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Senior Amaze - Data Architect
Job 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
Description copied from Hexaware Technologies's careers page. Read the full posting before you apply.
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