Senior Enterprise Info Mgmt Platform Admin

Stanford Health Care

Base: $66.52 - $88.14 ph; bonus/equity: not specif...
**
Databricks on azure administration
Cloud infrastructure management
Devops and secops practices
** Stanford Health Care is seeking a Senior Enterprise Information Management Platform Administrator to oversee the administration, monitoring, and support of their cloud-based EIM platform, primarily utilizing Azure Databricks. The role emphasizes automation, data operations, and collaboration across teams to ensure data integrity and compliance within the healthcare sector. **

Job Summary

  • This role will primarily focus on highly automated processes of administration, monitoring, and support of the Enterprise Information Management (EIM) platform (currently Databricks on Azure with mesh connections to GCP and AWS).
  • You will work closely with various teams to facilitate the innovation process while ensuring data integrity, security, and compliance.
  • Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families.

Matching Summary

Match Score: 75

** Stanford Health Care is seeking a Senior Enterprise Information Management Platform Administrator to oversee the administration, monitoring, and support of their cloud-based EIM platform, primarily utilizing Azure Databricks. The role emphasizes automation, data operations, and collaboration across teams to ensure data integrity and compliance within the healthcare sector. **

Salary

Base: $66.52 - $88.14 per hour; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Databricks on Azure administration
  • Cloud infrastructure management
  • DevOps and SecOps practices
  • Data pipeline design and implementation
  • Security and compliance management
  • Infrastructure-as-Code tools

Nice-to-have

  • Systems thinking approach
  • AI/LLM model integration
  • Cross-functional collaboration
  • Mentoring team members

Key Requirements

  • BS/BA degree in a related field
  • 4+ years of experience as Cloud Engineer or Data Engineer
  • Azure and/or Databricks certifications
  • Proficiency in Python, PySpark, SQL, R, Scala

Work Rights

Not specified

Tailored Resume

Cover Letter