Senior Data Platform Admin - Finance

Details

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.

You will join the Finance AI and Data Science team as a senior data platform administrator. You will work alongside data scientists, data engineers, AI developers, finance, IT, and other business partners, delivering data security, system administration, and data onboarding for the finance data lake. Your work will enable data to flow from ERP and other source systems into finance processes, reporting, BI, ML, and AI.

Responsibilities

• Optimize the finance Databricks environment, including implementation and maintenance of access control systems and security protocols. Coordinate with technical and business partners to integrate the finance data platform into 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 and create/maintain documentation of architecture and procedures.
• Monitor platforms for security vulnerabilities, performance issues, and cost optimization.
• Partner with data architects, data engineers, data scientists, and finance professionals to build data systems for AI-driven finance use cases.

Requirements

• 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 / Nice to have

• Databricks, AWS, and Azure certifications and hands-on experience.
• Experience with data compliance regulations and requirements, including PII 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.

Compensation & Benefits

• Base salary ranges provided by level:
  • Level 4: 168,000 USD - 264,500 USD
  • Level 5: 200,000 USD - 322,000 USD
• You will also be eligible for equity and benefits. (Link to benefits on NVIDIA site included in original posting.)

Additional information

• Applications for this job will be accepted at least until September 13, 2025.
• NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate on the basis of characteristics protected by law.