Enterprise Architect

This role is for an Enterprise Architect with strong expertise in Cloud, Big Data, AI/ML, containerization, and enterprise data platforms, aimed at supporting digital transformation and strategic alignment of technology within large, global organizations across multiple industries including BFSI, Telecom, Automotive, Retail, and Manufacturing.

• 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 experience with data migration, 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 with the ability to influence senior stakeholders.
• Experience working across multiple industries: BFSI, Telecom, Automotive, Retail, Manufacturing.
• Ability to operate both strategically and hands-on in complex environments.

Nice to have:

• Familiarity with regulatory compliance standards (e.g., GDPR, CCPA).
• Knowledge of emerging technologies in the data architecture space.
• Experience with Agile methodologies or DevOps practices.
• Certifications in Cloud technologies (e.g., AWS, Azure, Google Cloud).

• 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 leveraging 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 that improve data processing efficiency, including achieving 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.