- 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 up-to-date 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.