Systems Development Manager -Cloud & Data Platfrom Engineering

Job Details

• Requisition #: 659443
• Location:
  
  Johns Hopkins Health System, Baltimore, MD 21201
• Category:
  Information Technology
• Schedule:
  
  Day Shift
• Employment Type:
  
  Full Time

Hybrid/Remote Monday-Friday, 8:30-5.

* In the office 1-2 days a month on a regular basis. Additional days for Go Lives and Special Projects.

John Hopkins Harbor East

750

E. Pratt St., 5th Floor

Baltimore, MD 21202

Johns Hopkins Medicine is strengthening its cloud and data foundations to support a growing portfolio of clinical and research systems. As the Cloud & Data Platform Manager within Health IT, you will lead the team responsible for operating the platforms that power our innovative solutions. The Manager sets the technical and operational standards that enable delivery teams to move quickly while maintaining accountability for scalability, security, and cost.

General

Position Summary:

The Cloud & Data Platform Manager is a technical leader and people manager accountable for enterprise-scale cloud and data platforms. You will manage a team of cloud engineers and an architect responsible for Azure infrastructure-as-code, Databricks, Microsoft Fabric, and Mule Soft. The team's exceptional Dev Ops standards see them evolving into a Platform Engineering Center of Excellence - establishing operational practices that raise the standard across app and data engineering teams.

This role requires strong architectural judgment and a mindset of shared ownership: seeing initiatives through to successful adoption rather than stopping at platform delivery.

Key Responsibilities:

• Lead, mentor, and manage a team of cloud engineers and an enterprise architect responsible for Health IT's core cloud and data platforms.
• Establish clear expectations for platform cost stewardship, including proactive identification of inefficiencies, tradeoffs, and opportunities to reduce waste without compromising capability.
• Own Azure subscription strategy for Health IT, including landing zone design, Terraform-based infrastructure-as-code standards, and onboarding of new resource types.
• Drive implementation of Microsoft Fabric, including configuration of domains, work spaces, policies, and operating models in partnership with Health IT Data Engineering and other IT portfolios. Design configurations that are compliant with privacy and security standards from the Johns Hopkins Medicine Institutional Review Board (IRB) and Data Trust.
• Oversee administration and evolution of the Databricks and Mule Soft platforms, with an emphasis on maintaining reliability and scalability.
• Build and mature a Platform Engineering Center of Excellence, translating team expertise into documented standards, reference architectures, and onboarding patterns. Coach application and data teams on CI/CD, Dev Ops, and infrastructure practices, providing hands-on guidance where needed to raise engineering maturity across the portfolio.
• Act as a point of escalation and accountability for platform-related issues, ensuring clear ownership, timely resolution, and effective handoff when responsibilities span multiple teams.
• Ensure platforms meet operational expectations for availability, performance, monitoring, and incident response.
• Contribute to roadmap planning, technical prioritization, and investment decisions related to cloud and data platforms.

Experience with the following is strongly preferred:

• Operating and governing Azure environments at enterprise scale, including multi-subscription strategies, landing zones, RBAC, networking, and cost management.
• Infrastructure as Code using Terraform, including module design, versioning strategies, and CI/CD integration.
• Microsoft Fabric configuration and governance, including domains, work spaces, and tenant-level considerations.
• Ownership of shared platforms used by multiple delivery teams, with experience balancing autonomy and standardization.
• CI/CD and Dev Ops practices for cloud-native platforms in complex organizations.

Experience with the following is a plus:

• Databricks administration at scale, including workspace governance, cluster policies, and security configuration.
• Fin Ops practices such as chargeback/showback, budgeting, and cost transparency for engineering…