We are looking for an experienced Data Engineer consultant to design and govern complex, end-to-end data architectures. The role covers data ingestion, integration, processing, storage, governance and consumption, with responsibility for evaluating architectural alternatives and guiding technical decisions. Main Responsibilities Design scalable, resilient and secure end-to-end data architectures aligned with business, functional and non-functional requirements. Define data models and architectures for Data Warehouses, Data Lakes, Lakehouses and analytical platforms. Design data integration approaches covering ETL/ELT, batch, streaming, CDC, APIs and event-driven patterns. Evaluate architectural and technology alternatives, document trade-offs and decisions through ADRs or equivalent mechanisms. Define and evolve reference architectures, blueprints, standards and data architecture principles. Embed Data Governance, Data Quality, Data Lineage, Metadata Management, Data Catalog, Master Data Management, security and GDPR considerations into architecture. Address performance, scalability, availability, recoverability, observability and cost optimisation requirements. Provide architecture governance and technical guidance to architects, data engineers and implementation teams. Produce architecture documentation and communicate recommendations to technical and business stakeholders.