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
6–8 years in data engineering / analytics (or equivalent impact), including 1+ year building in Snowflake in production.Strong SQL and Python ; hands-on with Snowpark and UDFs (Python preferred).Practical experience with at least one Snowflake AI capability : Cortex LLM functions , vector search , or model inference (POCs are fine)Proven ability to ship : from prototype → production with quality, cost, and performance in mindWorking knowledge of data security / governance and performance tuning in SnowflakeNice to have
Snowflake certifications (SnowPro Core / Advanced / Data Engineering)Experience with RAG architectures , embeddings, LangChain / LlamaIndex , or ML lifecycle tools (MLflow)dbt, Git-based CI / CD, Docker; basic observability for data / LLM systemsData viz (e.g., Power BI / Tableau) or building simple REST / Streamlit apps for demos.Prior work with Azure OpenAI, GCP Vertex AI, Databricks, or other cloud AI stack