below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$151,000–$213,400.
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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Senior Data and Platform Engineer joins the DGX Cloud organization to build shared data infrastructure that transforms infrastructure telemetry and operational data into trustworthy data products. You will define the technical vision, architecture, and growth for data platforms supporting fleet condition, capacity management, utilization tracking, cost oversight, and reliability for large GPU fleets. Responsibilities include architecting batch and streaming systems, building shared platform capabilities like workflow abstractions and deployment tooling, and leading production investigations across pipelines, query engines, and distributed processing. You must possess deep experience with distributed processing, analytical or relational databases, production ETL, change-data capture, and backend systems. Required skills include strong SQL, data modeling, and proficiency in backend languages to manage large data volumes while ensuring security, performance, and cost-effective scalability across cloud environments.
Define and guide the technical vision, architecture, and growth for key DGX Cloud Data Platform domains.
Architect and evolve batch and streaming systems to ingest and serve fleet, capacity, and cost telemetry at scale.
Build shared platform capabilities including libraries, workflow abstractions, and deployment tooling to improve delivery speed.
Lead technical delivery of complex, cross-team initiatives by transforming requirements into well-defined architectures and code.
Serve as the technical lead for high-impact production investigations across pipelines, query engines, and distributed processing systems.
Establish engineering standards for automated testing, data quality, lineage, observability, and secure service identities.
Develop robust data models, semantics, and serving interfaces to provide trusted data via tables and APIs.
Provide technical leadership through architecture reviews and hands-on mentorship of senior engineers.
What we're looking for
8+ years of relevant industry experience.
Bachelor’s degree or equivalent experience, and a Master’s degree or equivalent experience in Computer Science, Engineering, or a related field.
Sustained record of personally crafting, implementing, and operating production software, data platforms, databases, or distributed systems.
Deep hands-on work with distributed processing, analytical or relational databases, production ETL, change-data capture, streaming, or backend and cloud systems.
Production proficiency in a backend or systems language with experience using data-processing and platform libraries to build reliable systems.
Strong SQL and data-modeling skills including query execution, incremental processing, schema evolution, and cross-system correctness.
Demonstrated skill in diagnosing failures by analyzing logs, metrics, traces, query plans, and profiles.
Experience with distributed data processing and lakehouse architectures (preferred).