Principal Data and Asset Management Engineer

NVIDIA has pioneered visual computing for over two decades and is seeking a Principal Data and Asset Management Engineer. This role involves leading the design and evolution of NVIDIA’s enterprise asset management and CMDB platforms, ensuring data accuracy and availability while collaborating across teams.

Responsibilities:

• Architect and lead the design of enterprise-scale CMDB and asset management systems, defining authoritative data models for infrastructure, software, services, and their relationships across the lifecycle
• Own the data architecture and integration strategy for asset and configuration data, spanning discovery systems, provisioning tools, cloud platforms, monitoring systems, and internal services
• Design, build, and maintain robust ETL/ELT pipelines that ingest, normalize, validate, and reconcile asset data from many heterogeneous sources
• Establish and enforce data quality standards, including validation rules, reconciliation logic, lineage, and auditing to ensure CMDB accuracy and trustworthiness
• Build and evolve highly reliable APIs and data services that enable engineers, IT, and business systems to query and manage asset and configuration data at scale
• Develop automation for asset lifecycle management (onboarding, change, decommissioning), dependency tracking, and impact analysis
• Partner closely with infrastructure, SRE, IT, security, and finance teams to ensure CMDB data supports operational workflows, compliance, capacity planning, and cost attribution
• Provide technical leadership and mentorship, influencing best practices in data engineering, system design, and operational excellence across the organization. Drive technical roadmap decisions, evaluate technologies, and lead complex initiatives from design through production

Requirements:

• Bachelor's degree or equivalent experience
• 15+ Years of Software engineering experience, with a proven track record of designing and owning complex, long-lived systems
• Deep experience building data-intensive backend systems, including ETL pipelines, data services, and production APIs
• Strong expertise in Python (and/or Go) for data pipelines, automation, and service development
• Hands-on experience with CMDBs, asset inventory systems, or large-scale metadata platforms, including schema design and relationship modeling
• Experience implementing data validation, reconciliation, and monitoring in production environments
• Solid understanding of CI/CD, containerized deployments, Kubernetes, and cloud platforms (e.g., AWS)
• Experience working with relational and/or NoSQL databases and designing scalable data models
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders
• Experience designing or operating a centralized CMDB as a system of record for infrastructure and services
• Familiarity with discovery tooling, event-driven updates, or near-real-time asset synchronization
• Experience with data governance, lineage, access control, and compliance in enterprise environments
• Background in FinOps, capacity planning, or operational analytics powered by asset data
• Experience influencing architecture and standards across multiple teams or organizations