Fabric Data Platform Architect – Hands-on Lead

FULTOO LIMITED

Leeds

On-site

GBP 120,000 - 160,000

Part time

3 days ago
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Job summary

FULTOO is seeking an accomplished Microsoft Fabric Data Lead to architect and deliver an enterprise data platform in a hands-on leadership role. You will drive design standards, governance and integration patterns across Fabric, OneLake, Lakehouse and Data Factory, coaching teams to deliver robust pipelines and production-ready solutions.

The role emphasizes practical engineering experience, security governance and collaboration with business stakeholders to satisfy evolving analytics

Qualifications

  • Strong hands-on experience with Microsoft Fabric is essential.
  • Experience in Data Architecture and Solution Architecture.
  • Experience leading technical teams or Fabric implementations.
  • Ability to create and run prototype pipelines and demonstrations.

Responsibilities

  • Lead the design and architecture of Microsoft Fabric data solutions.
  • Design and implement Lakehouse, Data Warehouse and OneLake architectures.
  • Develop scalable data ingestion and transformation pipelines.
  • Define data architecture, modelling and integration strategies.
  • Lead the integration of Power BI with Microsoft Fabric.
  • Establish security, governance and performance best practices.
  • Work closely with stakeholders to translate requirements into solutions.
  • Provide technical leadership and guidance to development teams.
  • Review existing data platforms and recommend Fabric migration/modernisation strategies.
  • Create and run prototype pipelines and be hands-on with implementation.

Skills

Microsoft Fabric
Data Architecture
Lakehouse
Data Pipelines
Azure Data Services

Tools

OneLake
Azure Data Factory
Power BI

Job description

FULTOO is seeking an accomplished Microsoft Fabric Data Lead to architect and deliver an enterprise data platform in a hands-on leadership role. You will drive design standards, governance and integration patterns across Fabric, OneLake, Lakehouse and Data Factory, coaching teams to deliver robust pipelines and production-ready solutions.

The role emphasizes practical engineering experience, security governance and collaboration with business stakeholders to satisfy evolving analytics

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