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Permanent

Data Architect

83zero Ltd
City of London
money-bag £90000 - £100000/annum
Posted: 20 July 2026 (Yesterday)
Closing date: 19 August 2026
Ref: 225389693

Location: London (Hybrid - 1-2 days per week onsite)
Salary: -90,000 - -100,000 + Excellent Benefits
Job Type: Permanent

Are you an experienced Data Architect looking to shape the future of enterprise data platforms?

We''re working with a leading global organisation that is investing heavily in cloud, data and AI transformation. As part of this growth, they''re looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions.

This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with some of the latest cloud technologies.

The Role

As a Senior Data Architect, you''ll be responsible for designing scalable, secure and high-performing data platforms across cloud environments. You''ll work closely with technical teams, stakeholders and business leaders to define architecture, establish best practices and deliver modern data solutions.

Key Responsibilities

  • Design and architect enterprise-scale cloud data platforms.
  • Define data architecture strategies, standards and governance.
  • Deliver modern data solutions using Databricks, Snowflake, AWS and GCP.
  • Enable advanced analytics, AI and machine learning capabilities.
  • Work closely with engineering, data and business teams to deliver end-to-end solutions.
  • Provide technical leadership throughout the project lifecycle.
  • Ensure solutions are secure, scalable and aligned with business objectives.

Skills & Experience

We''re looking for professionals with experience in:

  • Enterprise Data Architecture.
  • Databricks.
  • Snowflake.
  • AWS and/or GCP.
  • Designing modern cloud data platforms.
  • Data Lakes, Data Warehouses and Lakehouse architectures.
  • Data governance, security and architecture best practices.
  • AI, Machine Learning or Data Science platforms (highly desirable).
  • Banking, Financial Services or other highly regulated industries (preferred).

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