Data Solutions Architect-8293

<p><strong>Data Architect</strong></p> <p><strong>Permanent | Hybrid | Data Architecture | ETL </strong></p> <p><strong>The Role:</strong></p> <p>We are seeking an experienced Data Architect to design and govern enterprise-scale data architectures that support complex, data-driven programmes. This role will be responsible for shaping data strategy, defining information models, and delivering robust data platforms capable of supporting advanced analytics and artificial intelligence initiatives.</p> <p>You will work closely with engineering, analytics, data science, and business stakeholders to ensure data is trusted, accessible, and structured effectively across the organisation. This is an excellent opportunity for someone who enjoys solving complex data challenges and influencing the future direction of large-scale digital transformation programmes.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Define and maintain conceptual, logical, and physical data models across multiple domains.</li> <li>Design and govern scalable ETL/ELT data pipelines that support enterprise reporting, analytics, and AI workloads.</li> <li>Establish data standards, governance frameworks, and best practices to improve data quality and consistency.</li> <li>Collaborate with technical and business stakeholders to define data requirements and strategic roadmaps.</li> <li>Drive the implementation of a single source of truth across complex and diverse datasets.</li> <li>Support the adoption of modern cloud-based data platforms and architecture patterns.</li> <li>Ensure data solutions are secure, scalable, maintainable, and aligned to organisational objectives.</li> <li>Provide architectural leadership across data engineering, analytics, and AI initiatives.</li> </ul> <p><strong>Skills & Experience:</strong></p> <ul> <li>Strong experience in Data Architecture, Data Modelling, and Enterprise Information Management.</li> <li>Proven experience designing and implementing ETL/ELT pipelines within large-scale environments.</li> <li>Expertise in creating conceptual, logical, and physical data models.</li> <li>Experience defining data governance standards, metadata management, and data quality frameworks.</li> <li>Strong understanding of modern cloud data platforms and data integration technologies.</li> <li>Ability to engage effectively with senior stakeholders and translate business requirements into technical solutions.</li> <li>Excellent analytical, communication, and problem-solving skills.</li> <li>Experience working within highly regulated, complex, or large-scale organisations.</li> </ul> <p><strong>Desirable Skills:</strong></p> <ul> <li>Experience supporting or enabling <strong>Artificial Intelligence</strong> and <strong>Machine Learning</strong></li> <li>Knowledge of MLOps, feature stores, real-time analytics, or automated data pipelines.</li> <li>Experience with data mesh, domain-driven design, or modern