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 modern 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

📌 Sr Solution Architect - II_Databricks (Pune)
🏢 CitiusTech
📍 Pune