Enterprise Architect

Summary

The Enterprise Architect designs, implements and governs complex architectural frameworks aligned with strategic business objectives, with a focus on Cloud, Big Data and AI/ML.

Responsibilities

• Develop and maintain enterprise-wide architecture frameworks, standards and reference models.
• Design and implement scalable data lakes and distributed data platforms using modern Cloud and Big Data technologies.
• Define frameworks and roadmaps for Data Management, Data Migration, Data Integration, Data Governance, Data Quality, MDM and Data Security.
• Architect solutions using Artificial Intelligence, Machine Learning, containerization and modern analytics platforms.
• Lead integration architecture across provisioning, order management, inventory systems, mediation platforms and enterprise applications.
• Provide architectural guidance to engineering teams and ensure alignment with enterprise standards.
• Collaborate with business, IT and leadership stakeholders to ensure architectural clarity and shared understanding.
• Establish CoEs and PoCs for Big Data and AI initiatives, driving adoption of emerging technologies.
• Lead strategies to improve data-processing efficiency, including proven results such as a 50% performance boost.
• Act as onsite lead to extract functional, business and technical specifications and transition them to offshore teams for BAU support.
• Manage smooth technical transitions and launches, including international web-ordering systems and large-scale application migrations.
• Ensure architectural compliance with security, regulatory and operational standards.
• Produce clear architectural documentation and communicate complex concepts to diverse audiences.

Must Haves

• Proven experience as an Enterprise Architect in large, global organizations.
• Strong expertise in Cloud, Big Data, AI/ML, containerization and enterprise data platforms.
• Demonstrated success installing and managing data lakes and distributed data ecosystems.
• Extensive data migration experience, including configuration validation, baseline data verification, script development and full lifecycle support.
• Strong background in digital transformation, CoE establishment and PoC delivery.
• Excellent communication skills and ability to influence senior stakeholders.
• Experience across multiple industries: BFSI, Telecom, Automotive, Retail and Manufacturing.
• Ability to operate strategically and hands-on in complex environments.

Nice to Haves

• Familiarity with regulatory compliance standards, such as GDPR and CCPA.
• Knowledge of emerging technologies in data architecture.
• Experience with Agile methodologies or DevOps practices.
• Cloud technology certifications, such as AWS, Azure or Google Cloud.