engineering
Posted Jan 21Software Engineer - SnowConvert AI
at Snowflake
On-site
Requirements
- 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.
- 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.
- 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.
- experience in Python, with a focus on performance, reliability, and distributed systems. - Hands-on
- experience building agentic AI applications, especially in domains such as computer control or code gen. - Track record of contributions to open-source agentic frameworks such as LangChain, AutoGen, etc. - Deep understanding of distributed systems, API design, and backend architectures. - High agency—ability to take ownership, navigate ambiguity, and independently push projects forward. STRONGLY DESIRED: -
- Experience with GoLang for high-performance backend services. - Strong understanding of big data transformation, ETL, and ELT pipelines. - Proficiency in Spark, Airflow, dbt, Kafka or other data engineering tools. - Familiarity with streaming architectures, event-driven systems, and async processing. -
- Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
- Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
Benefits
- 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
Contact
- benefits information: careers.snowflake.com http://careers.snowflake.com
Additional details
- At Snowflake, we are powering the era of the agentic enterprise.
- 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.
- The Migrations organization serves as the catalyst for this modernization, building solutions that enable customers and partners to migrate efficiently and with less risk.
- Experience optimizing large-scale data pipelines for performance and cost efficiency. - Former founding engineers who have built and owned significant technical projects are highly valued.
- It is every employee's duty to keep customer information secure and confidential.
- 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.