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Principal Data Architect (Contract)

We are recruiting for an experienced Principal Data Architect to lead the design and delivery of enterprise-scale cloud data platforms for a large, complex organisation. This is a hands-on architecture role with real ownership across data strategy, platform design, governance and delivery.

You will define end-to-end data architecture for high-impact programmes, working across cloud data platforms, analytics, and advanced data use cases. The role covers solution architecture, data modelling, integration patterns, security, governance and cost optimisation, while partnering closely with senior technical and business stakeholders.

Key Responsibilities

  • Own and define enterprise data architecture across large-scale initiatives

  • Design logical and physical data models and platform architectures

  • Lead cloud data platform implementations and migrations

  • Define data governance, security, lineage, RBAC and compliance controls

  • Oversee data pipelines, ETL/ELT, CDC, streaming and integrations

  • Optimise performance and cost across platforms such as Snowflake and Azure

  • Support analytics, reporting, ML and AI use cases

  • Act as a trusted advisor to senior stakeholders

    Essential Skills & Experience

  • Strong background in Data Architecture and Cloud Data Platforms

  • Hands-on experience with Snowflake, Azure, Databricks and/or Microsoft Fabric

  • Data integration, ETL/ELT, APIs, streaming technologies

  • Data modelling (relational, dimensional, NoSQL)

  • Data governance, security, GDPR and compliance frameworks

  • Experience delivering complex data migrations or modernisation programmes

    This role suits a senior/principal-level architect who enjoys ownership, delivery and influencing at scale.

    Apply now for a confidential discussion

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Where to Advertise Data Science Jobs in the UK (2026 Guide)

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Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.