AWS Data Architect - Cloud-Native Analytics & AI Leader

Jefferson Frank; Greater London; Hybrid; GBP 57,000 - 95,000; Full time

Benefits offered by this job

Hybrid working model

Comprehensive benefits package

Exposure to large-scale cloud, data &

Job summary

Jefferson Frank in Greater London is seeking an experienced AWS Data Architect to join its Technology Consulting practice. You will define architecture strategy and lead delivery of scalable data, analytics and AI platforms on AWS.

This role offers a hybrid working model, exposure to regulated and public sector projects, and opportunities to mentor teams while shaping enterprise data strategies for high-profile clients.

Qualifications

• Experience in data, analytics or AI architecture.
• Strong expertise with AWS data and analytics services.
• Experience designing batch and real‑time data processing solutions.
• Knowledge of API-based, microservices cloud patterns.
• Experience implementing machine learning and Generative AI solutions.
• Knowledge of data governance, security and compliance.

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.

Skills

AWS data services

Data architecture

Real-time processing

Batch processing

Cloud architecture

Leadership

Job description

Jefferson Frank in Greater London is seeking an experienced AWS Data Architect to join its Technology Consulting practice. You will define architecture strategy and lead delivery of scalable data, analytics and AI platforms on AWS.

This role offers a hybrid working model, exposure to regulated and public sector projects, and opportunities to mentor teams while shaping enterprise data strategies for high-profile clients.