Data Architect

Budapest; Pécs; Debrecen; Szeged

Actively hiring, first seen by us 1 day ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

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
Design integration patterns for batch, near-real-time and streaming data
Define and enforce data quality rules and validation frameworks
Build semantic and analytical data models for BI and advanced analytics

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

Design integration patterns for batch, near-real-time, and streaming data flows

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

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)

Apply at Deutsche Telekom

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 4, 20261 day ago
Recorded sightings: 2
Last seen by us: Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 7 and day 54.

At Deutsche Telekom, jobs usually come down by about day 19.

From 8,046 similar postings that came down, and 26 of Deutsche Telekom’s. Coming down is not always a hire.

Deutsche Telekom is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Takes jobs down quickly

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
Scala
SQL
AWS
Azure
dbt
GCP
Kafka
Looker
Metabase
Power BI
Spark
Tableau

Where the posting names them

- 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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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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.

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