HPC Data Management Engineer

Payrate: $58.00 - $58.10/hr
 
Summary
The HPC Storage & Data Management Engineer is a dedicated infrastructure specialist responsible for the design, administration, and ongoing optimization of storage environments within company's enterprise-scale, AWS-based HPC platform. This role exists within ADT but operates in close collaboration with the Digital Technology (DT) team in storage operations and data lifecycle management. The engineer serves approximately 1,500 global users supporting engineering simulation workloads across Gas Power and broader business units.
 
Responsibilities:

• Storage Architecture & Optimization

• Quota & Capacity Management

• Administer and enforce per-user and per-project storage quotas; monitor utilization trends across the user base and provide capacity forecasting inputs to the HPC Principal Engineer and DT team.

• Dual-Protocol File Permission Management

• Manage file permissions and access control lists (ACLs) across multi-protocol (NFS/SMB) environments, ensuring consistent access governance for both Linux HPC and Windows VDI users.

• Cost Visibility & Reporting

• Contribute to storage cost benchmarking and reporting, providing data-driven insight into storage spend within the AWS environment.

• Data Lifecycle Management

• Define and enforce data lifecycle policies governing the progression of data through active, scratch, cold, and archive states; implement and maintain automated tiering and expiration workflows.

• Archiving & Retention Strategy

• Lead the definition and implementation of an engineering simulation data archival standard; ensure alignment with the broader engineering simulation data retention strategy.

• Collaborative Storage Governance

• Partner with DT to define and maintain collaborative team and project folder structures; establish and communicate standard work for shared HPC storage use.

• AI Readiness Enablement

• Support the organization's initiative to define engineering simulation data standards that ensure data is structured and accessible for AI/ML workloads.

• Demonstrated ability to develop and document standard operating procedures
• Experience in HPC storage administration in a prod
• Experience with quota management systems and storage capacity planning
• Expertise in high performance parallel/distributed file systems (e.g., Lustre, GPFS/IBM Spectrum Scale, BeeGFS, WekaIO, or similar)
• Proficiency in storage tiering, data lifecycle management, and archival tooling
• Solid Linux systems administration skills
• Strong experience with NFS and SMB/CIFS dual permission/ACL management']
• Experience in an AWS or cloud hybrid storage environment (S3, FSx for Lustre, EFS)
• Experience working within a DevOps or collaborative Infrastructure as Code model
• Familiarity with engineering simulation data (CFD, FEA, or similar) and associated file size/storage patterns
• Familiarity with Slurm job scheduler in the context of scratch and burst storage

 
Pay Transparency: The typical base pay for this role across the U.S. is: $58.00 - $58.10/hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 

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