Data Engineering Architect for AI-Ready Enterprise Data
Summary
Designs and governs scalable data architectures (lakes, warehouses, lakehouses) to power analytics and AI across cloud/hybrid environments, ensuring governance, security, and DevOps practices.
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