AWS Data Architect: Cloud-Native Data & AI Leader

Jefferson Frank; Newcastle upon Tyne; Hybrid; GBP 57,000 - 95,000; Full time

Benefits offered by this job

Hybrid working model

Comprehensive benefits package

Job summary

Jefferson Frank is seeking an experienced AWS Data Architect to join our Technology Consulting practice in a hybrid role. The position focuses on defining architecture strategy and providing leadership on data, analytics and AI platforms for high-profile, regulated and public sector projects.

You will work closely with client stakeholders and engineering teams to deliver secure, scalable cloud-native solutions, marrying data governance with modern APIs and microservices while guiding the data

Qualifications

• Experience as an AWS data/analytics architect delivering enterprise-scale solutions.
• Strong knowledge of AWS data services and analytics tooling.
• Experience designing both batch and real-time data processing architectures.

Responsibilities

• Design enterprise-scale AWS data and analytics architectures.
• Lead delivery of cloud-native data platforms across data lifecycle.
• Incorporate ML/Generative AI and LLM capabilities into solutions.
• Define governance, security, and standards for data architectures.
• Advise stakeholders on technology strategy and roadmaps.
• Mentor and lead cross-functional teams of architects and engineers.

Skills

AWS data & analytics services

Data/AI architecture

Batch & real-time processing

Data governance & security

Leadership & communication

Job description

Jefferson Frank is seeking an experienced AWS Data Architect to join our Technology Consulting practice in a hybrid role. The position focuses on defining architecture strategy and providing leadership on data, analytics and AI platforms for high-profile, regulated and public sector projects.

You will work closely with client stakeholders and engineering teams to deliver secure, scalable cloud-native solutions, marrying data governance with modern APIs and microservices while guiding the data