Senior Data Platform Admin - Finance at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, FinanceIndustries

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 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

Responsibilities

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, data scientists, and finance professionals on building the perfect data system for the AI age

Skills

Key technologies and capabilities for this role

DatabricksAWSAzureKubernetesAccess ControlSecurity ProtocolsCloud InfrastructureData LakeBackup RecoveryMonitoringCost Optimization

Questions & Answers

Common questions about this position

What experience level is required for this Senior Data Platform Admin role?

The role requires 8+ years of experience in data platform administration.

What key technical skills are needed for this position?

Expertise in PySpark, SparkSQL, and Linux shell scripting is required, along with data engineering knowledge in Delta Lake, Parquet, and formats like JSON, XML, CSV, Avro. Familiarity with access control methodologies (DAC, RBAC, UBAC), network security protocols, and encryption is also essential.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this position?

Candidates stand out with Databricks, AWS, and Azure certifications and hands-on experience, experience with data compliance regulations including PII handling and ITGC/SOX controls, and a proven history of developing and improving security monitoring frameworks.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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