Data Architect

Company Description 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 received 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. Job Description We are looking for a talented and experienced Data Architect to join our Budapest-based team. The successful candidate will play a central role in shaping our data landscape across multiple value streams. The role requires deep expertise in data integration, data modelling, and analytical engineering. You will collaborate closely with product, engineering, and analytics teams to design and govern data architectures that power key business capabilities.  Key Responsibilities Data Architecture & Modelling Design and maintain enterprise-wide data models, including conceptual, logical, and physical layers Lead data architecture for core platforms and support cross-value-stream data requirements Define data standards, naming conventions, and modelling best practices Evaluate and recommend appropriate data storage patterns (relational, dimensional, lakehouse, graph) Data Integration Architect and oversee data pipelines and ETL/ELT processes across source systems Design integration patterns for batch, near-real-time, and streaming data flows Ensure robust data lineage, traceability, and auditability across all pipelines Collaborate with engineering teams to implement scalable, resilient integration solutions Analytics Enablement Develop semantic and analytical data models that serve BI, reporting, and advanced analytics use cases Partner with analytics and data science teams to define trusted data products Champion a self-service data culture by enabling reusable, well-documented data assets Governance & Quality Define and enforce data quality rules, validation frameworks, and remediation processes Contribute to data governance policies, data cataloguing, and metadata management Work with stakeholders to manage data contracts and SLAs Stakeholder Collaboration Act as a trusted data advisor across multiple value streams and business units Facilitate technical workshops and design reviews with engineering and product stakeholders Communicate complex data architecture decisions clearly to both technical and non-technical audiences Qualifications Required Skills & Experience Essential 5+ years of experience in data architecture, data engineering, or a closely related role Strong proficiency in data modelling techniques: relational, dimensional (Kimball/Inmon), and Data Vault Hands-on experience with data integration tools and frameworks (e.g. Apache Kafka, dbt, Spark, Talend, or similar) Solid understanding of cloud data platforms (AWS, GCP, or Azure) and modern data stack components Advanced SQL skills and familiarity with Python or Scala for data engineering tasks Proven ability to translate business requirements into scalable data architecture solutions Preferred Prior exposure to event-driven architectures or real-time data platforms Experience working in agile, value-stream-aligned product organisations Familiarity with data mesh principles and decentralised data ownership models Knowledge of data governance frameworks and metadata management tools (e.g. Collibra, Alation, DataHub) Experience with analytical tools such as Looker, Tableau, Power BI, or Metabase What We're Looking For The ideal candidate brings both technical depth and cross-functional communication skills. You are comfortable moving between high-level architectural design and hands-on implementation. You thrive in collaborative, fast-paced environments and enjoy working across teams to solve complex data challenges. You bring a product mindset to data — treating data as an asset that must be reliable, discoverable, and useful. Additional information * Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.