Staff Data Platform Engineer

Rivian and Volkswagen Group Technologies

. Design, deploy, and maintain data platform infrastructure using Terraform and Infrastructure as Code principles .

Posted 10/23/2026full-timeIrvine • California • United StatesLead💰 $154,000 - $211,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data platform infrastructure using Terraform and Databricks, with a strong focus on scalability, reliability, and performance. Proficient in cloud technologies and CI/CD pipeline management, ensuring compliance with technical and legal standards.

Highest-signal resume keywords

Terraform Infrastructure ManagementDatabricks Platform OptimizationCI/CD Pipeline DevelopmentCloud Technologies (AWS, GCP, Azure)Data Processing Systems Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Platform Infrastructure DesignDatabricks (Delta, Spark, Unity Catalog)Infrastructure as CodeCI/CD Pipeline ManagementPySparkSpark SQLSpark Streaming

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsInterpersonal Skills

Tools & Technologies

AWS IAMVPC NetworkingEC2S3

Industry Keywords

Big Data TechnologiesCloud ComputingData Governance

Tech Stack

Tools & technologies

AWSAzureCloudEC2Google Cloud PlatformPySparkSparkSQLTerraformUnity

About the role

Key responsibilities & impact

Design, deploy, and maintain data platform infrastructure using Terraform and Infrastructure as Code principles
Manage and optimize the Databricks platform for security, performance, and cost-effectiveness at global scale
Lead the technical design of data systems with emphasis on scalability, reliability, and performance
Make architectural decisions aligned with the long-term architectural vision
Collaborate with data producers, data consumers, and business leaders to gather requirements and provide technical guidance
Ensure the data platform meets technical and legal needs
Proactively identify and resolve Databricks platform issues
Stay current with big data technologies, cloud computing, and DevOps practices

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Data Science, or a related field
3+ years of hands-on experience in a similar role
Proven track record of building and maintaining large-scale data processing systems
Solid understanding of Databricks, including Delta, Spark, Unity Catalog, data governance, and workspace administration
Experience using Terraform to manage large-scale systems through Infrastructure as Code
Experience building and maintaining CI/CD pipelines
Exceptional analytical and problem-solving skills
Excellent communication and interpersonal skills
Experience with cloud-based technologies such as AWS, GCP, or Azure
Familiarity with PySpark, Spark SQL, or Spark Streaming
Familiarity with AWS IAM, VPC networking, EC2, and S3
Authorization to work for an employer in the United States

Benefits

Comp & perks

Annual company performance bonus program with a 15% annual bonus target
Equity in the form of Restricted Stock Units (RSUs), subject to board approval and vesting requirements
Health coverage
Retirement savings
Time off
Family planning programs