Data Architect
Budapest, Debrecen, Pécs, Szeged, Hungary
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign and maintain conceptual, logical and physical enterprise data models
Oversee data pipelines and ETL/ELT processes across source systems
Define and enforce data quality rules and validation frameworks
Develop semantic and analytical data models for BI and advanced analytics
Design batch, near-real-time and streaming integration patterns
From the employer’s posting
Design and maintain enterprise-wide data models, including conceptual, logical, and physical layers
Architect and oversee data pipelines and ETL/ELT processes across source systems
Define and enforce data quality rules, validation frameworks, and remediation processes
Develop semantic and analytical data models that serve BI, reporting, and advanced analytics use cases
Design integration patterns for batch, near-real-time, and streaming data flows
What you’ll bring
All qualificationsCore experience
- 5+ years of experience in data architecture, data engineering, or a closely related role
- Experience working in agile, value-stream-aligned product organisations
- Strong proficiency in data modelling techniques: relational, dimensional (Kimball/Inmon), and Data Vault
- Familiarity with data mesh principles and decentralised data ownership models
- Hands-on experience with data integration tools and frameworks (e.g.
- Knowledge of data governance frameworks and metadata management tools (e.g.
Qualification wording
5+ years of experience in data architecture, data engineering, or a closely related role
Experience working in agile, value-stream-aligned product organisations
Strong proficiency in data modelling techniques: relational, dimensional (Kimball/Inmon), and Data Vault
Familiarity with data mesh principles and decentralised data ownership models
Hands-on experience with data integration tools and frameworks (e.g. Apache Kafka, dbt, Spark, Talend, or similar)
Knowledge of data governance frameworks and metadata management tools (e.g. Collibra, Alation, DataHub)
Tools in this posting
- Python
- Scala
- SQL
- AWS
- Azure
- dbt
- GCP
- Kafka
- Looker
- Metabase
- Power BI
- Spark
- Tableau
Source — Tool mentions in context
- 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
- 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
- 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
- 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
Posting record
Report an errorActively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 16, 2026 · 5 days ago
- Recorded sightings
- 9
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
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.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Budapest, Debrecen, Pécs, Szeged, Hungary
Additional Information * Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation. Company Description
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.