Data Architect

Link Group is seeking an experienced Data Architect to shape and evolve an enterprise data platform that enables reliable data integration, advanced analytics, and data-driven business decisions. You will combine architectural design with technical leadership, ensuring that data solutions are scalable, secure, and aligned with long-term business needs.

Key responsibilities

• Design and evolve the end-to-end data architecture, including data models, ingestion patterns, transformation layers, and consumption interfaces.
• Define architectural principles and technical standards for data storage, processing, integration, access, and sharing.
• Design scalable data integration solutions covering batch and streaming workloads, ETL/ELT processes, and connections between systems.
• Establish best practices for data modelling, metadata management, data lineage, and business terminology.
• Conduct architecture reviews and guide delivery teams in applying agreed standards and security principles.

Requirements

• Proven experience designing and developing scalable enterprise data platforms based on Lakehouse architecture.
• Strong knowledge of Azure Databricks and modern cloud-based data processing environments.
• Experience creating conceptual, logical, and physical data models using ERD and UML techniques.
• Practical knowledge of data integration, including ETL/ELT, batch processing, and streaming.
• Experience defining architectural standards and reusable patterns for data modelling, security, and access.

What we offer

• Opportunity to work within a modern Microsoft Azure cloud ecosystem.
• Engagement with advanced technologies including Microsoft Fabric, Apache Airflow, and Unity Catalog.
• Collaboration with cross-functional teams on enterprise-scale data projects.
• Professional development in a role focused on high-level architectural strategy and governance.