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Job Description

Job Title: Technical Architect – Integration & Platforms

Location: London

Reports to: Head of Technology

Salary: £120K + Benefits + Bonus

Role Summary

We are partnering with a data-first specialty insurance business seeking a Technical Architect with deep expertise in integration and platform architecture to shape the design and governance of our enterprise ecosystem.

Key Responsibilities

Integration Architecture

Define enterprise integration strategy: API design, messaging patterns, EDA, ETL/ELT processes.

Lead API design, documentation, and governance—RESTful, OpenAPI-compliant, high-performance interfaces.

Collaborate with Data Architects/Engineers to operationalize AI models (Gen AI, Agentic AI, LLMs).

Establish secure integration standards: OAuth, API keys, and encryption on Azure.

Platform Architecture

Advise on technology selection, platform implementation, and adherence to architecture standards.

Drive .NET and Angular stack evolution focusing on modularity, microservices, and performance.

Optimize data platform architecture, Azure Databricks usage, and enforce NFRs (scalability, resilience, DR).

Technical Design & Governance

Translate business strategy into phased architecture roadmaps.

Conduct architectural/code reviews, provide technical leadership, and mentor engineers.

Present recommendations and trade-offs to technical and non-technical stakeholders.

What We’re Looking For

Essential:

10+ years in senior technical roles; 5+ as an Architect in software, integration, and technical architecture.

Expert in APIs, message queues (Azure Service Bus, Kafka), and Event-Driven Architecture.

RESTful API design, API Gateway management, and OpenAPI mastery.

Strong DevOps experience with CI/CD (Azure DevOps, GitLab CI).

Extensive Azure knowledge (Databricks, Data Factory, ADLS Gen2).

Excellent communication, leadership, and stakeholder management skills.

Desirable:

Experience in (Re)Insurance or Financial Services.

Expertise in .NET/C# and front-end architecture (Angular).

Knowledge of relational, NoSQL, and data lake architectures.

Experience with LLMs, Generative AI, and Agentic AI in cloud environments.

Integration of proprietary systems with COTS financial/ERP solutions.

Sound Good?

Apply Now!

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