Bachelors degree in Computer Science Information Systems Engineering or a related field
Proven platform administration experience of cloud based data and analytics infrastructure
Significant hands on experience managing and optimizing Databricks environments including cluster administration workspace management and platform integrations
Deep working knowledge of AWS data and analytics services eg EC2 S3 IAM Glue Lambda encompassing deployment security and resource management
Proven experience deploying and managing cloud platforms using infrastructure as code tools eg Terraform CloudFormation
Demonstrated experience working within an agile scrum delivery model collaborating within cross functional teams to deliver platform improvements and solutions
Strong capability to diagnose and resolve technical issues in Databricks and AWS ability to communicate solutions clearly
Strong knowledge of FinOps for cloud cost optimization
Understanding of data privacy audit requirements and regulatory compliance eg GDPR HIPAA in cloud platforms
Experience supporting cross functional teams in delivering analytics outcomes
Experience working in the pharmaceutical biotech or healthcare industry
Experience working within a commercial domain
Understanding of datalake lakehouse and medallion architecture concepts
Certifications in AWS or Databricks platform administration
Experience supporting agentic platforms or frameworks such as platforms for autonomous AI agents orchestration frameworks or multi agent systems
Advanced knowledge of Databricks security workspace orchestration and performance optimization
Experience supporting large scale analytics or AI workloads in an enterprise cloud environment
Prior involvement in platform migrations or scaling advanced analytics capabilities within global organizations
Experience working within an MLOps team supporting the deployment monitoring and operationalization of machine learning models in production environments
Working knowledge of ML frameworks libraries and technologies eg TensorFlow PyTorch scikit learn XGBoost MLflow