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

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

📌 Sr Solution Architect Ii Databricks Maharashtra
🏢 CitiusTech
📍 Maharashtra