Lead Architect - Azure / Data Engineering

Beware of Fraudulent Recruiters It has come to our notice that Fractal Analytics' name and logo are being misused by certain unscrupulous persons masquerading as Fractal's authorized representatives to approach job seekers to part with sensitive personal information and/or money in exchange of promise of lucrative job offers in Fractal. Please exercise caution and verify that the person approaching you is a genuine representative of Fractal Analytics, or an authorized consultant, before you provide any personal details or other non-public information. If in doubt, please write to to seek clarification or report any abuse Lead Architect - Azure / Data Engineering page is loaded Lead Architect - Azure / Data Engineeringlocations: Londontime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: January 31, 2026 (30+ days left to apply)job requisition id: SR-37242It'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 Architect - Azure / Data Engineering 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 for more information about Fractal Responsibilities: Design and implement scalable data migration strategies and ETL/ELT data pipelines. 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 teamsIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!