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As an Architect at 3Cloud, you will ensure client success by deploying Azure-based solutions, leading technical discussions, and designing application architecture.

Hands-on technical lead designing and delivering scalable, secure Azure-based BI and analytics solutions. Own end-to-end Power BI architecture, mentor engineers, guide implementations, optimize performance, and advise clients on governance, deployment, and AI-augmented analytics. Drive discovery, backlog priorities, cross-team alignment, reusable assets, and consulting pursuits.

Support and maintain clients' Azure data platforms and Power BI environments. Design and deploy data pipelines, models, and analytics solutions using Microsoft stack (ADF, Synapse, Databricks, SSIS/SSAS/SSRS). Troubleshoot incidents, communicate with clients, manage licensing, document environments, and promote best practices while collaborating with stakeholders and continuous skill development.

Lead cloud strategy engagements by facilitating executive workshops, performing cloud financial modeling, analyzing complex datasets, and delivering executive-ready roadmaps. Collaborate with solution architects and sales, mentor junior analysts, build reusable assessment assets, and support pre-sales to drive cloud adoption, cost optimization, and measurable business value.

The Senior Cloud Platform Engineer leads client engagements, provides technical guidance, fosters team collaboration, oversees implementation, and drives business development initiatives.

The role involves leading Power BI projects, managing customer interactions, creating data models, and optimizing data workflows using Power BI and Databricks.

The Senior Consultant - Quality Engineering will lead testing activities for clients, focusing on automation, performance, and data quality, while mentoring junior members and driving quality standards.

The Lead Consultant for Quality Engineering leads testing activities, develops test plans, manages defects, mentors junior team members, ensures high-quality delivery, and drives quality engineering best practices.

The Senior Consultant in AI will design, build, and deliver AI/ML solutions on Azure, engage with clients, and develop project components independently.

Provide ongoing technical support for clients' Azure environments: acknowledge and triage alerts, manage tickets and escalations, perform VM provisioning/resizing, troubleshoot agents/backups, assist with patching and maintenance tasks within a managed-services team.