including Open Lakehouse (S3/Iceberg, Fabric OneLake, BigLake), Cortex AI + cloud LLM services (Anthropic/Cortex, Azure OpenAI, Vertex AI), and Data Engineering pipelines.
- Partner with SI teams on joint POC delivery and coordinate cross-functional resources (product, professional services, Alliances) to remove blockers and accelerate time to go-live.
- Conduct and participate in joint Quarterly Business Reviews (QBRs) with cloud partner and Snowflake field leadership, presenting pipeline health, consumption trends, and next-period priorities.
Cloud Partner Field Enablement
- Design and deliver enablement programs for cloud SA and partner field teams across AWS, Azure, and GCP — building both technical competency and commercial confidence in positioning Snowflake co-sell plays.
- Build and sustain cloud SA champion networks through structured, account-based up-skilling covering product features, industry verticals, enterprise architecture patterns, and value-based selling frameworks.
- Support cloud partner COE maturity development by providing architecture guidance, deployment best practices, and access to Snowflake technical and GTM resources.
- Publish technical blogs, whitepapers, quickstarts, and case studies that document joint integration patterns, customer outcomes, and co-sell plays — creating reusable assets that multiply field impact beyond individual engagements.
- Develop and maintain L100/L200 enablement decks and partner-facing narratives that translate complex technical integrations into business-relevant co-sell stories.
Technical Depth — Cortex AI, Iceberg, and Cross-Cloud Architectures
- Lead hands-on Cortex AI enablement with cloud partner field teams, covering Cortex LLM, Search, Analyst, Fine Tuning, and Anthropic/Cortex co-sell plays relevant to each cloud's AI portfolio.
- Architect and deliver cross-cloud Iceberg and Lakehouse solutions integrating Snowflake with AWS S3/Iceberg, Microsoft Fabric OneLake, and Google BigLake — demonstrating interoperability across the open data ecosystem.
- Enable Openflow, Snowpark, and Snowpark Container Services (SPCS) deployment patterns in joint customer engagements, with a focus on production-readiness and scalability.
- Map Snowflake workloads to cloud partner product portfolios (AWS SageMaker, Bedrock, Glue, MSK; Azure Data Factory, Power BI, Copilot, AI Studio; GCP Vertex AI, Gemini, BigQuery) to craft technically grounded co-sell narratives that hold up in front of both SAs and architects.
- Support customers from technical win through production deployment, ensuring that go-live results in measurable, sustained consumption.
Mentorship
- Mentor junior Solutions Engineers on cloud partner engagement models, co-sell execution, business value framing, and technical delivery.
- Elevate team capability across technical depth, GTM execution, and partner program management by sharing playbooks, lessons learned, and reusable assets.
EDUCATIONAL BACKGROUND
- Bachelor’s Degree: Most roles require a degree in Business, Marketing, Computer Science, Data Science, or a related analytical field.
- Advanced Degrees: An MBA or a Master’s in Data Analytics is often preferred for senior-level or strategic positions.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
COMPENSATION
- This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562.
- Additionally, this role is eligible to participate in Snowflake’s equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
The Cloud Partner Solutions Engineering team's mission is to support co-sell objectives with Cloud Service Provider (CSP) partners by driving customer success through use case wins and go-lives, product integration launches, field enablement, and joint marketing campaigns and initiatives. As a Cloud Partner Solutions Engineer, you will own one or more hyperscaler partnerships end-to-end — combining deep technical credibility with the business acumen and program management skills to translate that technical work into measurable partner and customer outcomes. This is not a purely technical role and not a purely functional one: success requires you to be equally comfortable architecting a cross-cloud Iceberg solution with a partner SA team and leading a joint executive business review with cloud partner and Snowflake field leadership.
KEY RESPONSIBILITIES:
Partner Strategy & GTM Program Ownership
- Own the overall joint GTM strategy and execution plan for your assigned cloud partner(s), aligning Snowflake's field priorities with cloud partner co-sell programs and market initiatives.
- Build and manage a portfolio of cloud partner product integrations and joint solutions — from business case through launch — ensuring each delivers measurable field and customer value.
- Develop Joint Industry Solutions, co-sell assets, and cloud marketplace offerings that align Snowflake use cases to cloud partner product portfolios and commercial programs.
- Lead joint planning cadences with cloud partner alliance teams, translating partner strategy into actionable quarterly and annual execution plans.
- Identify whitespace opportunities, product gaps, and integration priorities; synthesize partner field feedback into structured recommendations for Snowflake product and GTM teams.
- Represent Snowflake at partner events, conferences, and executive forums — including AWS re:Invent, Google Next, and Microsoft Build — as a credible voice across both technical and business audiences.
Top Account Co-Sell Execution
- Drive joint account planning with field AEs and cloud Alliances teams against top-account lists, establishing 18+ month account strategies that integrate Snowflake and cloud partner resources.
- Lead and manage the full co-sell lifecycle — from opportunity identification and qualification through technical win and production deployment — with clear milestone ownership and stakeholder communication throughout.
- Frame and communicate the business value of joint Snowflake + cloud partner solutions to executive and technical stakeholders at target accounts, tailoring the narrative to industry context and customer objectives.
- Deliver packaged POCs and customer workshops built around high-impact co-sell plays — including Open Lakehouse (S3/Iceberg, Fabric OneLake, BigLake), Cortex AI + cloud LLM services (Anthropic/Cortex, Azure OpenAI, Vertex AI), and Data Engineering pipelines.
- Partner with SI teams on joint POC delivery and coordinate cross-functional resources (product, professional services, Alliances) to remove blockers and accelerate time to go-live.
- Conduct and participate in joint Quarterly Business Reviews (QBRs) with cloud partner and Snowflake field leadership, presenting pipeline health, consumption trends, and next-period priorities.
