Lead Azure Data Engineering Architect – Lloyds Marketplace

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Lead Azure Data Engineering Architect – Lloyds Marketplace London Onsite - Hybrid Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets.

An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

• 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.

• 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.
• Experience with sales analysis, marketing insights, and quantitative analysis is preferred.
• Knowledge of enterprise architecture frameworks, cloud platforms, integration solutions, and modern data ecosystems.

If you like wild growth and working with happy, enthusiastic over‑achievers, you'll enjoy your career with us!

At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting‑edge solutions to problems in the business world.

We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end‑to‑end data‑to‑decision journey.