Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AWS Technical Architect

Lichfield
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Architect

AWS Data Architect

Databricks Data Architect

Data Architect

Data Architect

Senior Data Architect

AWS TECHNICAL ARCHITECT
Hybrid working - 1 day per week in Lichfield

This brand new role as a Technical Architect is pivotal in optimising IT infrastructure and aligning technology strategies with business goals, making it an ideal position for ambitious professionals looking to make a significant impact.

You would join a small IT team and be comfortable jumping in and working as both the solution and technical architect. The focus for the business is the completion of AWS backend for their current stage of the transformation. Growing a data platform is also key. You need to be able to jump in and help devs with tech stories and also architect out the future state.

Responsibilities:

  • Partner with stakeholders across the organisation to align IT strategies with business objectives.
  • Evaluate the architectural landscape, defining current and target state architectures along with transition plans.
  • Lead the development and implementation of architecture governance frameworks and standards.
  • Create and maintain architectural documentation, including roadmaps and service catalogues.
  • Provide architectural support to projects, ensuring technology solutions meet business requirements.

    Skills:
  • Experience with IS technology solution implementations
  • 5+ years of experience with solution architecture, with experience across a broad range of solutions
  • 5+ years of experience with cloud technologies, e.g AWS
  • Experience of re-architecture of applications based on cloud strategy, e.g. MACH architecture
  • Experience of Information Security
  • Experience in Architectural Modeling and Diagramming
  • Experience of software development lifecycle
  • Experience of a Business Analysis Framework
  • Experience of a Project Management Framework
  • A bachelor's degree in science (BSc) in IT, application or network architecture, computer science or data architecture.

    Please apply asap if interested. GleeIT

    Please apply asap if interested. AWS Enterprise / Technical Architect

    At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.

    By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.