Posted on: 25/03/2026
About Us :
Chryselys is a "Great Place to Work", Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.
We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
Who we are :
- People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.
- Quality - Our goal is to deliver the value of a big five consulting company without the big five cost.
- Technology - Our solutions are Business centric built on cloud native technologies.
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 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
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 collaboratively and providing the support to the team.
- Excellent communication skills.
- Strong analytical and problem-solving skills.
- Knowledge of AI tools and models will be a plus.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1623382