Senior Software Engineer, Data Platform

NVIDIA; Santa Clara (CA); On-site; USD 168,000 - 322,000; Full time

Job summary

NVIDIA Operations in Santa Clara, CA seeks an experienced System Data Architect to build data platforms, ETL tools, and analytics capabilities that turn raw data into actionable insights. You will lead data strategy, develop scalable ETL pipelines, and own data transformation tools used in AI/ML across diverse data sources and systems.

The role emphasizes Python-based data processing, Spark workflows, and data lake design on AWS/Cloud, with collaboration across semiconductor and server

Qualifications

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

Responsibilities

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

Skills

Python programming

ETL/data transformation

Data modeling

Project leadership

Cloud data platforms

Education

Bachelor's degree in Computer Science or Information Systems

Master's degree in Computer Science or Information Systems

Tools

Spark

SQL

AWS/Cloud

Kubernetes

Docker

Terraform

Tableau

PowerBI

Jupyter Notebooks

Parquet

Protobuf

Schema evolution

Job description

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

What you'll be doing:

• Leading and planning with team members and IT to identify and implement the right data strategy, given data sources, data locations, and use cases. We work on data tools used in testing of semiconductor chips, boards, systems, and servers. We develop in house suite of tools that work from the ground up. Processing logs into data platforms, analytics and custom visualizations for large scale data analysis.
• Build, scale, and optimize self-serve ETL frameworks, streaming pipelines to handle data storage and real-time analytics
• Design and implement framework modules to extract data from various source systems, validate the integrity, apply business transformation, and store data in a Data Lake (AWS, Azure, others)
• Enable a self-service and Machine Learning platform for individual business units
• Take ownership of data platform and transformation tools used in AI&ML

What we need to see:

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

Ways to stand out from the crowd:

• Self-starter, positive problem-solving outlook, ability to multi-task, and demonstrate strong organization skills
• Working knowledge of Amazon Web Services, Kubernetes, Docker, Terraform
• Experience with structured data such as Parquet, Protobuf, and concepts like schema evolution
• Background with semi structured log parsing
• Experience with SAP systems integration, Datamart, Business objects as well as experience with visualization tools like Tableau, PowerBI, Jupyter Notebooks

With competitive salaries and a generous benefits package, we are considered to be the technology industry's best employers. If you are a creative engineering leader with a real passion for technology, we want to hear from you. Come build the future with us!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 14, 2026. This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.