Senior Data Architect - AI-Driven Sales Platform

Senior Data Architect - AI-Driven Sales Platform

Full-Time 81000 - 99000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Shape data usage for sales decisions and build AI-powered infrastructure.
  • Company: Join Apple, a leader in innovation and technology.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and collaboration.
  • Why this job: Make a real impact on AI-driven sales strategies and collaborate with top talent.
  • Qualifications: Experience in data architecture and strong problem-solving skills.

The predicted salary is between 81000 - 99000 £ per year.

Apple is seeking a Data Architect for EMEIA Sales to shape how the sales organisation uses data for critical business decisions. You will build infrastructure for AI-powered retrieval, become the backbone for AI assistants, copilots, and language interfaces, and work with sales, data scientists, and engineers to deliver production-grade data platforms.

You will own features end-to-end, design scalable data pipelines, and translate complex business questions into clear data/AI problems.

Senior Data Architect - AI-Driven Sales Platform employer: Apple Technical Recruitment

As an Associate Quantity Surveyor in London, you will join a dynamic team that values collaboration and innovation, offering a competitive salary of £85,000 - £95,000. The company fosters a supportive work culture with ample opportunities for professional development and career progression, ensuring that you can grow your skills while working on high-profile projects. With a focus on employee well-being and a commitment to excellence, this role provides a rewarding environment for those looking to make a significant impact in the construction industry.

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Contact Details:

Apple Technical Recruitment Recruitment Team

We think you need these skills to ace Senior Data Architect - AI-Driven Sales Platform

Data Architecture
AI Integration
Infrastructure Development
Data Pipeline Design
Collaboration with Sales Teams
Collaboration with Data Scientists
Collaboration with Engineers