Analytics Solution Engineer

A client in the medical industry is seeking an experienced Analytics Solution Engineer to join their team. This role is a blend of Data Engineering, DevOps, and Site Reliability Engineering, focused on maintaining and improving data platforms to ensure reliability, scalability, and automation.

You will work on Azure Databricks and Palantir Foundry, supporting data engineers, managing infrastructure through Terraform, and handling incidents and outages. The position involves automating manual tasks, implementing robust processes, and ensuring smooth operations across analytics platforms.

Key Responsibilities

• Maintain and improve Azure Databricks and Palantir Foundry platforms
• Automate infrastructure management using Terraform
• Handle alerts, incidents, and outages to ensure platform reliability
• Support data engineers in creating pipelines and managing artifacts (secrets, clusters, releases)
• Perform health checks, secrets management, and release processes
• Conduct GitHub peer reviews and own software lifecycle processes
• Implement DevOps practices for analytics infrastructure and process improvements
• Perform audit data analysis, data restores, backups, and manage networking/access

• Medical industry experience (essential)
• Strong knowledge of Azure Databricks, Palantir Foundry, and Azure DevOps
• Proficiency in Terraform, Git, and automation tools
• Experience with PySpark, Python, and SQL
• Familiarity with PowerBI, Azure Functions, and data streaming
• Understanding of cloud infrastructure and public cloud operations
• Excellent problem-solving and analytical skills

Additional Requirement

• Must be BPSS clearable (Baseline Personnel Security Standard) prior to starting