Data Architect (m/f/d)
Employer · Deutsche Telekom
Database administrator
Systems analystSoftware developerFull-timeBudapest
We are looking for a talented and experienced Data Architect to join our team in Budapest. The successful candidate will play a pivotal role in shaping our data landscape across multiple value streams. This role requires deep expertise in data integration, data modeling, and analytical engineering.
Tasks
- Design and maintenance of enterprise-wide data models, including conceptual, logical, and physical layers
- Lead data architecture for core platforms and support cross-value-stream data requirements
- Definition of data standards, naming conventions, and best practices for modeling
- Evaluation and recommendation of suitable data storage patterns (relational, dimensional, Lakehouse, graph)
- Architecture and monitoring of data pipelines and ETL/ELT processes across source systems
- Design of integration patterns for batch, near-real-time, and streaming data flows
- Ensure robust data lineage, traceability, and auditability across all pipelines
- Collaboration with engineering teams to implement scalable, resilient integration solutions
- Development of semantic and analytical data models supporting BI, reporting, and advanced analytics use cases
- Partnership with analytics and data science teams to define trusted data products
- Promotion of a self-service data culture by providing reusable, well-documented data assets
- Definition and enforcement of data quality rules, validation frameworks, and remediation processes
- Contribution to data governance policies, data cataloging, and metadata management
- Collaboration with stakeholders to manage data contracts and SLAs
- Act as a trusted data advisor across multiple value streams and business areas
- Facilitation of technical workshops and design reviews with engineering and product stakeholders
- Clear communication of complex data architecture decisions to both technical and non-technical audiences
Requirements
- At least 5 years of experience in data architecture, data engineering, or a closely related role
- Strong knowledge of data modeling 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)
- Solid understanding of modern data stack components
- Advanced SQL skills
- Familiarity with Python or Scala for data engineering tasks
- Proven ability to translate business requirements into scalable data architecture solutions
- Cross-functional communication skills
- Ability to clearly communicate complex data architecture decisions to both technical and non-technical audiences