Principal Platform Engineer

Mayo Clinic • Rochester, MN

1d

About The Position

Reporting to the Mayo Clinic Platform (MCP) Director of Technology, the Principal Platform Engineer will be a technical leader and implementation leader for key cloud-based Mayo Clinic Platform products. Key Responsibilities: Primarily aligned with cloud architecture and infrastructure with a focus on data engineering, data pipeline, and data analytics technology – responsible for strategy and implementation, in close partnership with the MCP Data and Analytics teams. Build and improve capabilities across a multi-cloud, Kubernetes-based architecture to support data processing, data analytical capabilities on GCP, Azure, and AWS. Drive maturity of MCP engineering systems to improve speed of delivery and operational resilience. Deep experience with cloud architecture, data pipelines/processing, cloud-based data technologies, GitOps pipelines and tooling, and Infra-as-Code systems. Foster a culture of continuous improvement by regularly reviewing and updating processes and automation according to evolving best practices. Acts as a mentor and coach for other technical team members, supporting technical growth and systems-based thinking. Define and champion comprehensive standards and best practices for CI/CD, observability, infrastructure as code, and reliability engineering across the Platform Technology team, as well as our vendor partners. Work closely with data analysts, data scientists, developers, Product Managers, Infosec, Compliance and other stakeholders to set standards, identify risks, and ensure quality is a shared responsibility. The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added or assigned.

Requirements

• Bachelor's degree in a relevant information technology field or a minimum 10 years of direct full-stack engineering with increasing complexity or 5 years in a principal engineer capacity.
• 3-5 years project management, system architecture, and design.
• 3-5 years working in diverse environments utilizing Agile principles of software development.
• Principal level experience with Hyperscale Cloud Environments and their configurations (Google preferred. AWS or Azure considered).
• Principal level experience in data engineering, data processing deployments in cloud environments
• Principal level experience in DevOps and CI/CD principles.
• Experience with enterprise information security systems and application in a public cloud environment.
• Understanding of healthcare specific considerations such as HIPAA and HITRUST strongly desired.
• Experience with cloud architecture, deployments, and management in an enterprise setting.
• Deep experience with cloud architecture, data pipelines/processing, cloud-based data technologies, GitOps pipelines and tooling, and Infra-as-Code systems.

Nice To Haves

• Experience directly delivering and supporting clinical systems.
• Experience with Interoperability standards such as HL7 and FHIR.
• Experience with solutions integration/delivery in a healthcare setting.

Responsibilities

• Aligned with cloud architecture and infrastructure with a focus on data engineering, data pipeline, and data analytics technology – responsible for strategy and implementation, in close partnership with the MCP Data and Analytics teams.
• Build and improve capabilities across a multi-cloud, Kubernetes-based architecture to support data processing, data analytical capabilities on GCP, Azure, and AWS.
• Drive maturity of MCP engineering systems to improve speed of delivery and operational resilience.
• Foster a culture of continuous improvement by regularly reviewing and updating processes and automation according to evolving best practices.
• Acts as a mentor and coach for other technical team members, supporting technical growth and systems-based thinking.
• Define and champion comprehensive standards and best practices for CI/CD, observability, infrastructure as code, and reliability engineering across the Platform Technology team, as well as our vendor partners.
• Work closely with data analysts, data scientists, developers, Product Managers, Infosec, Compliance and other stakeholders to set standards, identify risks, and ensure quality is a shared responsibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 5,001-10,000 employees