Senior Data Platform Engineer: Scale, Reliability & Observability

Devopsroles; United States; Remote; USD 200,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA’s DGX Cloud Data Platform group seeks a Senior Data Platform Engineer to build the shared data infrastructure powering decisions across engineering, operations, finance, security, and products. You will steer architecture, interfaces, and growth while prioritizing scale, reliability, and cost across cloud environments.

You’ll lead complex, multi-team implementations, write essential code, and drive secure production integrations with a focus on automation, testing, and observability.

Qualifications

• End-to-end ownership of a multi-system platform domain or cross-team initiative.
• Hands-on production software, data platforms, databases, or distributed systems experience.
• Strong SQL and data-modeling capabilities.
• Experience with backend or systems languages and data-processing libraries.

Responsibilities

• Define the technical vision and architecture for a DGX Cloud Data Platform domain, addressing scale, reliability, performance, security, and cost.
• Lead cross-team delivery, transform unclear requirements into well-defined architectures, and guide secure production integrations.
• Architect and evolve batch and streaming ingestion across environments and consumers.
• Build shared platform capabilities and tooling to improve delivery speed and reduce operational effort.
• Provide technical leadership through reviews, mentorship, and evidence-based decisions to raise engineering quality.

Skills

Distributed processing

SQL

Data modeling

Backend development

System architecture

Cloud platforms

CI/CD

Debugging

Education

Bachelor's degree

Master's degree

Tools

Apache Spark

Kafka

Airflow

Job description

NVIDIA’s DGX Cloud Data Platform group seeks a Senior Data Platform Engineer to build the shared data infrastructure powering decisions across engineering, operations, finance, security, and products. You will steer architecture, interfaces, and growth while prioritizing scale, reliability, and cost across cloud environments.

You’ll lead complex, multi-team implementations, write essential code, and drive secure production integrations with a focus on automation, testing, and observability.