Data Architect

London
8 months ago
Applications closed

Related Jobs

View all jobs

Snowflake Data Architect - £550 Inside IR35- Hybrid

Lead Data Engineer / Architect – Databricks Active - SC Cleared

Data Engineer

Graduate Data Engineer

Data Engineer

Data Engineer

Data Architect - SC Cleared

Remote (UK-based)
£90,(Apply online only),000 per annum plus benefits
Permanent | Central Government Projects

Current SC clearance is essential for this role. Applicants without valid clearance cannot be considered.

We're hiring an experienced Data Architect to join a consultancy delivering strategic digital transformation projects for central government clients. This is a fully remote position, with occasional travel for key meetings.

In this senior-level role, you'll lead the design and delivery of enterprise data solutions that meet complex business and technical requirements-ensuring alignment to architectural standards, governance, and long-term strategic goals.

You'll work across multidisciplinary teams to shape data strategy, develop and maintain data models, guide solution architecture, and act as a trusted consultant to senior stakeholders. You'll also play a key role in capability development, pre-sales support, and mentoring.

Key Requirements

✅ Active SC Clearance
✅ Strong knowledge of M365 ecosystem, with experience in Power BI and Power Platform (Power Brick)
✅ Expertise in enterprise data modelling, architecture governance, and cloud-based data solutions
✅ Strong consultancy and stakeholder engagement skills
✅ Experience delivering data architecture within central government or secure environments
✅ Comfortable leading discussions on strategy, design patterns, and data governance

Desirable

TOGAF certification or DAMA CDMP

Experience in secure SDLC and regulatory environments (e.g., GDPR)

Familiarity with tools like Sparx Enterprise Architect

Join a high-performing team helping to shape data-driven public services. You'll be part of a supportive, expert environment delivering meaningful, long-term impact across government programmes.

Apply now to be considered for this remote opportunity in a fast-paced, mission-critical space

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 Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.