Enterprise Data Architect

We are seeking an experienced Enterprise Data Architect to join a major transformation programme within a complex enterprise environment. You will be responsible for defining and delivering the organisation’s data architecture strategy, enabling improved decision-making, operational efficiency, and governance across key business functions including Finance, Procurement, HR, Property, and Asset Management. Working closely with Enterprise Architecture and Data & AI teams, you will design scalable data models, integration patterns, and governance frameworks that support the full asset lifecycle and future business growth. Key Responsibilities • Design end-to-end data architecture across the asset lifecycle from planning through to retirement. • Define current and future-state data architectures, including gap analysis and roadmaps. • Establish authoritative data sources and data ownership across corporate functions. • Develop enterprise data models to support integration, workflow automation, and business insight. • Design integration architectures and event-driven data flows across business systems. • Lead data governance initiatives including data quality, stewardship, and master data management. • Support the development of trusted reporting and analytics data products. • Ensure compliance with data privacy, retention, security, and regulatory requirements. • Produce clear documentation of data models, interfaces, and data flows. • Enable self-service reporting and improved access to high-quality business data. • Collaborate with business stakeholders, architects, and technical teams to align data strategy with organisational objectives. Essential Experience • Strong experience delivering enterprise-scale data architecture. • Expertise in conceptual, logical, and physical data modelling. • Experience with Oracle ERP, SQL databases, and Lakehouse platforms such as Databricks. • Knowledge of cloud data platforms including Azure, AWS, or Google Cloud. • Strong understanding of data governance, data quality, and master data management. • Experience designing data integrations, APIs, and data pipelines. • Knowledge of data security, privacy, retention, and compliance requirements. • Experience solving complex data migration, consolidation, and integration challenges. • Excellent stakeholder management and communication skills. • Experience enabling analytics, reporting, and self-service data capabilities. • Understanding of emerging technologies including AI, machine learning, real-time analytics, and data lakes. Desirable Experience • Experience with Hadoop, Spark, Kafka, or similar big data technologies. • Exposure to advanced analytics and machine learning solutions. • Relevant certifications such as CDMP, Azure Data Engineer, or AWS Data Analytics. • Experience working within large-scale infrastructure, asset-intensive, or highly regulated environments.