TRATON is a group of strong brands with a shared mission: transforming transportation together to create the future of sustainable transport solutions. Within TRATON, we include MAN, Scania, Volkswagen Truck & Bus, and International. As part of a global team of industry experts, you get to think bigger, experience more, and reach further. Together, we have the power to transform transportation - Let´s make a difference together. Find out more: www.traton.com Our values – customer first, respect, team spirit, responsibility, and elimination of waste – are at the heart of everything we do. Role Summary This role is a part of TRATON Group R&D, located in Södertälje, Sweden TRATON Group R&D is driving the transformation toward smarter, safer, and more sustainable transport systems. Within the Systems Engineering organization, the Performance, Data & Analytics unit supports development through data, analytics and performance insights across our brands. As part of this journey, the EE Analytics agile team will continue to develop and maintain its own reporting and analytics products, while also building more reusable data and platform capabilities. We are looking for a senior Data Architect to help guide this work and shape the architecture, data models and integration patterns that make E/E engineering data trusted, understandable and reusable. This role combines a broad architectural perspective with practical technical work. You will help us make sound choices as the direction takes shape, working with data engineers, analysts and stakeholders across R&D. The resulting capabilities will support the team’s reporting and analytics, wider engineering needs, and AI-enabled applications where appropriate. The role itself remains focused on data architecture and engineering. Job Responsibilities As a Data Architect, you will: Shape and evolve the architecture for E/E engineering data, balancing current reporting and analytics needs with opportunities to develop reusable data capabilities. Design and review data models, shared definitions and integration patterns for relevant engineering data sources. Guide data engineering practices for data quality, lineage, traceability and ownership, in collaboration with the relevant system and platform owners. Work with analysts and stakeholders to ensure the data architecture supports reliable reporting, KPIs, performance insights and other agreed engineering needs. Identify opportunities to make data products and pipelines reusable, including for AI-enabled use cases, and collaborate with AI Enablement where relevant. Provide architectural guidance to data engineers and analysts, and contribute hands-on through design reviews, prototypes or technical problem-solving. Collaborate with product owners, engineering stakeholders, and data platform and governance teams across R&D. Who You Are You are an experienced data professional with strong architectural thinking and a solid technical foundation. You can connect the
