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Domain Architect - Analytics & Data (REF5726E)

Deutschetelekomitsolutions·Worldwide·Budapest, Debrecen, Pécs, Szeged, HU·senior
sap
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As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team. About the Role We are looking for an experienced Enterprise Architect to shape and evolve our enterprise Analytics & Data landscape. You will define target architectures, drive transformation initiatives, support strategic platform decisions, and ensure alignment across business and technology domains. One example is CSBI, a strategic Finance analytics environment based on SAP BW technologies. Key focus areas include cloud-native analytics, SAP Business Data Cloud, governed data products, and AI-enabled data capabilities. Key Responsibilities Own and evolve the architecture of enterprise analytics and data platforms. Define target architectures, architectural standards, and transformation roadmaps. Drive modernization, optimization, consolidation, migration, and platform simplification initiatives. Establish architectural principles for data integration, modelling, semantic layers, reporting, and analytics consumption. Support the adoption of strategic platforms including SAP Business Data Cloud and related analytics technologies. Ensure consistency, governance, and effective collaboration across business, architecture, and technology teams. Assess impacts of enterprise transformation initiatives on analytics, reporting, data flows, and data products. Support AI and advanced analytics initiatives while ensuring

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