Description

Key Skills: Databricks, AWS, Terraform, CloudFormation, EC2, S3, IAM, Glue, Lambda, MLOps

Good to Have Skills: FinOps for cloud cost optimization, data privacy and audit requirements, regulatory compliance (GDPR, HIPAA), pharmaceutical/biotech/healthcare industry experience, commercial domain experience, datalake/lakehouse and medallion architecture, AWS or Databricks certifications, agentic platforms or frameworks, multi-agent systems, advanced Databricks security and performance optimization, large-scale analytics or AI workloads, platform migrations, ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost, MLflow)

Roles & Responsibilities:

• Manage and optimize Databricks environments including cluster administration and workspace management
• Deploy and manage cloud platforms using infrastructure-as-code tools like Terraform and CloudFormation
• Administer AWS data and analytics services encompassing deployment security and resource management
• Collaborate within cross-functional teams using agile scrum delivery model to deliver platform improvements
• Diagnose and resolve technical issues in Databricks and AWS environments effectively
• Support cross-functional teams in delivering analytics outcomes and platform integrations
• Implement cloud cost optimization strategies using FinOps principles and best practices
• Ensure data privacy audit requirements and regulatory compliance in cloud platforms
• Support deployment monitoring and operationalization of machine learning models in production environments

Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field

Key Skills

Education

Any Graduate