National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Architect...

SF Technology Solutions
Birmingham
1 day ago
Create job alert

Job Description

About the Company

A well-established regulatory organisation is looking for an experienced Data Architect to lead the design, development, and maintenance of enterprise-wide data models. This role will be pivotal in supporting both regulatory and operational reporting needs and will work closely with enterprise architecture, BI, and data engineering teams.

About the Role

This is a hands-on architecture role requiring strong stakeholder engagement, a strategic mindset, and the ability to lead technical data initiatives from concept to implementation.

Responsibilities

  • Design and maintain enterprise data models across key platforms including Dynamics 365, internal CRM, finance systems, and Azure-based environments.
  • Collaborate with the Enterprise Architect to define and lead the data strategy and architecture across the estate.
  • Work closely with BI and business improvement teams to ensure models meet analytical and reporting needs.
  • Lead and coach a small team of Data Engineers in delivering structured, secure, and scalable data solutions.
  • Own the end-to-end data lifecycle including ingestion, transformation (ELT), retention, integration, and governance.
  • Support development and maintenance of Common and Semantic Data Models (CDM/SDM) for enterprise reporting layers.
  • Manage large-scale data migrations and integrations with multiple source systems.
  • Ensure compliance with data security, integrity, and audit requirements.

    Qualifications

  • Proven experience in data architecture roles within complex organisations.

    Required Skills

  • Strong knowledge and hands-on experience with Microsoft Dynamics 365, Power BI, Data Factory, and PowerApps.
  • Direct experience querying, extracting, and analysing Dynamics data via APIs is essential.
  • Strong understanding of Azure-based data solutions and modern data warehousing principles.
  • Experience leading or heavily contributing to enterprise data programmes and transformations.
  • Confident translating business requirements into scalable, secure technical designs.
  • Strong T-SQL and ELT pipeline development experience.

    Preferred Skills

  • Familiarity with Microsoft Fabric, Purview, and Databricks.
  • Experience in regulated industries, especially legal or public sector.
  • Understanding of GDPR, FOI, and data retention/destruction best practices.
  • Exposure to Agile delivery environments.

    £600/day (Inside IR35)

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.