Databricks Data Architect

Gravitas Recruitment Group (Global) Ltd

City of Edinburgh, Manchester, Greater London

Hybrid

GBP 100,000 - 130,000

Full time

14 days+

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Job summary

Gravitas Recruitment Group (Global) Ltd is seeking an experienced Data Architect to design and implement modern data platforms using Databricks. This UK-based role offers hybrid working flexibility in locations like Edinburgh, Manchester, or London.

The successful candidate will lead the architecture of Lakehouse solutions supporting advanced analytics and AI/ML, working closely with clients to deliver real business value. A key requirement is at least 5 years of experience in Data Architecture and 3 years with Databricks.

The position offers a competitive salary of up to £130,000 per annum and the opportunity to work on innovative projects.

Qualifications

  • At least 5 years experience in Data Architecture.
  • 3+ years with Databricks.
  • End to end pre‑sales experience.

Responsibilities

  • Architect and implement Databricks Lakehouse solutions end‑to‑end.
  • Design scalable data models and pipelines using Spark, Delta Lake, and PySpark.
  • Lead client engagements, shaping data strategies.

Skills

Data Architecture
Databricks
Stakeholder communication
Azure
Data modelling

Job description

We’re looking for an experienced Data Architect to design and deliver modern, scalable data platforms built on Databricks. You’ll lead the architecture of Lakehouse solutions supporting advanced analytics, AI/ML, and business intelligence, working closely with clients to shape data strategies and deliver real business value.

This is a UK‑based role (Edinburgh, Manchester, or London) with hybrid working and occasional client site visits.

Salary: Up to £130,000 per annum

Start Date: ASAP (our client can work around notice periods of up to 3 months)

Employment type: Permanent

What you’ll do
  • Architect and implement Databricks Lakehouse solutions end‑to‑end
  • Design scalable data models and pipelines using Spark, Delta Lake, and PySpark
  • Lead client engagements, shaping data strategies and best‑practice architectures
  • Win business through presenting solutions and advising potential clients
  • Optimise Databricks performance, security, and cost efficiency
  • Implement governance, CI/CD, and cloud best practices
What you’ll bring
  • At least 5 years experience in Data Architecture
  • 3+ years with Databricks
  • End to end pre‑sales experience
  • Experience with Azure
  • Solid understanding of data modelling (Kimball, 3NF, Data Vault)
  • Excellent stakeholder communication and consulting skills

Databricks certifications highly desirable.

Interviews are taking place next week, so if you're interested, please apply today and we’ll be in touch shortly.

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