Data Architect – Ramboll Tech

Salary: £50,000 - 90,000 per year Requirements: • Bachelors or Masters degree in Computer Science, Engineering, or a related field. • 5+ years of professional experience in data architecture, with a strong focus on cloud architecture, data integration, and data modelling. • Deep understanding of the modern data stack and its components. • Experience establishing data architecture and data governance, and leading data modelling, database design, data warehousing, master data management, and data governance practices. • Strong skills in data modelling, ETL processes, and data integration, including experience working with data platform teams. • Experience securing and protecting sensitive information. • Experience developing data pipelines to extract, transform, and load engineering platform data for analysis and reporting. • Experience implementing decentralized data products within a Data Mesh architecture. • Proven experience with cloud platforms such as Microsoft Azure, GCP, or AWS. • Strong analytical and problem-solving skills, with the ability to design solutions to complex data challenges. • Knowledge of conceptual, logical, and physical data modelling; data warehousing; data lakes; Data Mesh; data governance; metadata management; and master data management. • Ability to lead production-grade data products through their lifecycle, from conceptual modelling to deployment and ongoing optimization. • Familiarity with the DAMA Data Management Framework (DAMA-DMBOK) and its application to managing data as a strategic asset. • Advanced knowledge of data modelling tools, data lakes, SQL, and pipeline design. • Excellent communication and interpersonal skills, including the ability to explain technical concepts to non-technical stakeholders. • Experience in the AEC industry, understanding engineering platforms and their integration with engineering systems, and proficiency with Microsoft Fabric are advantageous. • Relevant cloud technology certifications, such as Data Engineering or Databricks certifications, are a plus. Responsibilities: • Own and evolve our enterprise data architecture, including data principles, target-state models, and architecture standards across platforms and products. • Lead architectural design that transforms our data ecosystems into scalable, AI-ready data products that deliver business value and operational excellence. • Establish, document, and uphold data architecture standards, data modelling guidelines, and best practices across our organization. • Define and maintain enterprise and domain data models, and shape data products, contracts, and interoperability patterns. • Guide the use of data platforms, including data warehouses, engineering data warehouses, Microsoft Fabric, and analytics layers. • Translate complex business requirements into robust, scalable, and secure data architectures aligned with our enterprise data strategy. • Design and implement modern data architectures and integration solutions that connect business systems and data sources and enable seamless data flow. • Work with data platform teams to develop operating models that support data processing, integrations, reporting, and AI model deployment and execution. • Design and develop data models that support business processes, analytics, and reporting, ensuring performance and scalability. • Improve data quality and the accessibility and usability of data assets. • Establish frameworks for data lineage, cataloguing, and automated observability to support trustworthy and reliable data pipelines. • Maintain repositories representing data entities, relationships, attributes, information flows, and business glossaries. • Contribute to architectural governance by reviewing data-related designs, guiding teams, and ensuring alignment with our target architecture. • Collaborate with data governance teams to embed data quality, security, and compliance, including GDPR, into integration pipelines and architecture. • Work with business stakeholders, product owners, data scientists, data engineers, subject matter experts, enterprise architects, product architects, developers, and engineers to understand requirements and deliver solutions. • Engage with technology providers to assess relevant technology roadmaps and evaluate solutions against business goals and our enterprise data strategy. • Continuously assess and recommend tools and technologies to improve data engineering and processing. • Support our business areas in using enterprise data to develop insights, enable AI solutions, improve operational efficiency, and identify revenue opportunities. Technologies: • AI • AWS • Architect • Azure • Cloud • Databricks • ETL • Fabric • Flow • GCP • Support • SQL • Security More: We are Ramboll, a foundation-owned global architecture, engineering, and consultancy company founded in Denmark. More than 18,000 colleagues across 35 countries deliver solutions in areas including Buildings, Transport, Water, Environment & Health, Energy, Management Consulting, and Architecture & Landscape. Our purpose is to create sustainable change for a thriving world for both nature and people. As a Data Architect in Technology Architecture at Ramboll Tech, you will partner with our global business areas and join colleagues across enterprise and product architecture, AI, and digital products. Ramboll Tech and GBA Innovation and Digital Transformation accelerate innovation and digital transformation across the Group, direct our AI initiatives, co-create digital solutions with our experts, and deliver technology operations. Our team has more than 300 employees globally and is growing while maintaining a supportive, curious, optimistic, ambitious, and empathetic culture. We exchange ideas regularly, support one another, value diversity, and encourage continuous learning. Our hybrid approach aims to provide flexibility and autonomy for global teams and individuals. This is a full-time, mid-senior-level role. We welcome applicants with diverse experiences, skills, and interests, even if they do not meet every listed requirement. A cover letter is not required; please submit your current CV through our application tool. last updated 40 week of 2026