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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
Apply at Deutsche Telekom IT Solutions

What you’ll work on

Full posting
  • Design 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 qualifications

Core 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

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Actively 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

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Job description

View original posting ↗

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

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Pay

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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
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