Senior Snowflake Engineer

3 days ago


Mumbai, India LearningMate Full time

Position : Snowflake EngineerFull time - Hybrid / Remote work modeRole overviewOwn 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 doBuild and productionize data pipelines in Snowflake (Snowflake SQL, Tasks/Streams, Snowpark/Python) with strong SLAs, cost controls, and monitoringUse Snowflake Cortex (LLM functions, vector search, model inference) to ship RAG/analytics assistants, summarization, and workflow automationPrototype quickly, then harden to production with CI/CD, logging, alerting, and access controlsIntegrate external LLM services or vector stores when Snowflake-native features aren’t the best fit, keeping data gravity in SnowflakeApply 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 impactDocument patterns and coach teammates on Snowflake/Cortex usageMust-have qualifications6–8 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 haveSnowflake 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


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