Senior Snowflake Engineer

Position : Snowflake Engineer

Full time - Hybrid / Remote work mode

Role overview

Own the design and delivery of data + GenAI solutions where Snowflake is the primary platform. Expect a practical split of ~60% data engineering / Snowflake optimization and ~40% GenAI / Cortex work (good to have).

What you’ll do

• Build and productionize data pipelines in Snowflake (Snowflake SQL, Tasks / Streams, Snowpark / Python) with strong SLAs, cost controls, and monitoring
• Use Snowflake Cortex (LLM functions, vector search, model inference) to ship RAG / analytics assistants, summarization, and workflow automation
• Prototype quickly, then harden to production with CI / CD, logging, alerting, and access controls
• Integrate external LLM services or vector stores when Snowflake-native features aren’t the best fit, keeping data gravity in Snowflake
• Apply governance and security best practices (RBAC, masking, tags, row-level / column-level security)
• Collaborate with data product owners and analysts to scope use cases, estimate effort, and measure impact
• Document patterns and coach teammates on Snowflake / Cortex usage

Must-have qualifications

hands-on with Snowpark and UDFs (Python preferred).

Nice to have

basic observability fordata / LLM systems