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As a Senior Solutions Architect - Databricks, you will design and build scalable Azure-based data platforms, delivering healthcare provider analytics and operational data solutions using Databricks, Python, and up-to-date Cloud engineering practices. Responsibilities Design, develop, and optimize scalable data pipelines on Azure Cloud. Build solutions using Azure Data Lake Gen2 and Azure Databricks. Implement robust ETL/ELT workflows and data transformation frameworks. Orchestrate enterprise data workloads using Apache Airflow. Apply dimensional modeling and data warehousing best practices. Develop reusable Python-based data engineering components. Build and maintain CI/CD pipelines for automated deployments. Implement automated testing, monitoring, and ing frameworks. Ensure high levels of data quality, reliability, scalability, and performance. Collaborate with business, analytics, and architecture teams. Translate business requirements into scalable engineering solutions. Work extensively on EHR/EMR datasets and healthcare data models. Leverage US Healthcare Provider domain knowledge to support clinical and operational analytics. Participate in design reviews, performance optimization, and technical mentoring. Experience 12 15 Years Location Bangalore Hyderabad Chennai Mumbai Pune Educational Qualifications Engineering Degree BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Skills Mandatory Technical Skills: Python Data Warehousing ETL/ELT Development US Healthcare Provider Domain Valuable to Have Skills: Azure Data Factory Delta lake Spark Optimization DevOps Practices Healthcare Interoperability Standards .