Why This Job is Featured on The SaaS Jobs
This Staff Software Engineer role sits in a core SaaS problem space: reducing the friction of enterprise migration onto a cloud data platform. SnowConvert AI is positioned at the intersection of AI-assisted developer tooling and large-scale data modernization, where product value depends on correctness, reliability, and repeatability—not just model output. The emphasis on conversion techniques, validation pipelines, and automated testing reflects the realities of SaaS platforms that must support many customer environments and heterogeneous legacy stacks.
For a long-term SaaS career, the work maps to durable platform-building skills: designing stable APIs for evolving capabilities, engineering back-end systems that handle large datasets, and creating automation that can be trusted in production. The collaboration with field-facing engineering for rapid feedback loops also mirrors how mature SaaS products close the gap between real customer constraints and system design, especially in data infrastructure and developer experience.
This role is best suited to engineers who prefer foundational work over feature surface area—those who like building primitives that other teams and agents depend on. It fits professionals comfortable navigating ambiguity in AI-enabled systems while holding a high bar for semantic equivalence, testing rigor, and operational robustness in enterprise-grade SaaS.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
Snowflake redefined the data landscape over a decade ago by building the AI Data Cloud—delivering industry-leading performance and price at scale across data engineering, analytics, and AI/ML workloads. Every day, new customers begin their journey to Snowflake, but migrating existing data and applications from legacy platforms remains a complex, high-effort challenge. Customers must adapt their entire ecosystem—data, database code, ETL pipelines, and consuming applications—to fully realize Snowflake’s value. The Migrations organization serves as the catalyst for this modernization, building solutions that enable customers and partners to migrate efficiently and with less risk. Within this charter, the SnowConvert AI team delivers an AI-driven migration product that moves data-centric applications to Snowflake an order of magnitude faster than industry norms. SnowConvert goes beyond schema and SQL translation, seamlessly migrating data, code, ETL pipelines, and BI tools by combining AI-based conversion with rigorous execution-level validation, ensuring that migrated systems are not only syntactically correct, but semantically equivalent to their source and production-ready on the Snowflake AI Data Cloud
RESPONSIBILITIES:
The team develops fundamental code conversion techniques, robust data migration and validation pipelines, and automatic testing components. These capabilities are then leveraged by automated AI agents that process a complete application migration to Snowflake.
Develop the foundations that AI agents rely on for fast, consistent code conversion
This development team sits at the center of the original SnowConvert team, AI team, FDE to deliver the architecture below.
Careful API design is a must for an ever-changing landscape of AI capabilities.
Iterating with the FDE team enables quick feedback to prototypes, early products.
OUR IDEAL SOFTWARE ENGINEER WILL HAVE:
10+ Years software development experience
Built and landed software that’s been used by developers
Experience delivering performant, scaled software back ends
Comfort with complex systems, large data sets, PB scale data
Familiarity with DBMS systems, ETL technologies, Analytics
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
