Skill specialists
Hire Vetted Snowflake Engineers
Find data engineers and architects who build AI-ready data warehouses on Snowflake — Snowpark ML, Cortex AI, and enterprise-grade data governance included.
Top matching AI talents
AI Specialization
Availability
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Jonathan
Alamdar
Muhammad
Alok
Preethi Thummeti
Ike Judah Ekenedilichukwu
Vincenzo Colella
Ayesha Fatima
Asif Ejaz
Hiring guide
Why companies hire Snowflake experts
Snowflake is a leading cloud data warehouse platform increasingly used for AI and ML workloads via Snowpark. Engineers with Snowflake expertise build the data foundation that supports both analytics and production ML systems.
Popular projects
- Design a cloud data warehouse optimised for AI analytics
- Run ML models directly in Snowflake without moving your data
- Add LLM-powered SQL analytics with Snowflake Cortex AI
- Build secure data sharing for AI data products across teams
What to look for
- Production Snowflake architecture and performance optimisation
- Snowpark Python experience for ML workloads
- Knowledge of Snowflake data sharing and governance features
Frequently asked questions
Can Snowflake be used for machine learning?
Yes. Snowflake Snowpark allows Python ML code to run inside Snowflake, and Snowflake Cortex provides LLM-powered SQL functions. Engineers increasingly build ML pipelines directly in Snowflake to avoid data movement.
Do Snowflake engineers need SQL or Python?
Both. SQL is essential for warehouse design and query optimisation. Python is needed for Snowpark ML workloads. The most valuable Snowflake engineers are comfortable in both and can design end-to-end pipelines within the Snowflake environment.
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