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:
- 8-12 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 contemporary 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

Preferred Skills:
- Azure/AWS, DataBricks, Pyspark, SQL,
- Data Architecture, ETL/ELT, No-SQL database,
- Data Pipeline Orchestration (Airflow/Steps Functions), CI/CD and DevOps tools experience
- Team and client management experience
- Project Delivery Expertise
- Ability to work collab

📌 Senior Consultant- Data Engineering (Hyderabad)
🏢 CHRYSELYS
📍 Hyderabad