Principal Data Architect - AI-Driven Data Fabric

Principal Data Architect - AI-Driven Data Fabric

Full-Time 56250 - 68750 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the design and execution of AI-driven data solutions for clinical datasets.
  • Company: Medidata, a leader in innovative healthcare technology.
  • Benefits: Attractive salary, health benefits, flexible work options, and career advancement.
  • Other info: Join a dynamic team focused on impactful healthcare innovations.
  • Why this job: Shape the future of healthcare data with cutting-edge AI technologies.
  • Qualifications: Experience in data architecture and AI integration is essential.

The predicted salary is between 56250 - 68750 Β£ per year.

Medidata is seeking a Principal Data Engineer / Architect to lead the strategic vision and hands-on execution of our Object-Centric Data Fabric.

You will unify multi-stream clinical datasets with a central semantic layer, leveraging AI-augmented workflows to automate mapping, query optimization, and regulatory documentation.

The role focuses on data lake architecture, AI-enabled schema engineering, and scalable backend services.

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Principal Data Architect - AI-Driven Data Fabric employer: MEDIDATA

Medidata is an exceptional employer, offering a dynamic hybrid work environment that fosters innovation and collaboration in the healthcare technology sector. With a commitment to employee growth, Medidata provides extensive benefits including comprehensive health insurance, a generous pension plan, and over 25 paid holidays annually, ensuring a supportive work culture that values work-life balance. Join us to make a direct impact on clinical trials and patient outcomes while working with cutting-edge technologies in a company recognised for its leadership in the industry.

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Contact Details:

MEDIDATA Recruitment Team

We think you need these skills to ace Principal Data Architect - AI-Driven Data Fabric

Python
Data Engineering
Automation
SQL
Communication Skills
Problem-Solving Skills
Data Pipeline Development