Principal Data & Platform Engineer

NVIDIA's DGX Cloud organization is looking for a lead expert in data and platform engineering to guide the building, creation, and management of the DGXC Data Platform.

The Principal Data & Platform Engineer will transform complex operational needs into reliable platform services and shared datasets.

Responsibilities:

• Define the architecture and multiyear technical roadmap, setting system boundaries, shared interfaces, and engineering standards across ingestion, processing, storage, and data serving.
• Lead delivery across platform engineers, data producers, and consumers.
• Build and operate reusable batch and streaming ingestion capabilities for service provider and internal data.
• Establish shared identifiers, data contracts, consistent modeling, and automated quality and certification capabilities.
• Guide cataloging, lineage, and governed access capabilities.
• Make onboarding and operations repeatable through shared libraries, reference implementations, deployment automation, and self-service workflows.
• Own production readiness and reliability standards.
• Mentor senior engineers and technical leads.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• More than 16 years of progressively responsible experience developing and operating production software, data platforms, databases, or distributed systems.
• Extensive hands-on experience with distributed data processing, analytical databases, production ETL, streaming systems, or backend platforms.
• Strong software engineering fundamentals and production proficiency in Python or another backend or systems language.
• Deep SQL and data modeling expertise.
• Experience establishing production practices adopted by multiple teams.

Nice to have:

• Extensive experience developing and managing Databricks, Apache Spark, PySpark, Spark SQL, Delta Lake, or Unity Catalog platforms.
• Experience delivering self-service data publishing, cataloging, lineage, data contracts, or certification systems.
• Experience combining operational data from various cloud providers and internal systems.
• Experience designing and operating Kafka or comparable streaming systems.
• Experience enabling AI agents to discover and use governed data.