Role Overview :

Key Responsibilities and Core Competencies :

- You will be responsible for architecting the solutions primarily based on Databricks (AWS/ Azure or other cloud platform) for different pharma clients.

- Responsible for client interaction and act as a thought partner; understanding the business requirements, suggesting the best features of the tool, development, quality assurance by following the best practices.

- Collaborative way of working with clients, onshore and offshore teams.

- Leading a team by providing them guidance, resolving their technical and business-related problems etc.

- Provide expert-level advice and technical mentorship on best practices for data pipelines, data lakes, and analytics in the Databricks environment.

- Optimize the cloud-based applications to improve the efficiency, reducing the efforts, cost and increase business value.

What You Bring:

- 8 to 12 years of expertise in architect, design and implement scalable, secure, and high-performance data platforms using Azure and Databricks.

- Go-to expert on Azure Data Services and Databricks platform architecture.

- Support DevOps, CI/CD, and monitoring practices for data workloads.

- Design and implement POCs of modern data architecture patterns (e.g., Lakehouse, Delta Lake, medallion architecture).

- Good in communication to lead meetings with client's architecture and platform team.

- Design real time and batch processing pipelines (including API integration).

- Setting up self-serve layer for different user personas.

- Able to learn and perform a quick POCs on Databricks new offerings.

- Design the ETL/ELT, data lake applications.

- Domain - Good Pharma domain knowledge, mainly for commercial use cases.