AWS Data Architect in London

AWS Data Architect in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Cyber Security training courses

At a Glance

  • Tasks: Design and lead AWS data architectures for innovative cloud-native solutions.
  • Company: Leading consultancy with a focus on technology and data transformation.
  • Benefits: Up to £95,000 salary, hybrid working, and comprehensive benefits.
  • Other info: Join a dynamic team with clear progression and continuous learning opportunities.
  • Why this job: Shape enterprise data strategies and work on high-profile projects.
  • Qualifications: Experience in data architecture and strong AWS expertise required.

The predicted salary is between 70000 - 90000 £ per year.

A leading consultancy is seeking an experienced AWS Data Architect to join its growing Technology Consulting practice. This is an opportunity to work on high-profile projects across regulated and public sector environments, shaping enterprise data strategies and delivering cutting-edge cloud-native solutions.

The Role

As a Data Architect, you will be responsible for defining architecture strategy, providing technical leadership and guiding the delivery of scalable data, analytics and AI platforms. Working closely with senior client stakeholders, engineering teams and business leaders, you will help organisations unlock value from their data while ensuring solutions are secure, resilient and future‑ready.

Responsibilities

  • Designing enterprise‑scale AWS data and analytics architectures
  • Leading the delivery of cloud‑native data platforms across the full data lifecycle
  • Integrating machine learning, Generative AI and large language model capabilities into business solutions
  • Defining data governance, security and architecture standards
  • Advising senior stakeholders on technology strategy and roadmap development
  • Leading and mentoring multidisciplinary teams of architects and engineers

About You

  • Experience in data, analytics or AI architecture
  • Strong expertise across AWS data and analytics services
  • Experience designing both batch and real‑time data processing solutions
  • Knowledge of modern cloud architecture patterns including APIs and microservices
  • Experience implementing machine learning, Generative AI and AI‑enabled solutions
  • Strong understanding of data governance, security and compliance requirements
  • Excellent communication and leadership skills

What’s on Offer

  • Salary up to £95,000
  • Comprehensive benefits package
  • Hybrid working model
  • Continuous learning and career development opportunities
  • Exposure to large‑scale cloud, data and AI transformation programmes
  • Opportunity to work alongside highly experienced consultants and architects
  • Clear progression path within a growing consultancy environment

AWS Data Architect in London employer: Cyber Security training courses

As an AI Engineer at our Central London office, you will be part of a dynamic team dedicated to pioneering cutting-edge AI solutions that drive business growth and enhance engineering capabilities. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional development, offering competitive salaries, performance bonuses, and the flexibility of a hybrid working model to ensure a healthy work-life balance.

Cyber Security training courses

Contact Details:

Cyber Security training courses Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AWS Data Architect in London

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We think you need these skills to ace AWS Data Architect in London

AWS Data Services
Data Architecture
Cloud-Native Solutions
Machine Learning Integration
Generative AI
Large Language Models
Data Governance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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