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.
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.Skills Required
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent experience
- 7+ years of relevant software engineering experience
- Programming knowledge, including Python and database architectures
- Experience defining and leading projects, collecting requirements, setting timelines, and delivering results
- Experience architecting, designing, developing, and maintaining data warehouses and data lakes for complex data ecosystems
- Strong Python experience focused on data extraction and transformation
- In-depth experience building ETL pipelines using Spark, SQL, and AWS or cloud platforms
- Understanding of operational processes involving semiconductors, boards, systems, and servers
- Working knowledge of AWS, Kubernetes, Docker, and Terraform
- Experience with structured data formats such as Parquet and Protobuf, including schema evolution
- Experience parsing semi-structured logs
- Experience integrating SAP systems, Datamart, and BusinessObjects
- Experience with Tableau, Power BI, or Jupyter Notebooks
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
