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Lead Data Platform Engineer (Enterprise, Data & Artificial Intelligence)

Zoox

Skills

Required

  • autonomous vehicle / robotics / high-tech manufacturing
  • Data Platform Engineering / Software Engineering
  • infrastructure-as-code
  • Terraform
  • containerization / orchestration
  • EKS
  • elastic compute management
  • GPU/CPU performance optimization
  • utilization

Preferred

  • data platform
  • LLMs / GenAI
  • code generation
  • root-cause
  • automated data reconciliation / backfills / anomaly detection
  • optimization
  • tuning
  • data governance
  • CI/CD pipelines
  • SOX

Join Zoox, a cutting-edge autonomous vehicle company, as a Lead Data Platform Engineer. In this engineering-intensive leadership role, you will architect and optimize our enterprise and AI data foundation, driving performance tuning, cost optimization, data governance, and CI/CD pipelines. You will serve as the primary technical driver for our data platform, designing autonomous frameworks, building scalable data infrastructure, and establishing strict standards for security and developer velocity.

Architect, optimize, scale, and own the next generation of the enterprise and AI data foundation.

About Zoox

Deep expertise in scaling and optimization, query tuning, compute resource allocation and implementing efficient compute-storage lifecycle policies to minimize infrastructure costs

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills

Responsibilities

  • Drive performance tuning, cost optimization, RBAC, data governance, and CI/CD pipelines to deliver secure, low-latency, 'AI-ready' data foundations.
  • Serve as the primary technical driver for the data platform, designing autonomous frameworks, building scalable data infrastructure, and establishing strict standards for security and developer velocity.
  • Experience implementing enterprise security standards, Role-Based Access Control (RBAC), Active Directory/IAM roles and fine-grained data masking, with strong familiarity supporting enterprise compliance requirements (e.g., SOX, audit trail controls, data retention policies)
  • Hands-on experience building automated CI/CD pipelines, environment isolation (branch testing, rollback mechanisms), version control and automated deployment testing for data assets
  • Track record of establishing enterprise data governance frameworks, automated schema evolution controls, data quality audits and near real-time observability/alerting

Requirements

  • 10+ years of hands-on experience in Data Platform Engineering or Software Engineering with a proven track record of architecting and scaling production-grade data foundations
  • Previous experience in the autonomous vehicle, robotics or high-tech manufacturing sectors
  • Experience with infrastructure-as-code (Terraform) and containerization/orchestration (EKS) for elastic compute management. GPU/CPU performance optimization & utilization

Preferred

  • Experience incorporating LLMs or GenAI directly into pipeline operations (e.g., code generation, triage and root-cause analysis, automated data reconciliation, backfills or anomaly detection)

Pay

USD 230,000 - 277,000

Every job at Zoox