Principal Data Solution Engineer
Technology, Data & Digital · Data, AI & Analytics · Data Science · Software Engineering
In short
Responsibilities
- Lead the technical strategy for complex Data + AI opportunities across strategic APAC professional services accounts.
- 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.
- Resolve technical blockers, influence customer architecture decisions, and provide product feedback to Microsoft engineering.
Requirements
- 8+ years of experience in technical pre-sales, consulting, data architecture, analytics engineering, cloud architecture, data platform engineering, or AI solution architecture.
- Demonstrated expertise in modern data platforms, analytics architecture, governance, data modernization, and Data + AI solution design.
- Ability to engage enterprise customers and influence technical decision-makers across data, AI, application, platform, security, engineering, and business teams.
- Experience leading customer technical engagements such as PoCs, MVPs, architecture design sessions, hands-on labs, workshops, or hackathons.
Desired Qualifications
- Experience serving or working within Big 4, global systems integrator, consulting, advisory, audit, tax, legal, or other professional services organizations.
- Hands-on experience with Microsoft Fabric, Azure Databricks, Azure databases, Purview, Azure AI Search, Azure AI Foundry, Azure OpenAI, RAG patterns, and responsible AI practices.
- Experience connecting governed data platforms to intelligent applications, copilots, agentic workflows, APIs, and app modernization patterns.
- Experience with GitHub, GitHub Copilot, or AI-assisted engineering practices that improve data engineering and analytics delivery.
- Ability to shape customer strategy through technical leadership, storytelling, executive-ready architecture narratives, and hands-on execution.
Benefits
- Work 1 day / week in-office.
- Travel less than 25%.
Skills
About Microsoft
Empowering every person and organization on the planet to achieve more
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting…
Company
MicrosoftJob Posted
1 week ago
Employment Type
Full Time
Work mode
Hybrid
Experience Level
Senior
Locations
Singapore, Singapore
Applicants
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