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About the role
Develop modern data solutions and architecture for cloud-native data platforms. Build cost-effective infrastructure in Databricks and orchestrate workflows using Databricks/ADF. Lead data strategy sessions focused on scalability, performance, and flexibility. Build CI/CD pipelines for Databricks in Azure DevOps. Collaborate with customers to implement solutions for data modernization. Create training plans and learning materials to upskill VM associates. Develop industry-specific and domain-oriented solutions for customer data needs. Build a smart operations framework for DataOps and MLOps. Requirements 12+ years of experience with at least 4+ years as a solution architect with AWS or Azure. Experience with Databricks, PySpark, and modern data platforms. Proficiency in cloud-native architecture and data governance. Strong experience in migrating from on-premises to cloud solutions (Spark, Hadoop to Databricks). Understanding of Agile/Scrum methodologies. Experience in P&C insurance is an advantage.
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