Senior Data Platform Admin - Finance

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is encouraged to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is hiring a senior data platform administrator within the Finance AI and Data Science team. You will work alongside data scientists, data engineers, AI developers, finance, IT, and other business partners, delivering the latest data security, system administration, and data onboarding for the finance data lake. Your work will result in data that flows seamlessly from ERP and other source systems into business-critical financial processes, reporting, BI, ML, and AI.

What you’ll be doing:

• Optimize the finance Databricks environment, including implementation and maintenance of access control systems and security protocols. Coordinate with technical and business partners to build finance data platform into the broader Nvidia systems architecture and finance landscape.

• Administer cloud infrastructure on AWS and Azure. Work closely with AI developers to containerize, deploy, maintain, and monitor AI solutions and other Kubernetes clusters.

• Establish backup and recovery procedures for critical data systems. Create and maintain clear, accessible documentation of architecture and procedures.

• Monitor platforms for security vulnerabilities, performance issues, and cost optimization.

• Partner with data architects, data engineers, and data scientists, and finance professionals on building the perfect data system for the AI age.

What we need to see:

• 8+ years of experience in data platform administration.

• BS/MS or equivalent experience in Computer Science, Information Systems, Software Engineering, or other technical fields. Technical Master’s with finance or business background is preferred.

• Expertise in PySpark, SparkSQL, and Linux shell scripting. Data engineering knowledge, particularly with Delta Lake, Parquet, and other formats (JSON, XML, CSV, Avro).

• Familiarity with access control methodologies (DAC, RBAC, UBAC). Expertise in network security protocols and encryption.

• Excellent communication skills for translating technical concepts to various audiences.

Ways to stand out from the crowd:

• Databricks, AWS, and Azure certifications and hands-on experience.

• Experience with data compliance regulations and requirements, including PII data handling and ITGC/SOX controls.

• Proven history of developing and improving security monitoring frameworks. Experience recovering systems from significant incidents is a plus.

• Teaching or mentoring experience in technical domains, enthusiasm for exploring and implementing new technologies, and creative problem-solving skills.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, ambitious and enjoy having fun, then what are you waiting for apply today!

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 - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.Applications for this job will be accepted at least until September 13, 2025.

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.