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Information Architect – BI/Data Warehouse

Architecture

Information Architect – BI/Data Warehouse

Architecture

Domaniewska 39A, Warszawa

emagine Polska

Full-time
B2B
Senior
Remote

Tech stack

    Information Management

    advanced

    Data Modelling & Profiling

    advanced

    Data Mapping & Transformation

    advanced

    ETL/ELT

    advanced

    Azure Data Factory (ADF)

    advanced

    Databricks

    advanced

    SQL

    advanced

    3NF-style

    regular

    Notebook scripting (PySpark/Spark)

    regular

    insert-only, versioned data architectures

    regular

Job description

Industry: Transport & Logistics

Workload: Full-time

Contract Length: 6 months + possible extensions

Contract Model: B2B


Summary: The Information Architect role is crucial for redefining how data informs decision-making within the organisation by managing the modelling, profiling, and transformation of data into a cohesive enterprise analytical model.



Main Responsibilities:


  • Analyse and profile data from landed sources, understanding content, structure, and quality.

  • Design and maintain conceptual, logical, and physical data models to support analytical reporting.

  • Define data mappings and transformations from source systems into the enterprise model.

  • Implement transformation logic and insert-only processing using Databricks notebooks and SQL/PySpark.

  • Ensure full version control, reference consistency, and data reconciliation across the pipeline.

  • Collaborate closely with peers and business stakeholders to align models with real-world operations.

  • Contribute to documentation and design artefacts that clarify logic, mappings, and modelling rationale.

  • Promote visibility of data quality, origin, and significance through integrated profiling and validation techniques.


Key Requirements:


  • Information Management expertise.

  • Strong background in Data Modelling (Conceptual, Logical, Physical).

  • Data Profiling & Analysis experience.

  • Skills in Data Mapping & Transformation.

  • Familiarity with 3NF-style or other consistent data modelling paradigms

  • ETL/ELT Processing capabilities.

  • Process Reconciliation experience.

  • Experience with Azure Data Factory (ADGF) and Databricks.

  • Strong hands-on experience with SQL

  • Notebook scripting (e.g., PySpark or Spark)

  • Experience with insert-only, versioned data architectures


Other Details:


  • Location: EU-based

  • Team: Centre of Insight & Analytics

  • Reports to: Head of Information & Product Portfolio Management

Tech stack

    Information Management

    advanced

    Data Modelling & Profiling

    advanced

    Data Mapping & Transformation

    advanced

    ETL/ELT

    advanced

    Azure Data Factory (ADF)

    advanced

    Databricks

    advanced

    SQL

    advanced

    3NF-style

    regular

    Notebook scripting (PySpark/Spark)

    regular

    insert-only, versioned data architectures

    regular
Published: 10.10.2025
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Information Architect – BI/Data Warehouse

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Information Architect – BI/Data Warehouse

Domaniewska 39A, Warszawa

emagine Polska

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