Strategic Enterprise Storage Architect

Fairygodboss; Pittsburgh (Allegheny County); On-site; USD 112,000 - 229,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) with match

Paid time off

Job summary

PNC is seeking an experienced Enterprise Engineer specializing in Storage Capacity Management to design, optimize, and manage enterprise storage environments across on-prem and cloud platforms. The role focuses on forecasting capacity needs, high availability, and cost-efficient storage solutions.

The position collaborates with infrastructure, applications, and architecture teams to ensure data governance and regulatory compliance while driving performance and scalability across multiple data

Qualifications

• 8+ years of industry relevant experience.
• Bachelor's degree in a related field.
• Knowledge of SAN/NAS protocols (FC, iSCSI, NFS, SMB).
• Experience with monitoring tools such as Pure1 Manage, vROps, Turbonomic, Dynatrace, Prometheus, Grafana.

Responsibilities

• Manage enterprise storage platforms (e.g., Dell EMC, NetApp, Pure Storage, HPE).
• Ensure performance, reliability, and scalability of storage infrastructure.
• Participate in lifecycle management (procurement, upgrades, decommissioning).
• Optimize compute, storage, and network utilization across converged systems.
• Design performance tests and identify capacity bottlenecks.

Skills

Enterprise storage engineering

Capacity planning

Performance analysis

Monitoring tools usage

SAN/NAS protocols

Education

Bachelor's degree

Tools

NetApp

Dell EMC

Pure Storage

HPE

vROps

Dynatrace

Job description

PNC is seeking an experienced Enterprise Engineer specializing in Storage Capacity Management to design, optimize, and manage enterprise storage environments across on-prem and cloud platforms. The role focuses on forecasting capacity needs, high availability, and cost-efficient storage solutions.

The position collaborates with infrastructure, applications, and architecture teams to ensure data governance and regulatory compliance while driving performance and scalability across multiple data