STEM OPT Cloud Solutions Engineer Jobs
Cloud Solutions Engineer roles sit squarely in STEM-designated fields, making them eligible for the 24-month STEM OPT extension beyond your initial 12 months. Your employer must be enrolled in E-Verify, and your degree in computer science, engineering, or a related STEM discipline must align with the role's technical requirements.
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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 330+ STEM OPT Cloud Solutions Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Cloud Solutions Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Cloud Solutions Engineer
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to a STEM-designated field recognized by SEVP. Cloud Solutions Engineer roles typically require computer science or electrical engineering credentials, so a mismatch in CIP code can disqualify your extension request.
Confirm E-Verify enrollment before accepting offers
Ask the recruiter for the company's E-Verify employer ID number before signing anything. USCIS requires your employer to be actively enrolled in E-Verify for your STEM OPT extension to be approved, and enrollment status can lapse between hiring cycles.
Target cloud-heavy employers with multi-year project timelines
Cloud Solutions Engineer roles at employers running long-cycle infrastructure migrations or multi-year managed services contracts are more likely to support your full 24-month extension. Short-term project shops may not invest in the I-983 training plan your extension requires.
Build your I-983 training plan around cloud certifications
Your I-983 must list specific learning objectives tied to your STEM degree. Frame cloud platform certifications and architecture skill development as concrete, measurable goals your employer commits to supporting. Vague objectives are the most common reason DSOs push back on training plans.
Use Migrate Mate to filter roles by E-Verify status
Search Cloud Solutions Engineer positions on Migrate Mate to surface employers already verified as E-Verify enrolled. This cuts out the manual back-and-forth with recruiters and lets you focus your applications on companies that can actually sponsor your STEM OPT extension.
File your extension 90 days before your OPT end date
USCIS requires your STEM OPT extension application to be filed at least 90 days before your initial OPT expires. Missing this window means a gap in work authorization. Submit Form I-765 and your I-983 together, and confirm your DSO has updated your I-20 before you file.
Frequently Asked Questions
Does a Cloud Solutions Engineer role qualify for the STEM OPT extension?
Yes, if your employer is E-Verify enrolled and your degree is in a STEM-designated field such as computer science, information technology, or electrical engineering. The role must also require and use your STEM degree directly. Check your degree's CIP code against SEVP's STEM Designated Degree Program List to confirm eligibility before applying for the extension.
What goes into the I-983 training plan for a Cloud Solutions Engineer?
Your I-983 must describe the specific technical skills and learning objectives your employer will develop during your 24-month extension, tied directly to your STEM degree. For Cloud Solutions Engineer roles this typically includes cloud architecture, infrastructure automation, and platform-specific competencies. Your employer and DSO both sign the form, and it must be updated if your role or employer changes.
How do I confirm my employer is enrolled in E-Verify?
Ask the recruiter or HR contact for the company's E-Verify employer ID number and verify it through the E-Verify system. Enrollment is mandatory for STEM OPT authorization; a company that is not actively enrolled cannot legally employ you under the STEM OPT extension, even if they want to. You can also browse pre-filtered roles on Migrate Mate, which surfaces employers confirmed as E-Verify enrolled.
What happens to my STEM OPT authorization if my Cloud Solutions Engineer role is eliminated?
You have a 60-day grace period from your last day of employment to find a new qualifying employer, update your I-983 training plan, and have your DSO amend your I-20. If you don't secure a new E-Verify enrolled employer within that window, your STEM OPT authorization ends and you must depart the U.S. or change status.
Can my STEM OPT bridge me to an H-1B cap-gap if I'm selected in the lottery?
Yes. If you're selected in the H-1B lottery and your employer files a timely petition before your STEM OPT expires, the cap-gap provision extends your work authorization automatically through September 30 of the fiscal year the H-1B visa takes effect. Your employer must file before your OPT end date for cap-gap to apply, so coordinate the timeline carefully with HR and your DSO.