AWS Data Architect — Hybrid, AI-Driven Data Solutions

Jefferson Frank; Manchester; Hybrid; GBP 85,500 - 104,500; Full time

Benefits offered by this job

Hybrid working model

Comprehensive benefits package

Learning & career development

Job summary

Jefferson Frank, a leading UK consultancy, is seeking an experienced AWS Data Architect to join its Technology Consulting practice in Manchester. You will shape enterprise data strategies and deliver cloud-native architectures across regulated and public sector environments.

You will design enterprise-scale AWS data and analytics architectures, lead cloud-native data platforms, and guide teams of architects and engineers.

Qualifications

• Experience designing enterprise-grade AWS data and analytics architectures.
• Proven ability to design batch and real-time data processing solutions.
• Expertise in machine learning, Generative AI and AI-enabled solutions.
• Strong data governance, security and compliance knowledge.
• Excellent communication and leadership skills.

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 & analytics

Data architecture

Batch & real-time processing

Machine learning / Generative AI

Data governance & security

Leadership & communication

Job description

Jefferson Frank, a leading UK consultancy, is seeking an experienced AWS Data Architect to join its Technology Consulting practice in Manchester. You will shape enterprise data strategies and deliver cloud-native architectures across regulated and public sector environments.

You will design enterprise-scale AWS data and analytics architectures, lead cloud-native data platforms, and guide teams of architects and engineers.