Senior Snowflake Engineer

4 weeks ago

Mumbai, Maharashtra, India LearningMate Full time
Job Description

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 youll 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 arent 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

- 68 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 mind
- Working knowledge of data security/governance and performance tuning in Snowflake

Nice 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 systems
- Data 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

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