2 of 2 Physical Data Model Jobs in the Midlands

Data Architect Location: Hybrid working (minimum 2 days a week in Staffordshire Head Office) Type: Full-time Salary: Up to £70,000 Are you a visionary Data Architect ready to shape the future of enterprise data and AI ? I have an amazing opportunity to join my national market leading client to lead the design and delivery of … scalable, secure, and high-performing data solutions that power transformation across a complex, data-rich organisation. What you'll be doing As a Data Architect, you'll be at the heart of enterprise-wide change programmes, working closely with the Lead Data Architect to: Design and deliver enterprise Data & AI architecture aligned with strategic goals. … Develop conceptual, logical, and physical data models for both operational and analytical use cases. Define data architecture for solutions involving ETL , data integration, and migration. Establish and maintain data architecture assets, including standards, policies, and integration patterns. Collaborate with Data Stewards, Analysts, and SMEs to define and ratify common reference data and hierarchies. More ❯

Do you have a passion for turning raw data into meaningful insight? Are you an experienced data professional who thrives on building scalable models that drive real business impact? At Stonewater, were embarking on a major transformation in how we manage, use, and think about data. As our new Data Model l er , youll take a … lead role in this journey , designing, implementing, and maintaining the data models that underpin our strategic decision-making and day-to-day performance. Youll not only bring technical expertise in data architecture and modelling , but you wi ll also help drive a cultural shift across the business, embedding data and insight at the heart of everything we … do. What youll bring A Degree in Computer Science, Information Systems, or related field. Proven experience as a Data Modeller or in a similar role. Excellent analytical and problem-solving abilities. Proficiency in conceptual, logical, and physical data modelling techniques, including normalization and denormalization. Clear communication for complex data challenges to non-technical stakeholders. Strong knowledge More ❯