Staff Business Systems Engineer, Data Center Systems

Weights & Biases Weights & Biases · Data AI · Sunnyvale, CA · Information Technology

This role is for a Staff Business Systems Engineer focused on evolving systems that support Data Center infrastructure operations, including asset capacity planning, hardware visibility, deployment, and lifecycle tracking. The engineer will design and maintain integrations between Supply Chain and Data Center platforms to ensure accurate asset representation. The role requires hands-on architecture, systems ownership, and continuous improvement across operational platforms, working cross-functionally to deliver scalable and reliable solutions for rapid infrastructure growth.

What you'd actually do

  1. Own the end-to-end business systems and solution architecture supporting the Data Center asset lifecycle across ERP, DCIM, CMDB, EAM, and related platforms
  2. Define and evolve asset lifecycle processes from capacity planning through deployment and retirement
  3. Design and optimize workflows supporting asset readiness, staging, configuration tracking, deployment status, and in-service visibility
  4. Define and manage data models ensuring accurate asset identity, hierarchy, and system-of-record alignment
  5. Build and maintain integrations and APIs across Supply Chain, Data Center, and Finance systems to enable automation and real-time visibility

Skills

Required

  • 8–12+ years of experience in Business Systems, Enterprise Applications, Systems Engineering, or Solutions Architecture
  • Hands-on experience with ERP systems (e.g., NetSuite, SAP, Oracle)
  • Experience with enterprise operational platforms such as DCIM (e.g., Sunbird), CMDB (e.g., ServiceNow), or similar systems
  • Proven experience designing and implementing systems that support full asset lifecycle management (procure → build → deploy → maintain → retire)
  • Experience building and maintaining integrations across ERP, inventory, logistics, and infrastructure platforms
  • Strong understanding of asset hierarchy modeling, infrastructure topology, and system-of-record design
  • Experience supporting high-scale infrastructure environments, including hardware manufacturing, assembly, or data center operations
  • Ability to define scalable system architectures and data models in complex, distributed environments
  • Experience supporting global or multi-site data center environments
  • Demonstrated ability to ensure auditability, compliance, and traceability of infrastructure assets

Nice to have

  • Experience working in high-growth or rapidly scaling infrastructure environments
  • Familiarity with asset capacity planning, WIP tracking, and inventory lifecycle systems
  • Experience driving system consolidation and standardization across multiple platforms
  • Exposure to financial systems or accounting workflows related to asset tracking

What the JD emphasized

  • end-to-end business systems and solution architecture
  • asset lifecycle management
  • high-volume deployment environments
  • auditability, compliance, and traceability