Data Architect

Location: Hybrid in Budapest, Debrecen, Pécs, or Szeged, Hungary. Remote work is available only within Hungary due to European taxation regulations.

Company

hirify.global is a Deutsche Telekom Group subsidiary providing IT and telecommunications services to large customers in Germany and other European countries, with more than 5,300 employees across Hungary.

What you will do

• Design and maintain conceptual, logical, and physical enterprise-wide data models.
• Lead data architecture for core platforms and define storage patterns across relational, dimensional, lakehouse, and graph systems.
• Architect batch, near-real-time, and streaming data pipelines, including ETL/ELT processes, lineage, traceability, and auditability.
• Develop semantic and analytical data models for BI, reporting, and advanced analytics use cases.
• Define data quality rules, validation frameworks, governance policies, metadata practices, data contracts, and SLAs.
• Facilitate architecture workshops and communicate technical decisions to engineering, product, analytics, and business stakeholders.

Requirements

• 5+ years of experience in data architecture, data engineering, or a closely related role.
• Strong knowledge of relational, dimensional, Kimball/Inmon, and Data Vault modelling techniques.
• Hands-on experience with data integration tools and frameworks such as Apache Kafka, dbt, Spark, or Talend.
• Understanding of AWS, GCP, or Azure cloud data platforms and modern data stack components.
• Advanced SQL skills and familiarity with Python or Scala for data engineering tasks.
• Ability to translate business requirements into scalable data architecture solutions.

Nice to have

• Experience with event-driven architectures, real-time data platforms, or agile value-stream-aligned product organisations.
• Familiarity with data mesh, decentralised data ownership, governance frameworks, and metadata tools such as Collibra, Alation, or DataHub.
• Experience with Looker, Tableau, Power BI, or Metabase.

Culture & Benefits

• Collaboration with product, engineering, analytics, data science, and business teams across multiple value streams.
• Work in a fast-paced environment with a product mindset toward reliable, discoverable, and useful data.
• Hybrid work arrangement within Hungary.