OPT Cloud Solutions Engineer Jobs
Cloud Solutions Engineer jobs are a strong fit for F-1 OPT students with backgrounds in computer science, information systems, or cloud computing. Most roles qualify as STEM OPT positions, giving you up to 36 months of work authorization. Employers in this space regularly sponsor H-1B visas for strong performers.
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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 263+ OPT Cloud Solutions Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Cloud Solutions Engineer Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Cloud Solutions Engineer
Lead with cloud certifications
AWS, Google Cloud, and Azure certifications signal employer-ready skills and reduce perceived hiring risk. Recruiters for Cloud Solutions Engineer roles treat these as hard filters, especially when evaluating candidates who need OPT work authorization.
Target STEM OPT-eligible roles explicitly
Cloud Solutions Engineer roles typically fall under SOC codes that qualify for the 24-month STEM OPT extension. Confirm your specific role qualifies before accepting an offer, and ensure your employer is enrolled in E-Verify, which is required for STEM OPT.
Highlight hands-on cloud project experience
Architecture diagrams, migration projects, and infrastructure-as-code samples in your portfolio demonstrate practical skills. Employers evaluating OPT candidates weigh demonstrated cloud experience heavily because it reduces onboarding time and justifies sponsorship investment down the line.
Focus on employers with active H-1B histories
Companies that regularly file H-1B petitions for cloud engineering roles are more likely to extend sponsorship after your OPT period ends. Prioritizing these employers from the start gives your career trajectory much more stability and reduces transition risk.
Clarify your OPT timeline during interviews
Be transparent about how much OPT time remains and whether you qualify for the STEM extension. Employers appreciate candidates who understand their own work authorization clearly, and it prevents mismatched expectations late in the hiring process.
Align your degree field to the job description
STEM OPT extensions require that your role is directly related to your degree field. For Cloud Solutions Engineer roles, degrees in computer science, information technology, or electrical engineering align cleanly. Document this connection clearly for your DSO before applying for the extension.
Cloud Solutions Engineer OPT: Frequently Asked Questions
Do Cloud Solutions Engineer jobs qualify for the STEM OPT extension?
Most Cloud Solutions Engineer roles qualify for the 24-month STEM OPT extension because they fall under computer and information systems SOC codes covered by the STEM designated degree list. To be eligible, your degree must be in a qualifying STEM field, your employer must be enrolled in E-Verify, and the role must be directly related to your degree. Confirm the SOC code with your employer before signing an offer.
How do I find Cloud Solutions Engineer jobs that sponsor OPT students?
Migrate Mate is built specifically for F-1 OPT students and filters for employers who are open to sponsoring work authorization. Searching there saves significant time compared to screening postings manually for sponsorship signals. Focus on companies in cloud infrastructure, SaaS, and managed services, where demand for cloud engineering talent routinely exceeds the available domestic candidate pool.
What cloud skills make OPT candidates more competitive for these roles?
Proficiency in at least one major cloud platform, specifically AWS, Google Cloud, or Microsoft Azure, is the baseline expectation. Beyond that, hands-on experience with Terraform or CloudFormation, Kubernetes, CI/CD pipelines, and cloud security frameworks substantially strengthens your candidacy. Employers evaluating OPT candidates often use certifications as a proxy for verified competency, so holding a current associate or professional-level certification carries real weight.
Can I start a Cloud Solutions Engineer job before my OPT EAD card arrives?
No. You cannot begin working until you physically have your EAD card in hand, regardless of the approval notice or start date listed on your I-20. Apply for OPT as early as USCIS allows, which is up to 90 days before your program end date, to minimize the gap between graduation and your start date. Communicate your EAD status proactively with your employer so they can plan onboarding accordingly.
What happens to my OPT status if I'm laid off from a Cloud Solutions Engineer role?
F-1 OPT students have a 60-day unemployment allowance during the standard OPT period and a 60-day allowance during each segment of the STEM OPT extension, totaling up to 180 days across your full OPT period. If you exceed the allowance without securing a new qualifying position, your F-1 status is jeopardized. Actively documenting your job search activities during this period is important if USCIS reviews your record.