Senior Associate - Data Engineer (Only from Pharma/Lifescience domain)

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:

• 3-8 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.