Rivian and Volkswagen Group Technologies · 3 weeks ago
Manager - Data & Machine Learning, OTA
Palo Alto, CA
Full-time
Hybrid
Senior Level
$167K/yr - $209K/yr
7+ years expRivian and Volkswagen Group Technologies is a joint venture focused on advancing automotive technology for electric vehicles. They are seeking an experienced Engineering Manager to lead a team of data, analytics, and machine learning engineers, focusing on OTA log and application data, while ensuring data security and compliance.
AutomotiveInformation TechnologySoftware
Responsibilities
Technical Strategy & Roadmapping: Define and execute the technical roadmap for the OTA team’s data efforts, in alignment with Rivian Volkswagen Technologies data platform standards
Project Management: Oversee and provide technical guidance on complex data projects, ensuring timely delivery and adherence to architectural standards
Architectural Oversight: Provide architectural guidance and ensure the design and implementation of highly efficient and reliable data products
Team Leadership & Development: Lead, mentor, and grow a team of data professionals, fostering a collaborative and high-performing environment. Provide regular feedback, conduct performance reviews, and support career development
Infrastructure as Code (IaC): Ensure the adoption and consistent use of IaC principles with Terraform for managing data pipeline and event-based infrastructure
MLOps Integration: Drive the integration of MLOps best practices within the data team, ensuring seamless deployment, monitoring, and maintenance of machine learning models
Data Security & Compliance: Partner with security teams to design and implement robust permissions schemes and structures, ensuring data security and compliance with Rivian Volkswagen Technologies standards
Collaboration: Work cross-functionally with data platform, vehicle software, operations, and application teams to understand data requirements and deliver impactful solutions
Performance & Optimization: Guide the team in proactively identifying and resolving performance bottlenecks in data pipelines and infrastructure
Qualification
Required
7+ years of experience producing and maintaining data products
2+ years of experience in an engineering management role, leading data or ML-focused teams
Strong proficiency in Python and extensive experience with PySpark or Scala for large-scale data processing
Hands-on experience developing and maintaining streaming services, particularly with Kinesis
Hands-on experience working with DBT and Databricks
Deep understanding of AWS services related to data and infrastructure (e.g., S3, Lambda, Glue, Redshift)
Expertise in Terraform for infrastructure as code (IaC)
Strong SQL skills and experience with relational databases
Familiarity with data integration tools like Fivetran
Experience with CI/CD pipelines
Solid understanding of data governance principles
Proven ability to lead highly technical projects and provide effective technical guidance
Preferred
Experience with Java or Go
Experience working with firmware updates or IoT data
Benefits
Robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26
Flex Time Off
Retirement savings plans
Medical, vision and dental coverage
Company
Rivian and Volkswagen Group Technologies
Rivian and Volkswagen Group Technologies develops scalable automotive software and technology platforms for multiple vehicle segments.
1001-5000 employees
H1B Sponsorship
Rivian and Volkswagen Group Technologies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
Funding
Current Stage
Late StageLeadership Team
Kranti Garatkar
Staff Technical Program Manager
Recent News
2025-11-14
Company data provided by crunchbase