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 contemporary 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
Good to Have Skills:
- Azure Data Factory
- Delta lake
- Spark Optimization
- DevOps Practices
- Healthcare Interoperability Standards