Head of Engineering

About Our Client: Our client is a frontier AI company building a next-generation AI platform - a generative AI + simulation-powered search engine.

The Role: Lead end-to-end delivery of data engineering initiatives. Architect and scale the core data infrastructure that powers their business - from data lakes and enterprise data platforms to AI-enabled analytics products and agentic systems. High-impact opportunity to build foundational systems that drive decision-making across research, product, and commercial teams.

• Design, build, and scale data pipelines and lakehouse architectures supporting enterprise, product, and commercial analytics at scale
• Own the data lake ecosystem, defining standards for ingestion, storage, transformation, and access across structured and unstructured data
• Evolve the data stack for scalability, performance, and developer experience, optimizing for multi-cloud compute and supercomputing environments
• Build and maintain centralized feature registry / feature store as single source of truth for feature cataloging, lineage, ownership, SLAs - ensuring training/serving consistency

• Develop and own core data products including enterprise data platform, intelligence layer, and AI-powered analytics tools (including AI agents) for non-technical users
• Build robust data models supporting analytics, reporting, and ML across multiple business lines
• Enable Applied AI/ML Eng