Senior Architect, ADC/Quant

Overview

As a Senior Architect, you will set the architectural direction for a large, diverse engineering program and act as the premier technical authority. You will shape mission-critical enterprise systems, data ecosystems, and AI integration strategies that align with business goals. You’ll drive the target state, design patterns, and architectural governance across a heterogeneous stack. You collaborate with stakeholders to translate strategy into scalable, secure, and AI-ready architectures. This role offers the opportunity to influence technical standards, governance, and innovation in a regulated environment.

Pay / Benefits

• healthcare
• retirement planning
• paid volunteering days
• wellbeing initiatives
• career development
• global mobility opportunities

Responsibilities

• Define and own end-to-end target state architecture across diverse systems, data platforms, and cloud integrations
• Publish, maintain, and champion architectural blueprints, design patterns, and engineering excellence standards
• Lead the Architecture Review Board (ARB) process for the domain, ensuring designs meet NFRs such as scalability, maintainability, performance, latency, and security
• AI Architecture Roadmap: lead architecture for integrating AI/ML capabilities (including Generative AI) into enterprise products
• AI Governance & Security: establish secure guardrails, data privacy controls, and ethical compliance for AI in a regulated environment
• Developer Productivity: promote AI-driven tooling to boost developer velocity and code quality
• Data Readiness: architect scalable data pipelines (MLOps/LLMOps) for model training, fine-tuning, and low-latency inference
• Act as senior technical leader and mentor to Principal Engineers and Tech Leads across domains
• Ensure architectural coherence across a diverse technology stack while balancing standardization with agile delivery
• Take ownership of technical debt management and long-term platform health
• Lead technical investigations into performance bottlenecks, incidents, and architectural pivots
• Remain hands-on in R&D: prototype, PoCs, and validate AI tool/cloud service assumptions before scaling

Key requirements

• 8+ years of software engineering experience with 3+ years as Principal or Senior Architect
• Extensive data architecture experience with Databricks, Microsoft Fabric, and large-scale data processing (Data Mesh/Lakehouse)
• Strong background in data integration and relational platforms
• Proven experience designing highly available Hybrid and Multi-Cloud architectures (Azure & AWS)
• AI/ML exposure for architectures supporting AI workloads, including LLMs, predictive analytics, and vector search
• Enterprise governance & security understanding for London financial services sector
• SRE-aware design, observability, and cloud-native resilience patterns
• Matrix leadership and stakeholder communication with cross-functional teams and executives

• stakeholder communication
• influencing cross-functional teams
• risk mitigation and clear business-centric communication
• Databricks
• Microsoft Fabric
• Data Mesh

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