CMMS Engineer - Data Center InfraOps | 20% Travel

Amazon; Lithia Springs (GA); On-site; USD 96,000 - 166,000; Full time

Job summary

Amazon USA is seeking a CMMS Engineer to lead asset data management and deploy the EAM platform across data center regions. You will own data collection, maintenance scheduling, and reporting within CMMS, collaborating with cross-disciplinary teams to implement scalable solutions.

The role requires experience in data centers, process improvement, and data quality governance, with opportunities to train staff and drive global standards. Willingness to travel up to 20% is expected.

Qualifications

• 3+ years of CMMS experience.
• 3+ years of data center or other critical environment experience.
• 5+ years of Microsoft Office including Outlook, Word, and Excel experience.
• Experience in requirement gathering and ability to write clear and detailed requirement documents.
• Experience in a data center or other critical environment.

Responsibilities

• The CMMS Engineer will be responsible for setup and maintaining site asset data through Hexagon EAM.
• The engineer will work within the data centers to ensure that asset details are captured to match the digital record.
• They will work with corresponding teams to align and schedule maintenance within the CMMS application.
• The engineer will proactively perform routine data scrubs, identify and correct any anomalies, while continuously looking for ways to automate and enhance processes.
• They will also plan and conduct training and workshop sessions for large audiences within the organization.

Skills

CMMS

Data center

MS Office

Requirement gathering

Data integrity

Education

Bachelor's degree in Electrical/related field

Tools

SQL

Programming

Job description

Amazon USA is seeking a CMMS Engineer to lead asset data management and deploy the EAM platform across data center regions. You will own data collection, maintenance scheduling, and reporting within CMMS, collaborating with cross-disciplinary teams to implement scalable solutions.

The role requires experience in data centers, process improvement, and data quality governance, with opportunities to train staff and drive global standards. Willingness to travel up to 20% is expected.