Edinburgh Hybrid Data Architect – Cloud & Lakehouse

Edinburgh Hybrid Data Architect – Cloud & Lakehouse

Full-Time 72000 - 88000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and implement data solutions while collaborating with a talented team.
  • Company: Bright Purple, a forward-thinking company in Edinburgh.
  • Benefits: Flexible hybrid work, competitive pay, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and excellence.
  • Why this job: Shape the future of data architecture and make a real impact.
  • Qualifications: Experience in data architecture and strong collaboration skills.

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

Bright Purple in Edinburgh is seeking an experienced Data Architect for a 6-month hybrid contract.

You’ll translate architecture principles into practical data solutions across ingestion, processing, storage, integration and consumption.

You’ll collaborate with data engineers, platform engineers, software engineers and governance teams to define reusable patterns and guardrails, ensure security, data quality and observability, and deliver scalable, cost-aware data systems.

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Edinburgh Hybrid Data Architect – Cloud & Lakehouse employer: Bright Purple

Bright Purple is an exceptional employer that fosters a high-performing and collaborative work culture, where innovation thrives. With a focus on AI-assisted coding and cutting-edge technologies like C# and Azure, employees are empowered to take ownership of their projects while enjoying flexible hybrid work arrangements in vibrant cities like London or Edinburgh. The company prioritises employee growth through continuous learning opportunities and encourages a supportive environment that values best practices across the development lifecycle.

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Contact Details:

Bright Purple Recruitment Team

We think you need these skills to ace Edinburgh Hybrid Data Architect – Cloud & Lakehouse

Data Architecture
Cloud Solutions
Lakehouse Architecture
Data Ingestion
Data Processing
Data Storage
Data Integration