Description

Job Description: This is a hands-on Senior role at the intersection of data engineering, cloud architecture, and generative AI. You will serve as the primary technical authority on our Snowflake Data Cloud strategy — designing scalable, secure, and cost-efficient data platforms that underpin enterprise analytics, operational reporting, and AI-native applications. You will get hands-on with complex architectural problems while influencing direction at the executive level.

 Skills & Experience: Overall, 10-15 years of experience in Solution Architecture, Data Management, Data Lake and Lakehouse design and development.   Snowflake (expert): Virtual warehouses, Snowpark, Cortex AI (LLM functions, vector search, Document AI, Cortex Guard), Dynamic Tables, Streams & Tasks, Data Sharing Data modelling (expert): Data vault 2.0, Kimball dimensional, hybrid schemas; conceptual, logical, and physical design for analytics and AI workloads dbt (advanced): Core and Cloud; modular transformation layer design, testing frameworks, and CI/CD integration with Snowflake Python / Snowpark (proficient): Custom UDFs, ML pipelines, data transformation logic running natively inside Snowflake compute

Required Skills

• AWS Glue
• AWS: EMR
• Amazon Redshift
• Azure Data Factory
• Azure Synapse
• Databricks
• PySpark
• Python
• Snowflake
• Visualization Reporting

Key Skills

Education

Any Graduate