data architecture standards and best practices Collaborate with cross-functional teams to align data models with business needs Lead data integration, transformation, and migration strategies Maintain enterprise data models, metadata repositories, and data lineage documentation Optimise data products for performance, scalability, and reliability Skills & Experience: 10+ years in data architecture and modelling Expertise in dimensional modelling, 3NF, and Data More ❯
systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance More ❯
systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance More ❯
london (city of london), south east england, united kingdom
Capgemini
systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance More ❯
