Principal Software Engineer Jobs at Snowflake with Visa Sponsorship
Snowflake hires Principal Software Engineers to build and scale its cloud data platform, and the company has an established track record of supporting work visa sponsorship for engineering talent. If you're targeting a senior individual contributor role here, this page covers what to expect.
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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 Mission: Building the Data Foundations for AI
We are the Snowflake Interoperable Foundations organization - the foundational layer that powers Snowflake’s AI, Analytics and Data Engineering capabilities. We lead innovations across open table formats such as Apache Iceberg, helping customers build peta-byte scale multi-cloud data lakes on Snowflake. We deliver core Metadata capabilities that power Snowflake’s industry-leading performance, AI, governance and platform features. We are embarking on a 0->1 redesign of our core systems across Interoperable Foundations. While we already manage exabyte-scale data supporting Snowflake’s AI capabilities, the next frontier is providing the foundational data layer that accelerates agentic innovation in an open, multi-format data world. You will be setting the technical vision across our investments in metadata platforms, Apache Iceberg and AI-ready storage.
Your Impact: From Redesign to Reality
- 0->1 Architectural Leadership: Lead the ground-up redesign of our core Metadata systems, influencing the transaction frameworks that power query, DML, and AI-driven data interactions in addition to extending our lead on platform capabilities such as Zero Copy Cloning and Cross-Region / Cross-Cloud Replication.
- Iceberg Innovation: Drive industry-leading innovation on Apache Iceberg, ensuring it serves as a first-class citizen for Analytics, Data Engineering, and high-performance AI workloads.
- AI & Agentic Foundation: Build the foundational metadata capabilities - from richer metadata for AI workloads, to lifecycle management and global replication (Snowgrid)—that allow AI agents to navigate, understand, and act upon massive datasets in a secure and governed fashion.
- Scalability & Resilience: Solve "impossible" challenges in fault-tolerance, scalability, high availability, and performance for services that must meet the demands of a rapidly growing global ecosystem.
- Strategic Influence: Own the end-to-end architecture, influence the product roadmap, and identify the next innovations that will keep Snowflake at the cutting edge of the AI era.
- Mentorship: Grow the next generation of engineers, fostering a culture of rigorous innovation and technical excellence.
What You Bring
- 15+ years of experience designing and supporting large-scale distributed services.
- Deep Database Internals Expertise: Comprehensive knowledge of metadata management, query optimization, clustering, compaction, catalogs, and large-scale data management.
- Systems Mastery: Excellent understanding of distributed systems, durability and correctness fundamentals, multi-threading, memory management, and storage performance.
- Cloud-Scale Track Record: A history of implementing creative, 0->1 solutions for complex problems at massive scale.
- CS Fundamentals: Strong mastery of data structures, algorithms, and the trade-offs between consistency and performance.
- Education: BS in Computer Science; an advanced degree is preferred.
Why Snowflake?
Build an industry-leading Cloud Data and AI Platform, solving challenging technical problems related to security, parallelism, distributed systems, and large-scale system maintenance. Join a world-class team and innovate with rigor.
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.
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
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $304,000 - $437,000.
- 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.

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 Mission: Building the Data Foundations for AI
We are the Snowflake Interoperable Foundations organization - the foundational layer that powers Snowflake’s AI, Analytics and Data Engineering capabilities. We lead innovations across open table formats such as Apache Iceberg, helping customers build peta-byte scale multi-cloud data lakes on Snowflake. We deliver core Metadata capabilities that power Snowflake’s industry-leading performance, AI, governance and platform features. We are embarking on a 0->1 redesign of our core systems across Interoperable Foundations. While we already manage exabyte-scale data supporting Snowflake’s AI capabilities, the next frontier is providing the foundational data layer that accelerates agentic innovation in an open, multi-format data world. You will be setting the technical vision across our investments in metadata platforms, Apache Iceberg and AI-ready storage.
Your Impact: From Redesign to Reality
- 0->1 Architectural Leadership: Lead the ground-up redesign of our core Metadata systems, influencing the transaction frameworks that power query, DML, and AI-driven data interactions in addition to extending our lead on platform capabilities such as Zero Copy Cloning and Cross-Region / Cross-Cloud Replication.
- Iceberg Innovation: Drive industry-leading innovation on Apache Iceberg, ensuring it serves as a first-class citizen for Analytics, Data Engineering, and high-performance AI workloads.
- AI & Agentic Foundation: Build the foundational metadata capabilities - from richer metadata for AI workloads, to lifecycle management and global replication (Snowgrid)—that allow AI agents to navigate, understand, and act upon massive datasets in a secure and governed fashion.
- Scalability & Resilience: Solve "impossible" challenges in fault-tolerance, scalability, high availability, and performance for services that must meet the demands of a rapidly growing global ecosystem.
- Strategic Influence: Own the end-to-end architecture, influence the product roadmap, and identify the next innovations that will keep Snowflake at the cutting edge of the AI era.
