NeuReferenz: a0M1i00000OvYjT.1_1779274236

Fabric Architect

Sweden

  • Negotiable
  • Architect Stelle
  • Fähigkeiten: Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Dataflows Gen2, Notebooks) OneLake & Delta Lake / Parquet, Medallion architecture (Bronze / Silver / Gold), Azure Data Services, Azure Synapse Analytics, Azure Databricks
  • Niveau: Senior

Jobbeschreibung

Fabric Architect

a0M1i00000OvYjT.1_1779274236

About the Engagement

We are looking for an experienced Microsoft Fabric Architect to join us on a freelance basis to lead the design and delivery of our enterprise data platform. This is a hands-on contract role, ideal for an independent consultant who can hit the ground running and take ownership of critical architecture decisions from day one.

You will be embedded within our Data & Analytics team, working alongside internal engineers, BI developers, and senior stakeholders to deliver a robust and scalable Microsoft Fabric environment within an agreed timeframe.



Platform Architecture & Design

* Define and document the end-to-end Microsoft Fabric architecture including OneLake, Lakehouses, Warehouses, Data Pipelines, and Semantic Models.
* Establish workspace strategy, capacity planning, and governance frameworks tailored to the organisation's needs.
* Assess and lead migration of existing Azure data assets (Synapse, ADF, ADLS, Power BI Premium) to Microsoft Fabric.
* Produce architecture decision records (ADRs), solution design documents, and technical roadmaps.



Essential stack

* 5+ years in data architecture or senior data engineering, with recent hands-on Microsoft Fabric experience.
* Demonstrable experience delivering Microsoft Fabric solutions including Lakehouses, Warehouses, Pipelines, Dataflows Gen2, and Fabric notebooks.
* Strong background in Azure data services: Synapse Analytics, ADLS Gen2, Azure Data Factory, Azure Databricks.
* Proficient in SQL, PySpark, and Python for data engineering and transformation.
* Experience with medallion / lakehouse architecture and dimensional data modelling.
* Solid Power BI architecture knowledge including Direct Lake and semantic model design.
* Comfortable working in a DevOps / Agile environment with Git-based deployments and CI/CD pipelines.
* Proven ability to deliver independently with minimal supervision in a contract setting.
* Strong documentation skills and the ability to produce clear technical artefacts.