IT Data Center Physical Infrastructure Planner

Under moderate supervision by the IT Data Center Planning Analyst III, perform data center physical infrastructure planning and design activities in the data center for equipment placement inside of the data center. The planner will design the physical location for the compute and storage infrastructure based on the strategy for row, cabinet, and U placement within the cabinet. The planner will evaluate and design based on the available power capabilities in the cabinet, cooling needs for equipment, network port needs, cabling infrastructure, and alignment to the strategy and structured cabling infrastructure. The planner communicates with both the facilities team installing the physical equipment and the hardware owners of the physical equipment to understand and validate the needs for network, power, and cooling in the design for equipment placement in the data center. The planner is to leverage the DCIM tool, Nlyte, for planning, asset inventory management and interface details., Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

1. Complete planning of complex device installations within the data center, considering standard business practices and established processes.
2. Assist in planning of data center layouts, cabling infrastructure, and power distribution to support stability, flexibility, and resiliency within the data center environment.
3. Demonstrate full understanding and knowledge of IT departmental responsibilities, change management, problem determination/resolution, and resource allocation.
4. Provide support and oversight as required for the IT Data Center Security Policy and IT Architecture.
5. Provide collaboration with Data Center Services teammates and other technology teams in support of corporate objectives, project goals and initiatives.
6. Demonstrate strong Project Management skills in order to support project activity coordination for the Data Center Services Team.
7. Develop and maintain documentation for supported IT Enterprise Infrastructure to include updates and support of Data Center Infrastructure Management (DCIM).
8. Retain ongoing knowledge of facilities management and technology within the supported IT Enterprise Infrastructure.

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Bachelor’s degree in Computer Science, Engineering, Information Systems, a related field, or equivalent education, related training, and work-related experience.
2. Minimum of 3 years of professional experience in infrastructure engineering
3. Understanding of enterprise infrastructure technologies including cloud, network, database, storage, platform, computing, and middleware, 1. Bachelor’s degree and ten years of experience or an equivalent combination of education and work experience.
4. Banking or financial services experience.
5. Extensive working knowledge of ServiceNow platform especially CMDB
6. Strong understanding of structured cabling standards and best practices including BICSI RCDD certification or equivalent
7. A demonstrated understanding of applied enterprise computing technology
8. Knowledge of data flow, mainframe/client server software, problem analysis and performance enhancement
9. A demonstrated understanding of project management
10. A demonstrated understanding of network interfaces and technologies
11. A demonstrated understanding of infrastructure cabling concepts and best practices
12. A demonstrated understanding of blade server technology and concepts
13. A demonstrated understanding of Data Center Infrastructure management tools (DCIM) including Nlyte software.
14. Communication - Excellent written and verbal communication skills for planning and troubleshooting with diverse teams and stakeholders.
15. Collaboration - Experience working effectively with engineering, operations, business teams, and vendors.
16. Problem-Solving - Strong analytical and problem-solving skills to make data-driven decisions under uncertainty.