- Mentorship: Grow the next generation of engineers, fostering a culture of rigorous innovation and technical excellence.
What You Bring
- 15+ years of experience designing and supporting large-scale distributed services.
- Deep Database Internals Expertise: Comprehensive knowledge of metadata management, query optimization, clustering, compaction, catalogs, and large-scale data management.
- Systems Mastery: Excellent understanding of distributed systems, durability and correctness fundamentals, multi-threading, memory management, and storage performance.
- Cloud-Scale Track Record: A history of implementing creative, 0->1 solutions for complex problems at massive scale.
- CS Fundamentals: Strong mastery of data structures, algorithms, and the trade-offs between consistency and performance.
- Education: BS in Computer Science; an advanced degree is preferred.
Why Snowflake?
Build an industry-leading Cloud Data and AI Platform, solving challenging technical problems related to security, parallelism, distributed systems, and large-scale system maintenance. Join a world-class team and innovate with rigor.
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.
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
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $304,000 - $437,000.
- 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 33+ Principal Software Engineer at Snowflake jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Principal Software Engineer at Snowflake roles.
Get Access To All JobsTips for Finding Principal Software Engineer Jobs at Snowflake Jobs
Align your expertise with Snowflake's core stack
Snowflake's Principal Engineer roles center on distributed systems, query optimization, and cloud-native infrastructure. Before applying, document specific projects where you've owned large-scale system design decisions. Vague experience claims won't survive their technical screen.
Verify your degree field matches specialty occupation criteria
USCIS requires H-1B specialty occupations to show a direct relationship between the role and a specific degree field. A computer science, software engineering, or closely related degree strengthens your petition for a Principal Software Engineer title.
Request the H-1B petition timeline early in the offer stage
Snowflake files H-1B petitions through a designated immigration counsel. Ask your recruiter during the offer stage whether they'll file standard or premium processing, since premium processing cuts USCIS adjudication to 15 business days and affects your start date.
Use Migrate Mate to target open Principal Engineer roles
Snowflake posts Principal Software Engineer openings across multiple locations with different sponsorship eligibility. Use Migrate Mate to filter specifically for sponsored Principal Engineer roles at Snowflake so you're applying to positions where sponsorship is confirmed, not assumed.
Prepare for a transfer if you're already on H-1B status
If you're transferring an existing H-1B to Snowflake, you can start work as soon as Snowflake files your transfer petition, under portability rules. Confirm your prior employer's petition was approvable and that you've maintained continuous valid status.
Understand how Green Card sponsorship fits the Principal track
Principal Software Engineer roles at Snowflake typically qualify for EB-2 or EB-3 PERM-based sponsorship. Ask during negotiation whether Snowflake initiates PERM filings, since DOL labor certification timelines can run 12 to 18 months before an I-140 petition is filed.
Principal Software Engineer at Snowflake jobs are hiring across the US. Find yours.
Find Principal Software Engineer at Snowflake JobsFrequently Asked Questions
Does Snowflake sponsor H-1B visas for Principal Software Engineers?
Yes, Snowflake sponsors H-1B visas for Principal Software Engineer roles. The company works with immigration counsel to file both new H-1B cap-subject petitions and H-1B transfers for candidates already in H-1B status. If you receive an offer, confirm with your recruiter whether standard or premium processing will be used, as this affects how quickly you can start.
How do I apply for Principal Software Engineer jobs at Snowflake?
Apply directly through Snowflake's careers portal, or browse open Principal Software Engineer positions on Migrate Mate, which filters for roles where visa sponsorship is available. The process typically involves a recruiter screen, system design and coding interviews, and a panel review. Prepare for deep architectural discussions, as Principal-level screens assess system design judgment, not just coding ability.
Which visa types does Snowflake commonly use for Principal Software Engineers?
Snowflake sponsors H-1B, TN (for Canadian and Mexican nationals), F-1 OPT and CPT for recent graduates, J-1 for certain exchange visitors, and employment-based Green Cards including EB-2 and EB-3 for longer-term sponsorship. The H-1B is the most common path for mid-career engineers. TN is a faster option for qualifying Canadian and Mexican nationals with a computer-related degree.
What qualifications does Snowflake expect for Principal Software Engineer roles?
Snowflake's Principal Software Engineer roles require deep expertise in distributed systems, large-scale data processing, or cloud infrastructure. A bachelor's degree or higher in computer science or a related field is expected, and USCIS requires this degree-to-role relationship for H-1B specialty occupation status. Candidates typically bring significant industry experience and a history of leading complex, cross-functional engineering initiatives.
How do I manage my visa timeline when switching to Snowflake from another employer?
If you're on an existing H-1B, Snowflake can file an H-1B transfer petition, and you're generally authorized to start work once the transfer petition is received by USCIS under portability rules. If you're on F-1 OPT, confirm your OPT expiration date and whether a cap-gap extension applies. Start the conversation with Snowflake's recruiting team early, since any petition filing depends on your current status and authorized end date.
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