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Data Architect / Data Modeller

Open 23d

Data Architect / Data Modeller

Hybrid model – 6 days per month onsite (Kraków) Rate: 180–200 PLN/h B2B

We are looking for an experienced Data Architect / Data Modeller to join the CIB Data & Analytics IT organisation, responsible for defining data management principles and delivering core data services across a large‑scale financial environment. The role combines architectural leadership, modelling expertise, and close collaboration with global stakeholders in a dynamic and demanding setting.

What We Offer:

  • Long‑term B2B cooperation at 180–200 PLN/h.
  • Hybrid work model with 6 days per month onsite in Kraków.
  • Private medical care package LuxMed.
  • Multisport card.
  • Work in a global, modern, data‑driven environment within CIB Data & Analytics IT.
  • Opportunity to influence enterprise‑level data architecture and modelling standards.

Core Skills & Requirements:

  • 5+ years of experience as a Data Architect in a large, complex, geographically dispersed organisation.
  • Strong understanding of data value, data management, and applying technology to business strategy.
  • Experience in Financial Services, especially in data‑focused domains (Data Architecture, Data Governance, Data Management).
  • Proven logical data modelling skills and experience delivering conceptual and logical models.
  • Ability to think abstractly, recognise architectural patterns, and see the bigger picture.
  • Knowledge of industry modelling standards (BIAN, FSDM, BDW).
  • Strong analytical skills with the ability to challenge designs and resolve complex issues.
  • Ability to quickly understand existing data landscapes and apply modelling skills to new contexts.
  • Experience with modelling tools such as Visual Paradigm, IBM Infosphere Data Architect, or Erwin.
  • Excellent communication skills, including virtual collaboration across regions.
  • Strong planning, organisation, and time‑management abilities.
  • Ability to work independently with high self‑awareness and ownership.

Nice to Have:

  • Experience with Hadoop ecosystems (Cloudera/HortonWorks).
  • Exposure to GCP, Azure, or equivalent cloud data platforms (BigQuery, Dataflow, Dataproc).
  • Experience with streaming technologies (Kafka, Flink, Pub/Sub).
  • Understanding of integration patterns and MDM principles.
  • Familiarity with enterprise architecture frameworks such as TOGAF.
  • Experience working in agile delivery environments.

See also