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Tier-1 brand, metro location, senior generalist title and broad data+AI skills increase competition.
Core data-platform and AI skills transfer, but automotive telemetry and compliance create moderate industry specificity.
Explicit 10+ years plus mandated data-platform, GCP, streaming, and AI/LLM expertise enforces strict filters.
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Lead the architectural vision and rebuild of a global-scale connected vehicle streaming data platform focused on AI-driven data architecture.
Provide technical leadership and mentorship to staff and senior engineers across an 80+ person engineering organization, driving alignment through architecture reviews and standards.
Design and implement AI-powered agentic data flows and intelligent autonomous data pipelines to automate data governance, insight generation, and operational efficiencies.
Bachelor's degree in Computer Science, Data Engineering, or a related technical field; Master's or PhD preferred.
10+ years of professional experience in software and data engineering with proven expertise in large-scale streaming and distributed systems.
Proven experience as Staff or Senior Staff Engineer or equivalent technical leadership for large engineering teams (50-100+ engineers).
Expert knowledge of database modeling (relational & NoSQL), time-series data modeling, AI/agentic workflows, and proficiency in Google Cloud Platform (BigQuery, Dataflow, Vertex AI) and high-throughput messaging systems like Kafka or Pub/Sub.
Experienced individual contributor leader with a track record of hands-on technical execution combined with strategic architecture vision in large-scale data engineering environments.
Deep expertise in applied AI and agentic workflows to automate data processing, insight generation, and cloud cost-performance optimization.
Comfortable operating autonomously with technical sovereignty to re-architect foundational systems impacting massive, complex IoT data sets for vehicle safety, compliance, and efficiency.