Principal, Technology Consulting - Microsoft Solutions Req# [redacted] Responsibilities Partner with Sales & Delivery Management teams to engage prospects throughout the sales lifecycle, from first meeting through close Lead the scoping and authoring of proposals and statements of work for complex Microsoft engagements Design project teaming models and produce accurate effort and cost estimates Clearly communicate scope, assumptions, and risk to both technical and executive audiences Design Azure and Microsoft platform solutions spanning application modernization, data platforms, AI/ML, and Copilot/Fabric workloads Analyze client application and data estates; develop transformation roadmaps and next-generation architecture Produce solution architecture documentation covering key technical decisions and implementation approach Lead solution design reviews and provide technical oversight across active engagements Oversee development efforts and serve as an escalation point for technical questions Mentor EPAM engineers and contribute to raising the technical bar across the practice Stay current on Microsoft platform developments and bring emerging capabilities into client conversations Contribute to EPAM's point of view on the Microsoft ecosystem through internal communities and external content Requirements Deep expertise in Azure and the broader Microsoft platform across application modernization, data and analytics, and AI/ML workloads A track record of leading complex, multi-workload Microsoft implementations at enterprise scale Demonstrated experience in client-facing, consulting roles and comfort leading architecture discussions with senior technical and executive stakeholders Experience supporting or leading presales activity including scoping engagements, writing proposals, and contributing to deal closure Strong solution architecture fundamentals across application stacks (REST, containers, serverless, front-end/back-end) and data/AI stacks (relational, non-relational, GenAI, ML) Familiarity with Agile delivery practices and DevOps tooling (IaC, CI/CD, automated deployment) Excellent communication skills - able to translate complex technical concepts into business language Enough background in large-scale software development or data engineering to credibly lead technical conversations on either side