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Lead Data Platform Engineer - Enterprise, Data & AI

Zoox· Information Technology and Applications – IT Infrastructure
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Hybrid (Foster City, CA)$230k - $277kFull-timePosted 1mo ago

About the role

Lead Data Platform Engineer responsible for architecting, optimizing, scaling, and owning Zoox's enterprise data foundation and AI data fabric, including RBAC, data governance, CI/CD pipelines, and low-latency data access for analytics and AI agents.

Responsibilities

  • Scaling self-healing data pipelines that automatically handle schema evolution, detect anomalies, execute circuit breakers and recover from failures without manual intervention.
  • Define and enforce company-wide data governance, access, automated data quality testing, schema evolution policies and metadata management to maintain high-fidelity data assets.
  • Implement intelligent storage lifecycle strategies, resource throttling and query optimization to minimize compute overhead while delivering high-throughput, low-latency data access for analytics and AI agents. With a focus on Databricks vs EMR (AWS) cloud optimization (cost and performance).
  • Build automated CI/CD deployment templates, environment isolation, testing frameworks and version control standards, enabling rapid, reliable and zero-downtime deployments

Qualifications

  • 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.
  • Deep expertise in scaling and optimization, query tuning, compute resource allocation and implementing efficient compute-storage lifecycle policies to minimize infrastructure costs.
  • Experience implementing enterprise security standards, 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).
  • Track record of establishing enterprise data governance frameworks, automated schema evolution controls, data quality audits and near real-time observability/alerting.
  • Hands-on experience building automated CI/CD pipelines, environment isolation (branch testing, rollback mechanisms), version control and automated deployment testing for data assets.

Skills

Required:Data platform engineeringData governanceRBAC and securityCI/CD for data assets
Nice to have:Databricks / AWS EMR optimization

Benefits

  • paid time off (sick leave, vacation, bereavement)
  • unpaid time off
  • Zoox Stock Appreciation Rights
  • Amazon RSUs
  • health insurance
  • long-term care insurance
  • long-term and short-term disability insurance
  • life insurance
Last updated Oct 21, 2026. Interested? Apply on the company site.
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