Job Summary

Own the enterprise-wide data architecture across lakehouse/warehouse platforms, ensuring scalable data integration, governance, security, and ML/AI readiness.

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• Deep expertise in cloud data ecosystems, ELT/ETL, streaming, and orchestration.
• Strong data modeling, governance, cataloging, and metadata management skills.
• Experience integrating data architectures with AI/ML workloads.
• Understanding of security frameworks, data contracts, and FinOps principles.

Key Responsibilities

1. To architect| design and develop (through Team) solution for product/project & sustenance delivery
2. To bridge the gap between client needs and business goals by gathering requirements, crafting innovative solutions with deep domain/technology expertise, and driving successful implementations that propel strategic initiatives.
3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
4. To review architecture and design deliverables and ensure solutions adhere to industry best practices ,architectural standards simultaneously establish and enforce governance /compliance measures.
5. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated
6. To submit Whitepapers, participate in industry forums and file Patents

Skill Requirements

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Other Requirements

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