Lead Azure Data Engineering Architect

Lead Azure Data Engineering Architect – Insurance Domain (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

Responsibilities:

• Design and implement scalable data migration strategies and ETL/ELT data pipelines.
• Strong Insurance domain experience, preferably within the Lloyd’s marketplace
• Good understanding of tools and platforms used across the Lloyd’s insurance ecosystem
• Architect and optimize data solutions using PySpark and Datamart (GOS – Oracle as a Service).
• Develop and maintain data platforms leveraging Snowflake and Azure services (Blob Storage, Data Lake, Synapse Analytics, Databricks).
• Integrate serverless components such as Azure Functions for automation and orchestration.
• Ensure system monitoring and performance optimization using Azure Monitor and Grafana.
• Collaborate with cross-functional teams to define data architecture standards and best practices.

Requirements:

• Proven experience in data engineering and architecture with strong expertise in ETL/ELT processes.
• Hands-on experience with PySpark, Snowflake, and Oracle-based data solutions.
• Proficiency in Azure ecosystem:
  Blob Storage, Data Lake, Synapse Analytics, Databricks, Functions, and Monitor.
• Strong understanding of data modeling, migration strategies, and performance tuning.
• Familiarity with monitoring tools such as Grafana for system health and analytics.
• Excellent problem-solving skills and ability to lead technical teams