Data Platform Principal Architect

We are looking for a Principal Architect who operates at the intersection of platform architecture, customer-facing data products, and AI enablement. This is not a traditional infrastructure role. Your mandate is to architect the governed, reusable data, knowledge, and skill layer that powers analytics, AI agents, and real-time decision systems across the business.

Responsibilities

Own the technical execution of regional and global data localisation strategies within the Databricks environment; Design scalable patterns that satisfy strict regulatory requirements while maintaining a unified global data model across priority markets; Reconcile local compliance constraints with global consistency in definitions, metrics, and knowledge artifacts; Partner with Data Science, AI Engineering, Product, and Risk teams to ensure the platform supports experimentation and high-quality decision-making; Lead global data modeling efforts, creating unified schemas that accommodate regional variance; Define and implement Agent Interfaces—APIs and tools that enable AI agents to interact with Knowledge and Skills layers; Implement Governance-as-Code, ensuring automated data lineage and quality controls are embedded directly into the data platform

Requirements

10+ years of experience designing and building large-scale data systems with strong architectural fundamentals; Hands-on experience with the Databricks ecosystem, including Unity Catalog and Delta Lake; Experience implementing semantic layers or metric stores to enable consistent reporting and analytics; Solid understanding of how AI/agent-based systems consume data, with experience building APIs or data services to support them; Experience designing data solutions that meet regional data residency and compliance requirements; Demonstrated senior-level individual contributor experience, including leading design reviews and mentoring engineers