Cloud Data Engineer Jobs at Snowflake with Visa Sponsorship
Cloud Data Engineer roles at Snowflake sit at the core of its data cloud platform, spanning pipeline architecture, data modeling, and cloud infrastructure work. Snowflake has a consistent track record of sponsoring international engineers across multiple visa categories, making it a realistic target for candidates who need work authorization.
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INTRODUCTION
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration. Snowflake is rapidly growing our partner Go-To-Market Initiatives. Snowflake partners, including System Integrators, Cloud Service Providers, and Technology Partners, are integral to our business, helping customers unlock the power of the Snowflake Data Cloud. We are looking for a self-driven, go-getter to grow these partnerships, build capabilities, and deliver solutions that support business growth initiatives. The ideal candidate should have excellent verbal and written communication skills in English. Success in this position requires the candidate to be a technical ninja, aligning with key programs and educating/upskilling partners on Snowflake’s critical product features.
ROLE AND RESPONSIBILITIES
The role involves engaging with both technical and executive audiences using whiteboarding, presentations, and demos to build mindshare among Snowflake partners. Additionally, Snowflake has embarked on a Native Apps Go-To-Market journey with major horizontal and vertical application data providers, including ServiceNow, Workday, Atlassian, Okta, PagerDuty, Adobe, HEAP/Amplitude, Microsoft Dynamics (Dataverse), Oracle Fusion Apps, Honeywell, NextGen, Manhattan Software, AllScripts, Halliburton Landmark, Waters Corporation, and Eagle Investment (BNYM). This strategic initiative requires a long-term technical resource investment to support partners with:
- SaaS native app connector development.
- Data model optimization for Snowflake.
- Data Cloud architecture best practices in support of Snowflake as a platform sale.
The role also involves collaborating with strategic cloud partners who are investing significantly in developing cloud-native SaaS offerings on Snowflake and working closely with data native app providers. Given the complexity and strategic nature of this role, it requires a candidate with deep technical expertise and a proven track record of successfully working with large partners to create technical champions and deliver impactful results.
PRINCIPAL DATA CLOUD ARCHITECT WILL:
- Run training sessions, workshops, webinars to help Partners become proficient in Snowflake.
- Help Solution Providers/Practice Leads with technical strategies that enable them to sell their offerings on Snowflake.
- Keep Partners up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about latest technology solutions and benefits.
- Run technical enablement programs to provide best practices and solution design workshops to help Partners create effective solutions.
- Have a Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging, sharing customer success stories and case studies to showcase the impact of Snowflake.
- Have a strong understanding of how Partners make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services.
- Have conversations with other technologists, providing presentations at the C-level.
- Development skills:
- Work with large-scale datasets, preprocess them, and create appropriate data representations.
- Work with partners in building the solution using Python, Snowpark and other open source libraries.
- Dockerize their applications and run those Docker images inside Snowflake.
- Build industry solutions based on partner and customer requirements.
- Build Gen AI-based applications and stay up-to-date with the latest advancements in Gen AI.
- Help partners in deploying ML models in Snowflake.
OUR IDEAL PRINCIPAL DATA CLOUD ARCHITECT WILL:
- Provide technical, product and deep architectural expertise on the latest product capabilities with our Partner Solution Architect community.
- Strong experience with databases like SQL Server / Oracle/ My SQL/ NoSQL DBs.
- Strong experience with data warehouses like Azure Synapse / Redshift / Big Query.
- Stay current with the latest Snowflake product updates and best practices.
- Have a total of 10+ years of relevant experience.
- Have in-depth knowledge and hands-on experience in Data Engineering, Spark, Big Data.
- Have experience and strong knowledge on Docker and how to dockerize Python based applications.
- Should have knowledge on Container networking and overview on Kubernetes.
- Working knowledge on API’s and how to build and expose applications as APIs.
- Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD), including DataOps and MLops.
- Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Experience using Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, AWS Lambda, etc.
- High level overview and knowledgeable on ML development and Generative AI. How to deploy ML models to productions.
