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.
Skills Required
MLops, cloud hosting , Azure, Databricks, cic, Pyspark