Senior Data & BI Architect: Power BI & Fabric | Remote

Billennium; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Udemy Business

Private medical care

MultiSport card

Language lessons

Shopping vouchers

Job summary

Billennium is seeking a Senior Data & BI Architect to advance an end-to-end data and BI platform based on Microsoft Fabric and Power BI. You will design, implement, and optimise data pipelines from the Sales Data Warehouse and Open Data Platform into scalable semantic models.

The role blends hands-on data engineering with architectural decision-making to deliver high performance, maintainability, and reusable data assets for self-service analytics across our global clients.

Qualifications

• Extensive experience in Data Engineering, Data Warehousing, and BI Architecture.
• Strong SQL, relational and dimensional data modelling.
• Hands-on with dbt and data transformations.
• Experience with Apache Airflow or similar orchestration tools.
• Hands-on with Snowflake.
• Strong Fabric and Power BI experience, with DAX and performance tuning.
• Understanding of Star Schema, facts, dimensions, hierarchies.

Responsibilities

• Design and build data pipelines from VDWH/ODP to Power BI models.
• Develop and optimise Microsoft Fabric architecture.
• Create reusable data structures and standardise technical practices.
• Improve semantic models and time intelligence calculations.
• Collaborate with engineers and stakeholders and transfer knowledge.

Skills

Data Engineering

Data Warehousing

BI Architecture

SQL

dbt

Airflow

Snowflake

Microsoft Fabric

Power BI

DAX

Star Schema

Dimensional Modelling

Tools

Databricks

Python

Apache Spark

Job description

Billennium is seeking a Senior Data & BI Architect to advance an end-to-end data and BI platform based on Microsoft Fabric and Power BI. You will design, implement, and optimise data pipelines from the Sales Data Warehouse and Open Data Platform into scalable semantic models.

The role blends hands-on data engineering with architectural decision-making to deliver high performance, maintainability, and reusable data assets for self-service analytics across our global clients.