Data Engineering Architect for AI-Ready Enterprise Data in London

Data Engineering Architect for AI-Ready Enterprise Data in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Mphasis

At a Glance

  • Tasks: Lead data architecture projects that drive analytics and AI across cloud environments.
  • Company: Mphasis, a leader in innovative data solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and cutting-edge technology.
  • Why this job: Shape the future of data engineering and make a real impact on business transformation.
  • Qualifications: Experience in data architecture, governance, and collaboration with tech teams.

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

Mphasis is seeking a Data Engineering Architect to lead end-to-end data architectures that power analytics, AI, and business transformation across cloud and hybrid environments. You will govern data platforms, design scalable pipelines, and collaborate with data scientists, engineers, and business leaders to deliver enterprise-wide data solutions.

The role emphasizes governance, security, and DevOps practices while driving innovation in data lakes, warehouses, and lakehouses to support real-time.

Data Engineering Architect for AI-Ready Enterprise Data in London employer: Mphasis

Mphasis is an excellent employer that fosters a dynamic work culture in Bournemouth, where innovation and collaboration thrive. With a strong focus on employee growth, we offer numerous opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like low-latency systems. Join us to be part of a team that values your contributions and supports your career journey in a vibrant coastal city.

Mphasis

Contact Details:

Mphasis Recruitment Team

We think you need these skills to ace Data Engineering Architect for AI-Ready Enterprise Data in London

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