Overview
Are you passionate about data, AI, and solving complex enterprise challenges? Join Microsoft as a Cloud & AI Platform (CAIP) Data Solution Engineer supporting strategic enterprise customers across Australia.
As part of Microsoft’s Customer and Partner Solutions (MCAPS) organisation, you’ll work within a globally connected Solution Engineering team, partnering with colleagues across regions while acting as a key technical voice locally.
In this pre-sales, technical sales role, you’ll help customers design and implement modern data platforms and AI-driven solutions on Azure unlocking value across analytics, governance, and AI. You’ll translate Microsoft’s Data + AI platform (including Fabric, Databricks, Purview, and AI Foundry) into real business outcomes and guide customers towards secure, scalable, production-ready architectures.
As a trusted technical advisor, you will:
- Lead data-led transformation conversations with business and technical decision-makers
- Drive end-to-end scenarios across Data + AI, with integration into Apps + AI
- Help customers make confident technology decisions in highly competitive environments
This role requires deep expertise in Data and strong working capability across Apps + AI, combining technical depth with commercial impact in a highly visible, enterprise-focused role.
Responsibilities
Drive technical sales and solution design Lead customer engagements using demos, PoCs, and architecture workshops to land scalable Data + AI solutions.
Own Data platform strategy conversations Guide customers across modern data estate design, including analytics, governance, and AI-infused data workloads.
Deliver hands-on engagements Run hackathons, MVPs, and architecture design sessions to accelerate production adoption.
Build trusted advisor relationships Partner with data leaders, architects, and engineering teams to co-design secure, governed, and scalable platforms.
Resolve blockers and influence roadmap Address technical objections and collaborate with engineering to improve Microsoft offerings.
Maintain deep technical expertise (Data-first focus)
- Represent Microsoft externally Contribute to thought leadership across Data & AI communities and customer forums.
Qualifications
Required Qualifications
- 8+ years of experience in technical pre-sales, consulting, development, or data platform engineering
- Demonstrated 400-level expertise in Data platforms and analytics
- 200–300 level familiarity with Apps + AI architectures (AI services, APIs, app integration patterns)
- Proven ability to engage enterprise customers and influence technical decision-makers
- Strong ability to align technical solutions with business outcomes
- Experience leading technical engagements (PoCs, MVPs, architecture design sessions)
Preferred Qualifications
- Experience working with or selling into professional services organisations (e.g. Big 4, consulting, advisory firms)
- Experience with end-to-end data modernization (data estate, governance, analytics, AI integration)
- Hands-on experience with Microsoft Fabric, Databricks, and Purview
- Familiarity with AI-assisted development and agentic scenarios (e.g., Copilot, AI workflows)
- Experience working across data + application integration scenarios
- Ability to shape customer strategy through technical leadership
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations.**