Looking for a professional in designing and deploying GenAI and data-driven solutions on Snowflake. The role requires expertise in Snowflake data engineering, agentic AI workflows (LangChain/LangGraph), and building scalable data pipelines and ML integrations using Snowpark.
Responsibilities
- Design and optimize data models, schemas, and pipelines in Snowflake (raw, staging, curated layers).
- Prepare architecture diagrams for solutions on Snowflake.
- Build and maintain ELT/ETL workflows using Snowpipe, Streams, Tasks, and external orchestration tools.
- Integrate Agentic AI workflows (LangChain, LangGraph, etc.) with Snowflake as the primary data backbone.
- Enable AI agents to query, reason, and act using Snowflake datasets, including secure read/write operations.
- Implement batch and real-time data processing pipelines in Snowflake.
- Deploy and manage ML models via Snowpark for advanced analytics and AI-driven insights.
- Ensure data governance, RBAC, and compliance across all Snowflake environments.
- Monitor and optimize warehouse performance, cost efficiency, and query execution.
- Take ownership of modules, guide team members and interact with clients.
Required Skills
- Strong expertise in Snowflake Data Cloud (SQL, schema design, performance tuning).
- Hands-on experience with Snowpipe, Streams, Tasks, Clustering, and Partitioning.
- Proficiency in Python and SQL for data engineering and AI workflows.
- Experience with LangChain, LangGraph, or other agentic AI frameworks.
- Knowledge of data governance, RBAC, and security best practices in Snowflake.
- Ability to build scalable ELT/ETL pipelines for structured and semi-structured data.
- Familiarity with Snowpark for deploying ML/AI models.
Note : Need immediate joiner only
