Microsoft Fabric Data Architect – Enterprise Platform Lead

Microsoft Fabric Data Architect – Enterprise Platform Lead

Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the design of a modern enterprise data platform using Microsoft Fabric.
  • Company: Careerwise, a forward-thinking company in the London area.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and teamwork.
  • Why this job: Shape the future of data architecture and make a significant impact.
  • Qualifications: Expertise in data governance, metadata, and scalable data models required.

The predicted salary is between 72000 - 88000 Β£ per year.

Careerwise in the London area is seeking an experienced Data Architect to lead the design and evolution of a modern enterprise data platform, with a strong focus on Microsoft Fabric. You will define architecture for Lakehouse, Data Warehouse, real-time analytics and semantic models, and collaborate with Data Engineering, Analytics and enterprise teams.

The role requires deep expertise in data governance, metadata, and data quality, with proven ability to deliver scalable data models and integration.

Microsoft Fabric Data Architect – Enterprise Platform Lead employer: Careerwise

As a Senior Engineer in Data Engineering, you will join a dynamic team dedicated to delivering impactful data solutions within a large-scale programme. Our company fosters a collaborative work culture that prioritises employee growth through mentorship and continuous learning opportunities, all while working in a secure environment that values innovation and excellence. Located in the UK, we offer a unique chance to contribute to significant public sector projects, ensuring your work is both meaningful and rewarding.

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Contact Details:

Careerwise Recruitment Team

We think you need these skills to ace Microsoft Fabric Data Architect – Enterprise Platform Lead

SQL
Python
Communication Skills
Problem-Solving Skills
Data Engineering
Data Governance
Data Pipeline Development