Mentorship
We have a diverse team across the globe with different set skills, experience and tenure. We have a team who celebrates the upleveling of their colleagues in knowledge across all areas and see you being successful with your Partners. 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
COMPENSATION
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $210,000 - $275,625.
- Additionally, this role is eligible to participate in Snowflake’s bonus and 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.
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.

INTRODUCTION
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration. Snowflake is rapidly growing our partner Go-To-Market Initiatives. Snowflake partners, including System Integrators, Cloud Service Providers, and Technology Partners, are integral to our business, helping customers unlock the power of the Snowflake Data Cloud. We are looking for a self-driven, go-getter to grow these partnerships, build capabilities, and deliver solutions that support business growth initiatives. The ideal candidate should have excellent verbal and written communication skills in English. Success in this position requires the candidate to be a technical ninja, aligning with key programs and educating/upskilling partners on Snowflake’s critical product features.
ROLE AND RESPONSIBILITIES
The role involves engaging with both technical and executive audiences using whiteboarding, presentations, and demos to build mindshare among Snowflake partners. Additionally, Snowflake has embarked on a Native Apps Go-To-Market journey with major horizontal and vertical application data providers, including ServiceNow, Workday, Atlassian, Okta, PagerDuty, Adobe, HEAP/Amplitude, Microsoft Dynamics (Dataverse), Oracle Fusion Apps, Honeywell, NextGen, Manhattan Software, AllScripts, Halliburton Landmark, Waters Corporation, and Eagle Investment (BNYM). This strategic initiative requires a long-term technical resource investment to support partners with:
- SaaS native app connector development.
- Data model optimization for Snowflake.
- Data Cloud architecture best practices in support of Snowflake as a platform sale.
The role also involves collaborating with strategic cloud partners who are investing significantly in developing cloud-native SaaS offerings on Snowflake and working closely with data native app providers. Given the complexity and strategic nature of this role, it requires a candidate with deep technical expertise and a proven track record of successfully working with large partners to create technical champions and deliver impactful results.
PRINCIPAL DATA CLOUD ARCHITECT WILL:
- Run training sessions, workshops, webinars to help Partners become proficient in Snowflake.
- Help Solution Providers/Practice Leads with technical strategies that enable them to sell their offerings on Snowflake.
- Keep Partners up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about latest technology solutions and benefits.
- Run technical enablement programs to provide best practices and solution design workshops to help Partners create effective solutions.
- Have a Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging, sharing customer success stories and case studies to showcase the impact of Snowflake.
- Have a strong understanding of how Partners make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services.
- Have conversations with other technologists, providing presentations at the C-level.
- Development skills:
- Work with large-scale datasets, preprocess them, and create appropriate data representations.
- Work with partners in building the solution using Python, Snowpark and other open source libraries.
- Dockerize their applications and run those Docker images inside Snowflake.
- Build industry solutions based on partner and customer requirements.
- Build Gen AI-based applications and stay up-to-date with the latest advancements in Gen AI.
- Help partners in deploying ML models in Snowflake.
OUR IDEAL PRINCIPAL DATA CLOUD ARCHITECT WILL:
- Provide technical, product and deep architectural expertise on the latest product capabilities with our Partner Solution Architect community.
- Strong experience with databases like SQL Server / Oracle/ My SQL/ NoSQL DBs.
- Strong experience with data warehouses like Azure Synapse / Redshift / Big Query.
- Stay current with the latest Snowflake product updates and best practices.
- Have a total of 10+ years of relevant experience.
- Have in-depth knowledge and hands-on experience in Data Engineering, Spark, Big Data.
- Have experience and strong knowledge on Docker and how to dockerize Python based applications.
- Should have knowledge on Container networking and overview on Kubernetes.
- Working knowledge on API’s and how to build and expose applications as APIs.
- Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD), including DataOps and MLops.
- Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Experience using Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, AWS Lambda, etc.
- High level overview and knowledgeable on ML development and Generative AI. How to deploy ML models to productions.
Mentorship
We have a diverse team across the globe with different set skills, experience and tenure. We have a team who celebrates the upleveling of their colleagues in knowledge across all areas and see you being successful with your Partners. 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
COMPENSATION
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $210,000 - $275,625.
