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.

Key Responsibilities

Data Infrastructure & Architecture

• 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

Data Products & Platforms

• 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 Engineers (Agents) building agents that automate workflows

Governance & Data Quality

• Champion data quality governance observability to ensure organization-wide trust in data
• Implement lineage and auditability for training data used in generative models

Candidate Profile

• 12-15 years designing and building data products - enterprise data platforms analytics platforms personalization systems in AI-native environments
• Hands-on lakehouse ecosystems low-latency large-scale batch and streaming pipelines for ML optimized for GPU compute
• Feature stores Spark/Ray/Dask Databricks/Snowflake/Delta Lake/Iceberg
• Deep SQL Spark Python. Governance & observability tooling
• Translates complex technical concepts for product and commercial teams
• Scrappy startup experience - as technical as possible as commercial as possible