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frameworks, ELT/ETL strategies, and performance optimization standards.\nStrong hands-on expertise in Snowflake, SQL, Snowpark, Streams & Tasks, Dynamic Tables, RBAC, data sharing, and performance tuning.\nArchitect integrations with cloud platforms such as Azure/AWS, along with tools such as dbt, Informatica, Matillion, ADF, or similar data engineering technologies.\nProvide technical leadership on data governance, security, scalability, cost optimization, architecture reviews, and migration of enterprise workloads to Snowflake.\nKey Responsibilities\nDesign and implement scalable enterprise data architectures using Snowflake, covering data warehousing, data lakes, and modern analytics solutions.\nDefine data models, architecture patterns, ingestion frameworks, ELT/ETL strategies, and performance optimization standards.\nStrong hands-on expertise in Snowflake, SQL, Snowpark, Streams & Tasks, Dynamic Tables, RBAC, data sharing, and performance tuning.\nArchitect integrations with cloud 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