Designs and leads scalable, secure, and cost-efficient Snowflake data platforms supporting enterprise analytics, operational reporting, and generative AI applications. Serves as the technical authority for data architecture, modeling, lakehouse design, Snowflake services, dbt transformation frameworks, and Python/Snowpark development. Provides hands-on architectural leadership while influencing executive-level technology strategy.
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
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