2 of 2 Remote Lead Data Architect Jobs in the UK excluding London

We are looking for a Lead Data Architect to provide strategic leadership and technical expertise in the design and development of data solutions. This role involves setting technical standards, evaluating new technologies, and shaping our approach to data. You will lead a team of Data Architects, Engineers, and Analysts, defining data architecture frameworks … and ensuring the development of scalable, robust, and cost-effective solutions. The ideal candidate will have a passion for data, be technology-agnostic, and possess excellent client-facing skills. Lead Data Architect Annual Salary: circa £85,000 Location: Flexible, hybrid working with some client travel Day to day of the role: Shape the approach to the … design and development of data solutions using cloud technologies. Set standards for solutions documentation and data governance. Lead the promotion of Agile delivery methods. Manage and mentor mid-level to senior team members. Stay updated with the latest technologies and methodologies in cloud and data. Maintain relevant certifications and build strong client relationships. Promote best practices and More ❯

Lead Data Architect - Birmingham or London Hybrid working - 3 days onsite Salary up to £83,000 DOE A Lead Data Architect is needed for a major client in Birmingham or London. The role oversees data architecture and ensures strategic use of data across systems. Key duties include defining the data domain … vision, developing policies and processes, establishing the Data Architecture practice, guiding standards and design guardrails, and balancing requirements to manage risks. Key skills and responsibilities Develop and implement comprehensive enterprise-wide data architecture policies, patterns, processes, and guardrails to strategically manage change and ensure optimal data utilization. Establish and oversee the Data Architecture practice and associated … the creation and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. More ❯