🛠 Tech Stack

💼 About This Role

You'll design and build an AI-native data architecture for a next-gen CFO advisory firm, first internally then with clients. You'll enable finance transformation through scalable, governed data platforms. This role offers rare ownership of both internal platform design and client-facing advisory.

🎯 What You'll Do

• Design target-state AI-ready data architecture
• Define semantic models and governed data layers for LLM-powered systems
• Establish enterprise data governance frameworks
• Develop reusable reference architectures for client engagements

📋 Requirements

• 8+ years in enterprise data architecture or modern cloud data platforms
• Proven experience with Snowflake, Databricks, BigQuery or equivalent
• Deep expertise in data modelling and semantic layers
• Experience designing AI-ready architectures for LLM or RAG-based systems

✨ Nice to Have

• Familiarity with finance systems like ERP, FP&A, reporting
• Practical understanding of embeddings and hybrid retrieval
• Experience in advisory or consulting contexts

🎁 Benefits & Perks

• 🏖️ Hybrid working from Mayfair office
• 💰 Competitive compensation plus equity
• 📈 Rapid career growth in a scaling startup
• 🧑‍💻 Cutting-edge tech stack with AI at core
• 🤝 High-impact role shaping firm's architecture

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min