Senior Data Platform Admin - Finance

at Nvidia
📍 Santa Clara, United States
USD 168,000-322,000 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 System Administration @ 4 Kubernetes @ 4 Linux @ 4 Data Science @ 4 AWS @ 4 Azure @ 4 Communication @ 4 Data Engineering @ 4 Mentoring @ 4 Parquet @ 4 BI @ 4 JSON @ 4 XML @ 4 Databricks @ 4 Reporting @ 4 Compliance @ 4

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. As part of the Finance AI and Data Science team, 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 so data flows from ERP and other sources into financial 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 NVIDIA's broader 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 clear 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 preferred.
  • Expertise in PySpark, SparkSQL, and Linux shell scripting.
  • Data engineering knowledge, particularly with Delta Lake, Parquet, and other data 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 varied audiences.

Ways to Stand Out

  • 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 and recovering systems from significant incidents.
  • Teaching or mentoring experience, enthusiasm for exploring and implementing new technologies, and creative problem-solving skills.

Compensation & Benefits

  • Base salary ranges by level: Level 4: 168,000 USD - 264,500 USD; Level 5: 200,000 USD - 322,000 USD.
  • Eligible for equity and benefits (link to NVIDIA benefits provided in original posting).

Additional Information

  • Location: Santa Clara, CA, United States.
  • Employment type: Full time.
  • Applications accepted at least until September 13, 2025.
  • NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.