Overview
Join Microsoft as a Principal Data Solution Engineer based in Singapore, supporting strategic professional services customers across APAC. You will lead complex technical sales engagements that help customers modernize their data estates, establish governed analytics foundations, and build AI-ready platforms for secure, scalable production use.
This role is designed for candidates who understand professional services organizations, including Big 4, global systems integrators, consulting, advisory, audit, tax, legal, or related client-service environments. You will connect Microsoft's Data + AI capabilities to high-value scenarios such as client delivery, knowledge reuse, regulated data workflows, secure collaboration, productivity at scale, and AI-assisted service delivery.
The role requires deep Data + AI expertise, with working knowledge of application and agentic AI patterns needed to connect governed data platforms with intelligent applications, copilots, APIs, and production workflows.
Responsibilities
- - Lead the technical strategy for complex Data + AI opportunities across strategic APAC professional services accounts, orchestrating account teams, specialists, partners, engineering resources, and customer stakeholders from early technical decision through production adoption.
- Guide customers across modern data estate strategy, including Microsoft Fabric, Azure Databricks, Azure databases, OneLake, data warehousing, real-time analytics, governance, and data platform standardization.
- Design AI-ready data architectures that support Azure AI Foundry, Azure OpenAI, Copilot scenarios, RAG, semantic search, data grounding, lineage, responsible AI, and production intelligent applications.
- Translate Data + AI capabilities into professional services business outcomes, including client insight generation, knowledge management, regulated workflow modernization, auditability, risk management, and reusable AI-enabled service assets.
- Help professional services organizations apply Data + AI both to their internal transformation and to reusable, Azure-based services and solutions they deliver to their own clients.
- Scale impact beyond individual engagements by developing reusable architectures, technical narratives, demonstrations, and industry patterns that can be applied across customers, countries, and professional services scenarios.
- Resolve technical blockers, influence customer architecture decisions, and provide product feedback to Microsoft engineering.
Technical Focus
- Deep expertise designing and positioning modern data platforms using Microsoft Fabric, Azure Databricks, Azure databases, analytics, and Microsoft Purview, including data governance, security, real-time intelligence, and platform modernization.
- Experience designing AI-ready data architectures that support data grounding, RAG, semantic search, metadata, lineage, responsible AI controls, and secure production AI applications.
