Lead Data Platform Engineer - Enterprise, Data & AI
Core
Architect, optimize, and scale the enterprise data foundation and data fabric to unify data for downstream AI agents.
Role type
Lead Data Platform Engineer (Enterprise & AI)
Builds
High-throughput, low-latency, secure, AI-ready data foundations and autonomous data frameworks.
Domain
Autonomous vehicle / Robotics / High-tech manufacturing data infrastructure
Deliverable
production ML models | infrastructure
Required skills
Data platform architecture, high-throughput data fabric design, performance tuning, cost optimization, RBAC implementation, data governance, CI/CD pipeline automation, schema evolution management, automated data quality testing, metadata management, intelligent storage lifecycle strategies, query optimization, cloud optimization (Databricks/EMR), infrastructure-as-code, containerization orchestration
Preferred skills
LLM/GenAI integration in pipeline operations, GPU/CPU performance optimization, autonomous vehicle/robotics sector experience
Responsibilities
Scale self-healing data pipelines with anomaly detection and automatic recovery; Define and enforce company-wide data governance and access controls; Implement intelligent storage lifecycle and resource throttling strategies; Build automated CI/CD deployment templates and testing frameworks
Seniority
Senior, hands-on IC with leadership scope
