Data Architect @ Aon

Job Title- Lead Data Architect Position type- Full Time Work Location-Bangalore Working style- Hybrid People Manager role: No Required education and certifications critical for the role- Any Graduate or Post-Graduate (full time) Required years of experience Minimum 12+ years of relevant experience

What the day will look like

Architectural Vision Convergent Platform Strategy Define and own the target architecture for Core Engineering spanning application, AI, and data layers Drive the convergent platform strategy: maximise reuse of capability between products Maintain and evolve reference architectures, solution blueprints, and enterprise patterns Ensure architectural decisions support multi-cloud, hybrid environments, and poly-cloud AI deployment Own the Enterprise Pattern Catalog lifecycle management from Proposal through Graduated to Retired Define the three-layer architecture model: Core Engineering Platform (Build) Interfaces (Serve) Products (Application) Architecture Governance Review Run and chair Architecture Review Boards (ARBs) no significant build without TA sign-off Review all major designs for alignment with reference architectures, NFRs, and security standards Establish and enforce design guardrails: cloud adoption, security, financial compliance, and autonomy Reduce late-stage rework by ensuring architectural quality from project inception Ensure full NFR coverage (performance, security, scalability, accessibility) for all products Own the architecture decision log traceable, documented rationale for all significant technical choices Technology Radar, Innovation Explore Own and maintain the Core Engineering Technology Radar quarterly updates on tools, platforms, and techniques Evaluate emerging technologies: AI/ML frameworks, GenAI platforms, cloud services, data technologies Define clear PoC-to-production transition criteria what must a PoC demonstrate before it graduates Partner with AI Engineering and Data Science on GenAI architecture: RAG, LLM orchestration, vector DBs, agentic workflows Core member of the Tech Strategy group responsible for the technical dimension of the Explore agenda Assess and recommend build vs buy vs partner decisions for new technology capabilities

Cross-Product Design Leadership

Work closely with all Engineering Leads to guide product-level design decisions within architectural guardrails Champion a collaborative environment across SDE, SRE, Data Scientists, AI Engineers, and UX Guide Product Owners in prioritising backlog items with technical feasibility and architectural impact Identify and resolve cross-product architectural conflicts, dependencies, and integration challenges Drive API design standards, data contracts, and integration patterns across the portfolio Ensure products are designed for observability, cost-efficiency, and operational resilience from day one

Architectural Community Knowledge Sharing

Chapter Lead for Architecture drive knowledge sharing, design reviews, and best practices across all product teams Mentor and develop Solution Architects across Core Engineering sites Run architecture forums, design clinics, and lunch-and-learn sessions Maintain and publish shared architecture assets: playbooks, design templates, reference implementations Drive architectural consistency across Dublin, Bengaluru, Krakow, and Singapore

Strategic Contribution

Stakeholder Engagement Candidate Core member of the Tech Strategy group shaping the Explore agenda and technology investment decisions Represent Core Engineering s architectural perspective in cross-functional planning and governance forums Engage with external partners (Microsoft, AWS, Google, Databricks) on platform architecture alignment Provide architectural input to business cases, RFPs, and partner evaluations Communicate architectural vision and rationale clearly to senior leadership and non-technical stakeholders

How this opportunity is different

The Lead Data Architect is the guardian of architectural excellence within Core Engineering. This person will ensure the product is designed and built to enterprise-grade standards for performance, security, scalability, and maintainability. The Lead Data Architect does not own product delivery (that s the EL) or functional capability development (that s the Head of Function). Instead, they own the how it s designed dimension ensuring architectural decisions are sound, patterns are reused, platforms converge, and technical debt is managed strategically. This person also plays a critical role in the Explore dimension of ambidexterity: evaluating emerging technologies, maintaining the technology radar, and defining the criteria for transitioning PoCs into production.

Skills and experience that will lead to success

Essential

Desirable