Data Platform Architect - Contract
Tenth Revolution Group
Charing Cross, United Kingdom
2 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Charing Cross, United Kingdom
Tech stack
Amazon Web Services (AWS)
Data analysis
Azure
Cloud Computing
Cloud Database
Continuous Integration
Data Infrastructure
Data Mining
Machine Learning
Cloud Services
Real Time Systems
Large Language Models
Generative AI
AI Platforms
Data Management
Job description
A leading consultancy is seeking a Data Platform Architect to design and deliver modern, cloud-native data, analytics and AI platforms. You will work across the full data value chain, shaping scalable, secure and sustainable solutions for a range of clients.
This role suits an experienced architect who enjoys advising stakeholders, leading small teams or workstreams, and remaining actively involved in hands-on delivery., * Architect end-to-end cloud data, analytics and AI platforms.
- Design solutions that integrate batch and Real Time processing.
- Establish robust data management, governance and life cycle approaches.
- Guide clients on modern analytics, Machine Learning, Generative AI and Large Language Model adoption.
- Lead small implementation teams or workstreams through design and delivery.
- Shape best practices around CI/CD, cloud infrastructure and platform engineering.
- Provide architectural oversight to ensure scalable, secure and well-engineered solutions., This role involves shaping modern data strategies, advising senior stakeholders, and providing engineering-grounded architectural leadership. The consultancy offers opportunities to work on high-impact data and AI transformation programmes.
Requirements
- 5+ years' experience in data, analytics and AI solution design and delivery.
- Strong background in cloud-centric architectures (Azure, AWS or GCP).
- Proven experience in designing data platforms and modern analytics ecosystems.
- Understanding of data life cycle, data management and governance principles.
- Knowledge of Machine Learning, Data Mining, Generative AI and LLMs in enterprise settings.
- Experience leading small teams or workstreams.
- Good understanding of CI/CD and modern infrastructure delivery practices.
- Experience in public sector or regulated industries (eg government, healthcare) is desirable.