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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. - Robust 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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