Data Architect

• Contribute to the development of the Data & Analytics strategy that aligns with business goals, emphasizing the creation of value through data-driven insights
• Design and maintain Quintet’s data architecture framework
• Design scalable, agile, interoperable and secure data platforms and pipelines, integrating structured, unstructured, and real-time data sources
• Develop and enforce best practices for data modeling, metadata management, semantic layer design, and data integration across the bank
• Design and optimize data flows between critical systems, core banking platforms, such as CRM, analytics systems, and regulatory reporting tools
• Ensure that solutions are cloud-native and future-ready
• Implementation of a MDM (Master Data Management) solution, ensuring data consistency, integrity, and governance across the bank
• Act as the bridge between business and technology, ensuring alignment between business needs and technical delivery
• Partner with cross-functional teams of data engineers, analysts, and technologists to implement architecture designs
• Engage with stakeholders from Finance, Risk, Compliance, Operations, HR, Front Office and IT to ensure regulatory alignment and robust security
• Stay ahead of the curve by assessing emerging trends in data, AI, and machine learning and their applicability to banking
• Spearhead innovation initiatives, such as real-time analytics, AI-driven insights, and predictive data modeling
• Advocate for modern data architecture patterns, such as data mesh, data fabric, and event-driven architectures

• Further professional Education (Masters / Professional qualification)
• More than 5 years experience in a similar role
• 10+ years of experience in data architecture, enterprise data management, or a related role, with significant exposure to financial services or regulated industries
• Proven experience leading large-scale data transformations in complex, multi-business environments
• Deep expertise in data architecture design, encompassing operational, analytical, and streaming use cases, with hands-on experience in leading platforms such as Snowflake, AWS, Microsoft Azure, Databricks, and Dataiku
• Mastery of data technologies such as SQL, NoSQL, ETL tools, Apache Spark, Kafka, and modern API frameworks
• Experience implementing AI/ML pipelines or integrating advanced analytics tools into operational workflows
• Strong understanding of data security, privacy, and compliance standards
• Fluent in English

French would be a plus