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

Apply Now

Data Architect

Prevail
London
10 months ago
Applications closed

Related Jobs

View all jobs

Technical Architect - Data Science

Lead Data & Machine Learning Architect

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Lead Data & Machine Learning Architect

Lead Data & Machine Learning Architect

Senior Palantir Data Scientist

We’re looking for an experienced Data Architect to join our team and lead the development of transformative, cloud-based data solutions with a focus on AWS platforms. This full-time role is ideal for someone with a strong background in cloud data architecture and AWS services, committed to building secure, scalable data ecosystems that empower informed decision-making across Prevail. 

Responsibilities:  

This role goes beyond technical design—it's about setting standards and building a data architecture that serves our strategic vision. While the following outlines your core responsibilities, your contributions will extend further to support our ambitious growth. 

  • Data Architecture Design: Design high-performance, scalable, and future-ready data solutions on AWS that align with projected business needs and technical requirements. Collaborate with senior leadership to advance a cloud-native data strategy that enhances our operational capabilities. 
  • Cloud and Data Expertise: Lead best practices in data governance, storage, integration, and analytics to ensure data integrity, security, and accessibility. 
  • Data Compliance and Security Management: Establish and maintain a robust framework for data management to ensure quality, security, and compliance. Introduce tooling to support these standards, creating a secure and compliant data environment. 
  • Stakeholder Collaboration: Partner with internal and external stakeholders to translate complex challenges into scalable, effective solutions. Your ability to communicate clearly with technical and non-technical teams will support overarching company goals. 
  • Mentorship and Guidance for Engineering Teams: Lead by example, providing architectural guidance and best practices to optimise data pipelines for performance and efficiency. Share your expertise to elevate standards of scalability and maintainability within the team. 

Requirements

You will have previous experience: 

  • Seasoned Expertise: Very strong experience in data architecture, engineering, or related fields, with several years focused on AWS services. 
  • AWS Proficiency: Skilled in AWS-native data services, including EC2, Athena, S3, Redshift, DynamoDB, and Glue. 
  • Infrastructure as Code (IaC): Competent in IaC tools such as Terraform and AWS CloudFormation, bringing automation and resilience to our data infrastructure. 
  • Vision, Adaptability, and Insight: Proven ability to design resilient architectures that adapt to evolving business needs and diverse client requirements. 
  • Data Science and Analytics Acumen: Strong understanding of data processing, streaming technologies, and ETL governance, supporting complex data science and analytics needs. 
  • AWS Security Competence: Comprehensive knowledge of networking, security, and identity management within AWS environments. 
  • Compliance Leadership: Extensive experience in data compliance, managing secure frameworks, and adhering to regulatory standards, including managing sensitive data categories. 
  • Collaboration and Communication Skills: Your ability to communicate complex technical concepts clearly makes you a valued partner across multidisciplinary teams. 

Benefits

Competitive salary, salary sacrifice pension, access to onsite gym facilities, enhanced leave polices, and private healthcare after two years at Prevail.

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.