Develop up-to-date 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 up-to-date 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.