Cloud Data & AI Platform Architect (Hybrid)

CRELIMUK Credera Limited; United Kingdom; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Competitive salary

Hybrid working model

Global opportunities

Job summary

Credera is recruiting a Data & AI Platform Architect in the UK to design cloud-native data, analytics and AI platforms for diverse clients. You will shape architectures, lead small teams, and ensure secure, scalable delivery across hybrid cloud environments.

The role requires expertise in data platforms (AWS/Azure), modern data warehouses/lakehouses, ML/Generative AI, and strong communication to translate business needs into pragmatic technical solutions.

Qualifications

• 5+ years in data & analytics and AI solution design.
• Experience leading solution implementation for small teams or workstreams.
• Strong understanding of cloud-centric approaches to solution design and architecture.
• CI/CD and modern approaches to IT and infrastructure delivery.
• Public sector or regulated industry experience desirable.

Responsibilities

• Define and implement platform architectures for cloud-native PaaS and SaaS applications with a focus on data, analytics and AI.
• Design scalable data and AI platform components that support client business and strategic goals.
• Ensure seamless data flow across microservices- and API-driven architectures.
• Establish best practices for real-time and batch processing in hybrid cloud environments.
• Define and promote principles and best practices to help clients leverage data using modern analytics technologies.

Skills

Cloud data platforms

Data & analytics

AI solution design

Leadership

CI/CD

SQL

Python/Java

Architectural governance

Tools

Databricks

Snowflake

BigQuery

Redshift

Synapse

Job description

Credera is recruiting a Data & AI Platform Architect in the UK to design cloud-native data, analytics and AI platforms for diverse clients. You will shape architectures, lead small teams, and ensure secure, scalable delivery across hybrid cloud environments.

The role requires expertise in data platforms (AWS/Azure), modern data warehouses/lakehouses, ML/Generative AI, and strong communication to translate business needs into pragmatic technical solutions.