# Principal Data & Platform Engineer

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Salary**: 248,000 USD – 391,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Data-and-Platform-Engineer--DGX-Cloud_JR2028938?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/principal-data-and-platform-engineer-4d0b24ff-8dc/

## Description

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.

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## Skills

### Required
- Python
- SQL
- Databricks
- Spark
- distributed data processing
- analytical databases
- production ETL
- streaming systems

### Nice to have
- Apache Spark
- PySpark
- Spark SQL
- Delta Lake
- Unity Catalog
- Kafka

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Data-and-Platform-Engineer--DGX-Cloud_JR2028938?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)