Azure Databricks Architect - Cloud Data

• 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.