Senior Data & BI Architect

New

PolcodeEnergy data

100% remote (within Poland only) or in our office: WarszawaContractSenior

Salary100 - 170 PLN per hour

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Job Details

Languages: German C1 + English B2 minimum (must-have).
Experience: Several years of commercial experience in Data Warehousing, Data Engineering, and BI architecture
Required Skills: SQLApache AirflowMicrosoft Power BISnowflakeData modelingdbt

Several years of commercial experience in Data Warehousing, Data Engineering, and BI architecture.
Strong understanding of end-to-end data architectures and complex data flows.
Advanced SQL skills and solid experience with relational and dimensional data modeling.
Hands-on experience with dbt for data transformation and modeling.
Experience with Apache Airflow or similar orchestration tools.
Practical experience working with Snowflake.
Strong hands-on knowledge of Microsoft Fabric and modern data integration patterns.
Very good knowledge of Power BI Semantic Models and their architecture.
Advanced DAX skills, including measures, KPIs, time intelligence, and performance optimization.
Strong understanding of Star Schema, facts, dimensions, relationships, and hierarchies.
Experience analyzing and optimizing complex data pipelines and BI solutions.
German C1 and English B2 minimum.

Design, develop, and optimize end-to-end data architecture connecting the Sales Data Warehouse, Microsoft Fabric, and Power BI.
Maintain and enhance upstream data preparation processes using dbt and SQL.
Develop and optimize data processing and orchestration workflows using Apache Airflow.
Work with Snowflake-based data structures while supporting the platform's evolution towards Databricks.
Design and improve data integration patterns and data flows within Microsoft Fabric.
Develop and optimize Power BI Semantic Models using dimensional modeling and Star Schema principles.
Create and optimize DAX measures, KPIs, and time intelligence calculations.
Analyze and improve the performance of data pipelines, transformations, and semantic models.
Define standards for data structures, naming conventions, data quality, and reusability.
Make architectural recommendations, document technical decisions, and collaborate with business stakeholders, Data Engineers, and BI Developers.

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