Lead Azure Data Engineering Architect – Lloyds Marketplace

Responsibilities

Design and deliver scalable, secure, and business-aligned solution architectures for insurance platforms and applications; Collaborate with business, analytics, and technology stakeholders to translate strategic objectives into end-to-end solution designs; Provide architecture leadership across applications, integrations, data platforms, cloud technologies, and digital transformation initiatives; Leverage data analytics, quantitative analysis, and business insights to identify opportunities for innovation, operational efficiency, and profitable growth; Drive strategy development by aligning technology solutions with business goals, market demands, and customer needs; Support digital commerce, underwriting, claims, and policy administration processes through modern technology solutions; Create compelling architecture roadmaps and data-driven presentations using strong data storytelling techniques; Partner with cross-functional teams to improve sales, marketing, and supply chain-related processes where applicable within the insurance value chain; Manage stakeholder expectations and provide architectural governance throughout the project lifecycle

Requirements

Strong insurance domain experience, preferably within the Lloyd's marketplace; Good understanding of tools and platforms used across the Lloyd's insurance ecosystem; Proficiency in Azure ecosystem: Blob Storage, Data Lake, Synapse Analytics, Databricks, Functions, and Monitor; Demonstrated expertise in analytics consulting, data analysis, and data analytics; Strong business acumen with the ability to connect technology decisions to business outcomes; Experience identifying business opportunities and driving innovation through technology and data; Proven ability to develop strategies that support business transformation and profitable growth; Strong stakeholder management, consulting, and communication skills, including data storytelling and executive presentations; Knowledge of enterprise architecture frameworks, cloud platforms, integration solutions, and modern data ecosystems

Nice to have

Experience with sales analysis, marketing insights, and quantitative analysis is preferred