Incident Response and Troubleshooting
Monitor system health respond to platform issues and resolve service incidents collaborating with IT and vendor support as needed.
Integration and Automation
Support deployments and integrations of data pipelines between Databricks AWS and other systems and automate routine platform administration tasks.
Security and Compliance
Enforce AstraZenecas security protocols and regulatory requirements conduct platform monitoring and support internal and
Essential Requirements
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 including EC2 S3 IAM Glue and Lambda encompassing deployment security and resource management.
Proven experience deploying and managing cloud platforms using infrastructure as code tools such as Terraform or CloudFormation.
Demonstrated experience working within an agile or 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 with the ability to communicate solutions clearly.
Desirable Requirements
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.
learning frameworks libraries and technologies such as TensorFlow PyTorch scikit learn XGBoost and MLflow.
Incident Response and TroubleshootingMonitor system health respond to platform issues and resolve service incidents collaborating with IT and vendor support as needed.Integration and AutomationSupport deployments and integrations of data pipelines between Databricks AWS and other systems and automat...
Incident Response and Troubleshooting
Monitor system health respond to platform issues and resolve service incidents collaborating with IT and vendor support as needed.
Integration and Automation
Support deployments and integrations of data pipelines between Databricks AWS and other systems and automate routine platform administration tasks.
Security and Compliance
Enforce AstraZenecas security protocols and regulatory requirements conduct platform monitoring and support internal and
Essential Requirements
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 including EC2 S3 IAM Glue and Lambda encompassing deployment security and resource management.
Proven experience deploying and managing cloud platforms using infrastructure as code tools such as Terraform or CloudFormation.
Demonstrated experience working within an agile or 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 with the ability to communicate solutions clearly.
Desirable Requirements
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.
learning frameworks libraries and technologies such as TensorFlow PyTorch scikit learn XGBoost and MLflow.
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