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    Data Architect

    Technology
    83zero Ltd
    London, City
    Permanent
    Competitive
    On-Site

    Job Description

    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).

    Posted on August 12, 2026

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