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Senior Architect (ADC/Quant)

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Onsite

Senior Architect (ADC/Quant)

London Stock Exchange

Senior Architect (ADC/Quant)

Skills

SQL QueriesPythonJavaMicroservicesRKafkaDatabricksData AnalysisMachine LearningAIAWSWorkdayComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

12 August 2026

What they need


  • We are seeking an expert Senior Architect to drive the technical vision, system design, and architectural governance for a large-scale, technically diverse engineering program
  • Operating across multiple complex domains, you will serve as the premier technical authority, designing mission-critical enterprise systems, overarching data ecosystems, and leading our artificial intelligence (AI) integration strategy
  • The successful candidate will set the architectural target state, establish design patterns for highly resilient systems, and ensure technical coherence across a highly heterogeneous technology stack
  • You will partner with business stakeholders and engineering management to translate strategic objectives into robust, scalable, secure, and AI-ready architectures, navigating the complexities of a highly regulated, high-expectation environment
  • Define and own the 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 technical designs strictly adhere to non-functional requirements (NFRs) such as scalability, maintainability, performance, latency, and security
  • AI Architecture Roadmap: Lead the architectural design for integrating AI and Machine Learning capabilities (including Generative AI) into existing and new enterprise products
  • AI Governance & Security: Establish secure guardrails, data privacy controls, and ethical compliance standards for AI consumption within a highly regulated environment
  • Developer Productivity: Champion the adoption of AI-driven engineering tooling (e.g., AI coding assistants, automated testing generation) to enhance developer velocity and code quality across the portfolio
  • Data Readiness: Architect robust, scalable data pipelines (MLOps/LLMOps) to support reliable model training, fine-tuning, and low-latency inference
  • Act as a senior technical leader and mentor to Principal Engineers and Tech Leads across multiple engineering domains
  • Ensure architectural coherence across a diverse technology stack, balancing the need for enterprise standardization with the autonomy of agile delivery teams
  • Take ownership of technical debt management strategies and long-term platform health, preventing fragmented or sub-optimal legacy solutions
  • Lead technical investigations into complex performance bottlenecks, major systemic incidents, and architectural pivots
  • Remain heavily hands-on in the R&D space; write prototype code, execute Proof-of-Concepts (PoCs), and directly validate architectural assumptions (specifically around new AI tools or cloud services) before scaling them to development teams
  • Collaborate closely with business leadership, product owners, and Development Managers to translate strategic commercial objectives into executable technical roadmaps
  • Act as a trusted advisor, articulating complex technical trade-offs, risk mitigation strategies, and system capabilities in clear, business-centric language
  • You will be architecting solutions within a broadly evolving and heterogeneous technology landscape, notably encompassing:
  • Compute & Services: Java, .NET, Python, Cloud-native microservices
  • Data & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka)
  • AI & ML: Azure OpenAI, LLM Integration patterns, Vector Databases
  • Integration & Storage: Azure Data Factory (ADF), SQL Server, Enterprise relational platforms
  • Infrastructure: Azure, AWS, and Hybrid Cloud networks- 8+ years of hands-on experience in software engineering, with at least 3+ years acting as a Principal or Senior Architect designing large-scale, high-throughput, and mission-critical enterprise distributed systems
  • Matrix Leadership: Exceptional stakeholder and client communication skills, with a track record of influencing cross-functional engineering pods, product managers, and C-level executives without requiring direct reporting lines
  • Proven experience designing highly available Hybrid and Multi-Cloud architectures (Azure & AWS)
  • Advanced data architecture experience using Databricks, Microsoft Fabric, and large-scale data processing (Data Mesh/Lakehouse patterns)
  • Resilience & SRE: Advanced knowledge of building fault-tolerant architectures leveraging modern SRE principles, robust observability, and cloud-native resilience patterns
  • Strong background in data integration and relational platforms
  • AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into enterprise applications
  • Enterprise Governance & Security: Deep understanding of security architecture, secure SDLC practices, data privacy, and compliance requirements typical of the London financial services sector
  • Candidates are not expected to be absolute experts in every single technology listed but must demonstrate the architectural abstraction skills to design systems spanning varied stacks and the ability to rapidly build context

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