AWS Data Architect for AI-Driven Platforms (Hybrid UK)

AWS Data Architect for AI-Driven Platforms (Hybrid UK)

Full-Time 110000 - 110000 £ / year (est.) No working from home possible
Sivara GmbH

At a Glance

  • Tasks: Design and architect enterprise-scale AWS data solutions for AI-driven platforms.
  • Company: Sivara GmbH, a forward-thinking tech company in the UK.
  • Benefits: Up to £110,000 salary, bonuses, and a comprehensive benefits package.
  • Other info: Hybrid work model with excellent opportunities for professional growth.
  • Why this job: Join a dynamic team and shape the future of AI with your expertise.
  • Qualifications: Experience in AWS data solutions and strong collaboration skills.

The predicted salary is between 110000 - 110000 £ per year.

Sivara GmbH is seeking an experienced AWS Data Solution Architect to work in the UK on hybrid projects. The ideal candidate will design and architect enterprise-scale AWS data solutions, drive migration initiatives, and collaborate with various teams.

Responsibilities include:

  • Building scalable data integration frameworks
  • Ensuring governance
  • Enabling AI capabilities

A competitive salary of up to £110,000 plus bonuses is offered, alongside a comprehensive benefits package and opportunities for professional growth.

AWS Data Architect for AI-Driven Platforms (Hybrid UK) employer: Sivara GmbH

Sivara GmbH is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the AWS Data Architect role. With a competitive salary of up to £110,000, comprehensive benefits, and ample opportunities for professional development, employees are empowered to thrive in their careers while working on cutting-edge AI-driven projects in a hybrid environment across the UK.

Sivara GmbH

Contact Details:

Sivara GmbH Recruitment Team

We think you need these skills to ace AWS Data Architect for AI-Driven Platforms (Hybrid UK)

AWS Data Solutions Architecture
Data Integration Frameworks
Enterprise-Scale Solutions Design
Migration Initiatives
Collaboration Skills
Governance in Data Management
AI Capabilities Enablement