What You Will Do: - Design, develop, and optimize cloud-native data solutions using Databricks, Snowflake, Microsoft Fabric, and related data technologies. - Architect and deliver modern cloud data solutions on AWS, Azure, and GCP, integrating cloud-native technologies with Databricks, Snowflake, and Microsoft Fabric to support enterprise analytics, AI, and BI. - Build scalable batch and streaming data pipelines that support enterprise analytics, operational reporting, and AI-enabled applications. - Design and implement lakehouse and data warehouse architectures that improve data accessibility, governance, and performance. - Collaborate with client stakeholders to gather requirements, translate business needs into technical solutions, and deliver high-quality data engineering outcomes. - Develop robust ELT/ETL processes, data models, orchestration workflows, and data quality frameworks. - Enable AI and advanced analytics by creating trusted, scalable data foundat

What You Will Do: - Design, develop, and optimize cloud-native data solutions using Databricks, Snowflake, Microsoft Fabric, and related data technologies. - Architect and deliver modern cloud data solutions on AWS, Azure, and GCP, integrating cloud-native technologies with Databricks, Snowflake, and Microsoft Fabric to support enterprise analytics, AI, and BI. - Build scalable batch and streaming data pipelines that support enterprise analytics, operational reporting, and AI-enabled applications. - Design and implement lakehouse and data warehouse architectures that improve data accessibility, governance, and performance. - Collaborate with client stakeholders to gather requirements, translate business needs into technical solutions, and deliver high-quality data engineering outcomes. - Develop robust ELT/ETL processes, data models, orchestration workflows, and data quality frameworks. - Enable AI and advanced analytics by creating trusted, scalable data foundat