This role pays more than
56%
of similar roles. Most pay
$151,000–$214,000
— the shaded band above.
At the midpoint, this role pays about
$182k
versus about
$182k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1048 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 834 roles with salary data.
The Senior Data and Platform Engineer joins the DGX Cloud data team to build a reliable foundation for fleet health, capacity, utilization, cost, and operational decision-making. This role involves developing systems that transform distributed infrastructure telemetry into governed data products while managing ingestion, transformation, data quality, and platform architecture. You will construct batch and streaming pipelines, develop shared libraries, and create paved-road patterns to improve team speed and safety. The position requires expertise in Python, SQL, Spark, and distributed data processing. Key responsibilities include designing data contracts, ensuring security through least privilege, and building for idempotency and schema evolution. Candidates should possess experience with relational databases, cloud platforms, and potentially Databricks or Kafka. This role solves the complex problem of managing large GPU fleets across various providers by creating a dependable source of truth.
Azure
Databricks
Python
SQL
Spark
Azure Data Factory
Data Lake
Synapse Analytics
Azure Functions
ETL
Big Data
NoSQL
Hadoop
Distributed Computing
Data Modeling
Data Governance
DevOps
Real-Time Processing