Leads end-to-end architecture for enterprise data, analytics, and AI solutions in a Microsoft-first environment. Translates business requirements into secure, scalable designs and guides prototyping, implementation, architecture reviews, troubleshooting, governance, and production readiness. Requires deep hands-on experience with Azure data platforms, Power BI, enterprise security, Azure OpenAI, and retrieval-augmented generation patterns.

Owns end-to-end Design-for-Test activities for customer SoCs, including DFT architecture, scan insertion, ATPG, memory BIST, boundary scan, pattern validation, coverage improvement, DRC debug, gate-level simulation, equivalence checking, and production test handoff. Automates DFT flows using Perl, Tcl, UNIX, and optionally Python while supporting projects from concept through tape-out and manufacturing.

Design and build scalable, production-grade backend systems and infrastructure. Work with Node.js, SQL/NoSQL databases, cloud platforms, and microservices. Solve complex problems, ensure security and performance, and produce clean, maintainable code. Collaborate with engineers on distributed systems and high-scale data processing.