- Additionally, this role is eligible to participate in Snowflake’s bonus and 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.
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 26+ Cloud Data Engineer at Snowflake jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Data Engineer at Snowflake roles.
Get Access To All JobsTips for Finding Cloud Data Engineer Jobs at Snowflake Jobs
Align your portfolio to Snowflake's stack
Snowflake's Cloud Data Engineer roles consistently require hands-on experience with Snowflake's native features, dbt, and cloud platforms like AWS or Azure. Before applying, build or document projects that show you've designed pipelines or data models using these specific tools.
Request TN status at the Canadian border
If you're a Canadian or Mexican citizen working as a Computer Systems Analyst, TN status can be obtained at a port of entry on your first day. Confirm with your Snowflake recruiter that your job description maps cleanly to an eligible TN occupation category before traveling.
Clarify sponsorship scope during initial recruiter calls
Snowflake sponsors multiple visa types, but not every hiring manager knows which categories are available for a specific team or location. Ask the recruiter directly which visa types are supported for the role before you reach the offer stage to avoid late-process surprises.
Find open Cloud Data Engineer roles on Migrate Mate
Browse Cloud Data Engineer openings at Snowflake on Migrate Mate, which filters specifically for roles with confirmed visa sponsorship. This saves time you'd otherwise spend screening individual job postings to determine whether sponsorship is actually on the table.
Prepare your F-1 OPT timeline before accepting an offer
If you're on F-1 OPT, confirm your remaining authorized period before signing. USCIS requires your H-1B petition to be filed while your OPT remains valid. If your OPT expires before October 1 and you're STEM OPT eligible, verify your STEM extension is in place with your DSO first.
Document specialty occupation evidence for your H-1B petition
USCIS scrutinizes whether Cloud Data Engineer roles qualify as specialty occupations. Gather job postings for comparable roles at Snowflake and peer companies showing a bachelor's degree in computer science or a related field as a minimum requirement, not a preference. Your employer's immigration attorney will use this to build the petition.
Cloud Data Engineer at Snowflake jobs are hiring across the US. Find yours.
Find Cloud Data Engineer at Snowflake JobsFrequently Asked Questions
Does Snowflake sponsor H-1B visas for Cloud Data Engineers?
Yes, Snowflake sponsors H-1B visas for Cloud Data Engineers. The company works with immigration counsel to file H-1B petitions, which are subject to the annual cap and lottery. If you're already on H-1B with another employer, Snowflake can file an H-1B transfer, which lets you start work as soon as USCIS receives the petition.
Which visa types does Snowflake support for Cloud Data Engineer roles?
Snowflake supports H-1B, F-1 OPT and CPT, TN, J-1, and employment-based Green Card pathways including EB-2 and EB-3. The right category depends on your nationality and current status. Canadian and Mexican nationals often use TN visas as a faster alternative to H-1B, while F-1 graduates commonly start on OPT before transitioning to H-1B sponsorship.
How do I apply for Cloud Data Engineer jobs at Snowflake?
You can find Cloud Data Engineer openings at Snowflake on Migrate Mate, where listings are filtered for roles with confirmed visa sponsorship. When applying, tailor your resume to Snowflake's specific data platform, including Snowflake SQL, dbt, and cloud integrations. Snowflake's process typically includes a recruiter screen, technical assessments, and a system design interview round.
What qualifications does Snowflake expect for Cloud Data Engineer candidates?
Snowflake generally looks for a bachelor's degree in computer science, data engineering, or a closely related field, alongside hands-on experience building data pipelines, designing schemas, and working with cloud data warehouses. Proficiency with Snowflake's native features, dbt, and at least one major cloud provider such as AWS, Azure, or GCP is expected at most levels.
How do I understand the H-1B timeline when targeting a role at Snowflake?
H-1B registrations open in March each year for an October 1 start date. If selected in the lottery, your employer files the full petition between April and June. If you're on F-1 OPT, you can work continuously under the cap-gap rule while your petition is pending. Snowflake's immigration team coordinates filing through outside counsel, so confirm your start date accounts for this timeline during offer negotiations.
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