Fabric Data Platform Architect - Hybrid/Remote

Context& Finland Oy

Helsinki

Hybrid

EUR 90,000 - 130,000

Full time

37 hours ago

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Benefits offered by this job

Hybrid work

Remote work in Finland

Skills development

Job summary

Context& Finland Oy is seeking a seasoned Data Platform Architect to shape client data platforms built on Microsoft Fabric. You will own architecture and lead migrations, designing secure, scalable data models and operational pipelines.

You will work with Lakehouse, Data Factory pipelines, and notebooks, ensuring data prepares for Power BI and AI agents. Fluent Finnish and strong English are required, with hybrid work from Helsinki and Finland-wide remote options.

Qualifications

Several years of experience in data engineering or data platform development with responsibility for architecture and technical decisions.
Strong hands-on experience with Microsoft Fabric, especially Lakehouse, Warehouse, Data Factory and notebooks.
Excellent SQL skills and solid PySpark or Spark experience.
Deep understanding of lakehouse and data warehouse architecture, dimensional modelling, data quality and performance tuning.
Working knowledge of Azure services that support Fabric (Entra ID, Key Vault, networking, private endpoints, Azure DevOps or GitHub, Azure Data Lake Storage).
Ability to explain technical choices clearly to both technical and business people.
Fluent Finnish and good English.

Responsibilities

Own the architecture of client data platforms built mainly on Microsoft Fabric: OneLake, Lakehouse, Warehouse, Data Factory pipelines, notebooks and Real-Time Intelligence.
Lead migrations from Azure Synapse and other older Azure platforms to Fabric, including planning, roadmaps and hands-on delivery.
Design medallion architectures (bronze/silver/gold), data models and semantic layers that are secure, scalable, cost-efficient and easy to monitor.
Define how Fabric is governed and run: workspaces and environments, capacity sizing and cost, security and access, CI/CD with Git and deployment pipelines.
Build and review pipelines and transformations with SQL and PySpark, and set engineering standards for the team.
Prepare data so it is ready for Power BI, Copilot and Fabric data agents.
Act as a trusted technical advisor to clients, support pre-sales, and coach and mentor others in the team.