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Data Architect

Cognitive Group | Part of the Focus Cloud Group
London
2 weeks ago
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Cognitive Group | Part of the Focus Cloud Group provided pay range

This range is provided by Cognitive Group | Part of the Focus Cloud Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Cognitive Group | Part of the Focus Cloud Group

Home based with occasional travel to London/UK client sites

(No sponsorship can be offered)

We’re looking for anAzure Data Architectwho candesign, build, and leadthe deployment of data platforms across Microsoft’s modern ecosystem—especiallyMicrosoft Fabric, Azure Synapse, and Databricks.

In thisdual-facing role, you’ll lead architecture for critical customer projects and also supportpre-sales activities, guiding technical conversations, shaping proposals, and defining best-fit solutions.

What You’ll Do

  • Lead architecturefor end-to-end data solutions—design, build, and deploy with delivery teams.
  • Architect reusable and scalable frameworks, includingmetadata-driven patternsandmedallion architecture
  • Own and drivedata modellingdecisions (e.g., Kimball/star schema) and technical direction.
  • Be anauthority in the room—confidently push back, challenge assumptions, and lead with credibility.
  • Support pre-sales activities, shaping solutions alongside sales and solution consultants.

You Bring

  • Strong architecture experience inMicrosoft Azuredata tools:
  • Microsoft Fabric(preferred)
  • OR Synapse / ADF / Databricks—with motivation to become Fabric-fluent
  • Hands-on leadership of data platform builds, ideally with aconsultancy or partner background
  • Real-world experience with:
  • Reusable architectures, frameworks, and standards
  • Metadata-drivendesign and automation
  • Customer-facing confidence—comfortable presenting to senior stakeholders and making architectural decisions stick
  • A strong technical curiosity—you want to beat the forefront of Microsoft’s evolving data stack

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting

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