Snowflake
Data AI · Cloud data warehouse
- HQ
- Bozeman, US
- Founded
- 2012
- Size
- 7,000+
- Funding
- Public (SNOW)
- Website
- snowflake.com
- Blog
- snowflake.com
Products
Currently tracking 55 active AI roles, up 75% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$380k (avg $250k).
Data AI · Cloud data warehouse
| Title | Stage | AI score |
|---|---|---|
| Principal Software Engineer II - Interoperable Foundations This Principal Software Engineer role focuses on building the foundational data layer for AI and agentic innovation at Snowflake. The core mission involves a 0->1 redesign of metadata systems, Apache Iceberg, and AI-ready storage to support large-scale AI workloads and enable AI agents to navigate and act upon massive datasets. The role requires deep expertise in distributed systems, database internals, and cloud-scale architecture. | Data | 7 |
| Data Engineer Intern - Pune (2026) This is an internship role for a Data Engineer at Snowflake, focusing on building and scaling data infrastructure and AI-driven automation. The intern will develop technical tools and programming that leverage AI/ML and big-data techniques to manage, store, and utilize data, with a focus on automating data pipeline creation and designing AI/ML-powered applications for automated insights. The role involves working with data platforms, AI-driven automation, observability, and data engineering excellence. |
| Data |
| 5 |
| Applied Scientist, Customer FinOps Intelligence This role involves building analytical models and benchmarking frameworks using platform usage signals to understand customer efficiency and identify opportunities for optimization. It requires expertise in data engineering, unsupervised ML for constructing peer groups, and statistical rigor to handle complex datasets. The goal is to translate raw signals into data-driven insights for customer advisory assets and field teams. | Data | 5 |
| Senior Forward Deployed Engineer -Spark Senior Forward Deployed Engineer embedded with customers to modernize their data and application ecosystem using Snowflake AI Data Cloud, focusing on Spark and Data Engineering workloads. Designs, builds, and implements data solutions, pipelines, and architectures, optimizing performance and enabling customers to leverage AI/ML capabilities. | Data | 5 |
| Engineering Principal Tech Lead Manager (TLM) – Snowflake Feature Store Engineering Manager to lead a team building distributed systems for Snowflake's Feature Store, focusing on real-time and online serving infrastructure for enterprise ML workloads. The role involves leading a team, driving system design, shaping architecture for streaming pipelines, and ensuring reliable, low-latency feature access for AI applications. | DataServe | 5 |