Description

Manage and optimize Databricks environments, including cluster administration, workspace management, and AWS data services deployment.

This role is on-site.

Responsibilities

• Deploy and manage cloud platforms using infrastructure-as-code tools like Terraform and CloudFormation.
• Administer AWS data and analytics services, handling deployment security, resource management, and IAM policies.
• Diagnose and resolve technical issues in Databricks and AWS environments to ensure platform stability.
• Support cross-functional teams in delivering analytics outcomes and operationalizing ML models in production.
• Implement cloud cost optimization strategies using FinOps principles and ensure regulatory compliance.

Required Skills

• 5+ years of experience with Databricks, AWS, Terraform, CloudFormation, EC2, S3, IAM, Glue, Lambda.
• Strong understanding of MLOps and deploying machine learning models in production.
• Experience with cloud cost optimization (FinOps) and data privacy audit requirements.
• Knowledge of regulatory compliance standards such as GDPR, HIPAA, or pharmaceutical/biotech/healthcare industry experience.
• Familiarity with medallion architecture, lakehouse designs, and platform migrations.
• Experience with ML frameworks including TensorFlow, PyTorch, scikit-learn, XGBoost, and MLflow.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

Preferred Skills

• AWS or Databricks certifications.
• Experience with agentic platforms, multi-agent systems, or advanced Databricks security and performance optimization.

Key Skills

Education

Any Graduate