Data Architect - Azure Data Engineering
FractalLondon, England, United Kingdom
Posted March 16, 2026
Full Time
About the Company
Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500® companies. Fractal's vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the world's most admired companies. Fractal's businesses include Crux Intelligence (AI driven business intelligence), Eugenie.ai (AI for sustainability), Asper.ai (AI for revenue growth management) and Senseforth.ai (conversational AI for sales and customer service). Fractal incubated Qure.ai, a leading player in healthcare AI for detecting Tuberculosis and Lung cancer. Fractal currently has 4000+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as 'Great Workplace' and 'India's Best Workplaces for Women' in the top 100 (large) category by The Great Place to Work® Institute; featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research Inc., a leader in Analytics & AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an 'Honorable Vendor' in 2022 Magic Quadrant™ for data & analytics by Gartner Inc. For more information, visit fractal.ai
Job Description
Data Architect - Azure Data Engineering role involves designing and building end-to-end data pipelines, collaborating with teams, and contributing to cloud-native data architectures. Requirements include experience with PySpark, Databricks, Azure Data Platform, and ETL frameworks. Good to have exposure to AI/ML data workflows and data governance tools.
Requirements
- Design and build end-to-end data pipelines using PySpark, Databricks, and Azure Data Platform
- Collaborate with upstream and downstream teams to ensure data quality, reliability, and SLAs
- Contribute to the design of cloud-native data architectures covering ingestion, processing, storage, and consumption
- Provide technical guidance, code reviews, and mentoring to engineers
- Own delivery for assigned data products or pipelines — from design through deployment
Benefits
- Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute
- Recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner