Senior Software Engineer, Data Platform

at Nvidia
📍 Santa Clara, United States
USD 168,000-322,000 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 4 Kubernetes @ 4 Terraform @ 4 Python @ 4 SQL @ 4 Spark @ 4 Tableau @ 4 ETL @ 4 Machine Learning @ 4 AWS @ 4 Azure @ 4 Parquet @ 4 Protobuf @ 4 Data Analysis @ 4 BI @ 4 Reporting @ 4 Power BI @ 4

Details

The NVIDIA Operations organization is seeking an experienced software engineering professional for the position of System Data Architect. As a member of the team you will be an integral part of building data platforms and tools to support Data Platform, Reporting, and Analytics initiatives. Your work will turn data into information leading to insights and business results.

Responsibilities

  • Lead planning with team members and IT to identify and implement appropriate data strategy given data sources, data locations, and use cases.
  • Build, scale, and optimize self-serve ETL frameworks and streaming pipelines to handle data storage and real-time analytics.
  • Design and implement framework modules to extract data from various source systems, validate integrity, apply business transformations, and store data in a Data Lake (AWS, Azure, others).
  • Process logs into data platforms, analytics, and custom visualizations for large-scale data analysis.
  • Enable a self-service and Machine Learning platform for business units.
  • Take ownership of data platform and transformation tools used in AI/ML.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or Information Systems, or equivalent experience with programming knowledge (e.g., Python, database architectures).
  • 7+ years of relevant experience.
  • Experience defining and leading projects: collecting requirements, setting timelines, and delivering results.
  • Experience architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems.
  • Strong Python experience, focused on data extraction and transformations.
  • In-depth experience crafting ETL pipelines using Spark, SQL, and cloud platforms (AWS/Cloud).
  • Solid understanding of operational processes in semiconductor chips, boards, systems, and servers.

Ways to stand out

  • Self-starter with a problem-solving outlook, ability to multi-task, and strong organization skills.
  • Working knowledge of Amazon Web Services, Kubernetes, Docker, Terraform.
  • Experience with structured data formats such as Parquet and Protobuf and concepts like schema evolution.
  • Background with semi-structured log parsing.
  • Experience with SAP systems integration, Datamart, BusinessObjects, and visualization tools such as Tableau, Power BI, and Jupyter Notebooks.

Compensation & Benefits

  • Base salary ranges (location, experience, and level dependent):
    • Level 4: 168,000 USD - 270,250 USD
    • Level 5: 200,000 USD - 322,000 USD
  • Eligible for equity and company benefits.

Additional information

  • Applications for this job will be accepted at least until January 14, 2026.
  • This posting is for an existing vacancy.
  • NVIDIA uses AI tools in its recruiting processes.
  • NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.