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Tier-1 brand and senior title increase competition, though role's specialization limits applicant pool.
Specialized vehicle data, time-series, and agentic AI expertise creates moderate industry transferability.
Explicit 10+ years and many mandatory cloud, streaming, and AI platform skills.
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Lead the architectural vision and execution for rebuilding Ford's connected vehicle streaming data platform to support global scale with high throughput and low latency.
Provide hands-on technical leadership and mentorship for Staff and Senior Staff Engineers within an 80+ engineer organization, driving alignment through RFCs and architecture reviews.
Design and implement AI-driven data architectures including agentic AI workflows for autonomous data collection, governance, and real-time insight generation from massive vehicle telemetry datasets.
Bachelor's Degree in Computer Science, Data Engineering, or related field (Master's or PhD preferred).
10+ years of professional experience in software and data engineering, specifically architecting large-scale, petabyte-scale streaming and distributed systems.
Proven IC leadership experience as Staff or Senior Staff Engineer (or equivalent) leading technical efforts in large organizations (50-100+ engineers).
Expertise in database modeling (Relational, NoSQL), specialized time-series data modeling, hands-on applied AI/ML including agentic workflows, and Google Cloud Platform technologies such as BigQuery, Dataflow, Vertex AI, and Kafka or Pub/Sub.
Experienced technical leader with proven success in architecting large-scale streaming and AI-integrated data platforms for complex IoT datasets.
Hands-on engineer who can prototype complex architecture components and lead major technical transformations focusing on efficiency, cost optimization, and cloud-native design.
Strategically focused on advancing AI agent-driven data ecosystems to automate autonomous data insights and ingestion with deep expertise in applied AI and cloud data services.