SC Cleared Data Platform Architect – Cloud & AI

SC Cleared Data Platform Architect – Cloud & AI

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Cyber Security training courses

At a Glance

  • Tasks: Lead the design of enterprise-scale data and AI platforms in AWS.
  • Company: Cyber Security training courses with a focus on innovation.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Join a dynamic team driving real-time and batch processing innovations.
  • Why this job: Shape the future of data solutions and work with cutting-edge technologies.
  • Qualifications: SC clearance and experience in cloud-native data architecture.

The predicted salary is between 70000 - 90000 Β£ per year.

Cyber Security training courses is seeking a Data Platform Architect (SC Cleared) to lead the design of enterprise-scale data, analytics and AI platforms in AWS. The role involves shaping technical strategy, engaging senior stakeholders and guiding cloud-native data solutions across the full data lifecycle.

You will drive architectures for real-time and batch processing, promote API-first microservices, and support adoption of ML, AI, and responsible AI practices in heavily regulated environments.

SC Cleared Data Platform Architect – Cloud & AI employer: Cyber Security training courses

As an AI Engineer at our Central London office, you will be part of a dynamic team dedicated to pioneering cutting-edge AI solutions that drive business growth and enhance engineering capabilities. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional development, offering competitive salaries, performance bonuses, and the flexibility of a hybrid working model to ensure a healthy work-life balance.

Cyber Security training courses

Contact Details:

Cyber Security training courses Recruitment Team

We think you need these skills to ace SC Cleared Data Platform Architect – Cloud & AI

Data Platform Architecture
Cloud Computing (AWS)
AI and Machine Learning
API-first Microservices
Real-time Processing
Batch Processing
Technical Strategy Development