Join a World-Class Operations Team at NVIDIA! Our success is driven by cutting-edge advancements in AI integration and autonomous operations, setting new standards in supply chain management. We are committed to sustainability and resource stewardship, ensuring responsible practices that align with our business goals. Be part of a team that's shaping the future!
Our team is seeking an experienced Data Specialist with a track record of turning complex, multi‑source data into trusted, actionable insights. This person will be an expert in modern data platforms (Databricks/Lakehouse), SQL/Python, and end‑to‑end pipelines from ingestion to analytics. Being adept at data governance, quality, and metadata management is necessary to enable self‑service and AI/advanced analytics. You will partner with business and engineering teams, driving measurable impact in operations and decision‑making.
What you'll be doing:
Design intuitive data models and semantic layers to enable self‑service and AI apps reducing ad‑hoc query friction for business users.
Enrich data products with business glossary and metadata to reduce AI hallucinations, improve user adoption, searchability and governance.
Lead multi‑site integrations across new manufacturing plants and ops applications standardizing schemas and controls; enabling cross‑plant insights.
Engineer scalable pipelines with data integrity functions and audit features. Automate measuring and monitoring data quality for improved decision making.
Explain the data designs, system changes, enhancements, address any questions or issues effectively to the stakeholders.
Partner with stakeholders, solve business problems, train users, help with data and queries.
Optimize Lakehouse systems to deliver high performing solutions while controlling operational costs.
What we need to see:
BS, MS, or PhD in EE/CS or related field of education (or equivalent experience).
5+ years of programming experience (Python, PySpark, SQL, etc.).
5+ years of experience with big data technologies and cloud platforms (AWS, Databricks, Snowflake).
12+ overall years in Data Warehousing, implementing projects with data Lakehouse solutions.
Experience with enterprise BI databases like SAP BW/HANA, ERP/CRM systems like SAP/Salesforce, planning applications like IBP, APO etc.
Knowledge of operational processes in chips, boards, systems, and networking.
Proficiency in Tableau, PowerBI, and SAP reporting applications.
Ways to stand out from the crowd:
Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy.
Highly independent, able to lead key technical decisions, influence project roadmap and work effectively with team members
Proven experience leading multiple analytics projects in a dynamic, fast-paced environment
Data science, AI/ML experience
Positive interpersonal skills with ability to convey good verbal and written communication
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technological world’s most desirable employers. We have some of the most experienced and talented individuals in the world working for us. Are you creative and autonomous, with a genuine passion for technology? We want to hear from you!
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 - 258,750 USD.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 a diverse 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.Similar Jobs
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.”
