Nasstar is looking for a Data & AI Solutions Architect. In this role, you will design modern, scalable, secure, and cost-effective Data & AI solutions built on Microsoft technologies. You will bridge business outcomes and technical delivery by leading discovery, defining architectures, producing designs, and guiding engineering teams, with a focus on Azure-first, PaaS/SaaS-led solutions leveraging services like Microsoft Foundry and Microsoft Fabric.

What You'll Do

Lead client discovery workshops, capture business goals and constraints, and translate them into solution options and recommendations.
Design end-to-end Azure solutions (data, analytics and GenAI), define patterns, and produce high-level designs and diagrams.
Guide engineers (C#/.NET/Python), drive design reviews, and ensure quality, security, observability, performance and cost controls are built in.
Support pre-sales proposals and delivery planning; contribute to reusable assets and standards; help grow toward a future Capability/Team Lead role.

What We're Looking For

A strong software engineering background with hands-on delivery in C#/.NET and/or Python on Azure.
Proven experience designing and delivering Data & AI solutions using Azure PaaS/SaaS services.
Client-facing consulting experience: workshops, stakeholder management, translating requirements into solution designs.
Hands-on Microsoft Fabric experience (Lakehouse/Warehouse, Data Factory, Real-Time, semantic modelling, Power BI).
Experience with Microsoft Foundry / LLMs patterns (RAG, agent workflows, evaluation, safety/guardrails).
Integration knowledge (Functions, Logic Apps, API Management, Service Bus, Event Grid).
Architecture skills: systems design, integration patterns, data flow and NFR-driven decision making.
Communication: explains complex designs to technical and non-technical audiences; produces clear architecture artefacts.
Collaboration and leadership: coaches engineers, drives design reviews and aligns stakeholders.