Cloud Partner Field Enablement
- Design and deliver enablement programs for cloud SA and partner field teams across AWS, Azure, and GCP — building both technical competency and commercial confidence in positioning Snowflake co-sell plays.
- Build and sustain cloud SA champion networks through structured, account-based up-skilling covering product features, industry verticals, enterprise architecture patterns, and value-based selling frameworks.
- Support cloud partner COE maturity development by providing architecture guidance, deployment best practices, and access to Snowflake technical and GTM resources.
- Publish technical blogs, whitepapers, quickstarts, and case studies that document joint integration patterns, customer outcomes, and co-sell plays — creating reusable assets that multiply field impact beyond individual engagements.
- Develop and maintain L100/L200 enablement decks and partner-facing narratives that translate complex technical integrations into business-relevant co-sell stories.
Technical Depth — Cortex AI, Iceberg, and Cross-Cloud Architectures
- Lead hands-on Cortex AI enablement with cloud partner field teams, covering Cortex LLM, Search, Analyst, Fine Tuning, and Anthropic/Cortex co-sell plays relevant to each cloud's AI portfolio.
- Architect and deliver cross-cloud Iceberg and Lakehouse solutions integrating Snowflake with AWS S3/Iceberg, Microsoft Fabric OneLake, and Google BigLake — demonstrating interoperability across the open data ecosystem.
- Enable Openflow, Snowpark, and Snowpark Container Services (SPCS) deployment patterns in joint customer engagements, with a focus on production-readiness and scalability.
- Map Snowflake workloads to cloud partner product portfolios (AWS SageMaker, Bedrock, Glue, MSK; Azure Data Factory, Power BI, Copilot, AI Studio; GCP Vertex AI, Gemini, BigQuery) to craft technically grounded co-sell narratives that hold up in front of both SAs and architects.
- Support customers from technical win through production deployment, ensuring that go-live results in measurable, sustained consumption.
Mentorship
- Mentor junior Solutions Engineers on cloud partner engagement models, co-sell execution, business value framing, and technical delivery.
- Elevate team capability across technical depth, GTM execution, and partner program management by sharing playbooks, lessons learned, and reusable assets.
EDUCATIONAL BACKGROUND
- Bachelor’s Degree: Most roles require a degree in Business, Marketing, Computer Science, Data Science, or a related analytical field.
- Advanced Degrees: An MBA or a Master’s in Data Analytics is often preferred for senior-level or strategic positions.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
COMPENSATION
- This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562.
- Additionally, this role is eligible to participate in Snowflake’s equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
See all 631+ E-3 Visa Cloud Solutions Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Cloud Solutions Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Cloud Solutions Engineer
Align your degree to the role
U.S. consular officers assess whether your Australian degree field directly supports cloud solutions engineering. A computing or IT degree maps cleanly, but a general science degree paired with AWS or Azure certifications may need a credential evaluation letter to bridge the gap.
Target employers with LCA filing history
Search DOL's Foreign Labor Application Gateway disclosure data to identify companies that have previously filed Labor Condition Applications for cloud or solutions engineering roles. Prior LCA filings signal an employer already understands the E-3 visa process and won't treat your visa as a blocker.
Confirm the job posting requires a specific degree
The E-3 requires the role to meet the specialty occupation standard, meaning the position must normally require a bachelor's degree in a specific field. If a job ad says 'degree preferred' rather than 'required,' push the hiring team to confirm the degree requirement in your offer letter before you apply.
Use Migrate Mate's E-3 filing service after receiving your offer
Once you have a signed offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. This covers DOL certification, DS-160 preparation, and consulate appointment readiness so you can start without delays.
Prepare for consulate questions about cloud scope
Sydney, Melbourne, and Perth consular officers may ask how your day-to-day duties differ from general IT support. Bring role documentation that specifies cloud architecture, migration projects, or platform responsibilities to demonstrate the specialty nature of the position.
Address E-3 at the offer stage, not after
Raise E-3 sponsorship requirements during the offer negotiation, not after you've signed. Confirm the employer will file the LCA through USCIS and DOL before your start date, and clarify who covers government filing fees so there are no surprises at the paperwork stage.
E-3 Visa Cloud Solutions Engineer: Frequently Asked Questions
How do I find Cloud Solutions Engineer jobs with E-3 visa sponsorship?
Migrate Mate lists Cloud Solutions Engineer roles from employers who are open to E-3 visa sponsorship for Australian candidates. Filtering by E-3 eligibility removes roles where sponsorship isn't on the table, so you spend time on applications that can actually move forward rather than chasing positions where the visa conversation stalls at the HR stage.
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 Solutions Engineer role qualify as a specialty occupation for the E-3?
Cloud Solutions Engineer positions typically qualify because they require theoretical and practical application of highly specialised knowledge in cloud architecture, platform integration, or infrastructure design, along with a bachelor's degree or higher in a relevant field like computer science or information systems. Consular officers review your offer letter and role description, so the job duties must match that specialty occupation standard, not just carry a technical job title.
How does the E-3 compare to the H-1B for Cloud Solutions Engineers?
For Australian nationals, the E-3 is significantly more accessible than the H-1B visa. There's 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 runs through a lottery with an acceptance rate well below 50 percent for most registrants, meaning qualified cloud engineers can wait years for a slot. The E-3 has a 10,500 annual allocation that has never been exhausted.
Can I switch Cloud Solutions Engineer employers while on an E-3?
Yes, but you need a new LCA and visa documentation tied to the new employer before you start working there. Unlike some visa categories, the E-3 is employer-specific and doesn't transfer automatically. Your current E-3 remains valid until its expiry date for the original employer, but you can't begin work with a new company until the new LCA is DOL-certified and you either obtain a new E-3 stamp or change status through USCIS.