Digital Solution Engineering (Cloud & AI Data)
Microsoft
- Location
- Australia, Multiple Locations, Multiple Locations
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 2,066 approvals (FY2023)
- Posted
- 3d ago
Skills
About this role
Overview
Microsoft Elevate is chartered with the mission of bringing the power of technology to every non-profit, humanitarian organisation and K-12 Education organisations to accelerate Social Good. This organisation brings together our donation and grants programmes, industry solutions in both Social Enterprise and Education, commercial sales efforts and partner ecosystems to empower organisations to address the world's most pressing needs. As a Data Platform Digital Solution Engineer (DSE), you will play a pivotal role in helping Microsoft Elevate customers unlock the full potential of Microsoft’s cloud database and analytics stack across every stage of deployment. You will work directly with technical and business stakeholders to design secure, scalable, and resilient database and analytics architectures that support business-critical applications and Frontier AI transformation. As a trusted technical advisor, you’ll guide customers and win their technical decisions on Azure for their database and analytics deployment.You bring deep expertise in database and analytics workloads—including Microsoft Fabric, Azure Databricks, and Azure Databases SQL DB, Cosmos DB, DocumentDB, PostgreSQL while exploring how Agentic AI can accelerate Frontier transformation. As you join the team, you will have the opportunity to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. In summary, you’ll help customers modernize their database and analytics platforms to realize the full value of Microsoft’s platform, all while enjoying flexible work opportunities.As a trusted technical advisor, you’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you’ll help customers modernize their data platform and realize the full value of Microsoft’s platform. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities • Act as a trusted technical advisor to customers, helping them unlock the full value of Microsoft Cloud & AI solutions and guiding technical decision-making across database, analytics, and AI workloads. • Design secure, scalable, and resilient cloud architectures that support business-critical applications, data modernization initiatives, and Frontier AI transformation. • Lead technical discovery sessions, architecture workshops, solution demonstrations, proof of concepts, and deployment engagements to accelerate customer adoption of Azure services. • Apply deep technical expertise across Microsoft Fabric, Azure Databricks, Azure SQL Database, Azure Cosmos DB, PostgreSQL, and modern analytics platforms to solve complex customer challenges. • Guide customers through database and analytics modernization journeys, influencing technical decisions and accelerating migrations to Azure. • Partner with sales, customer success, and partner teams to develop technical strategies, remove deployment blockers, and drive successful customer outcomes. • Demonstrate emerging technologies, including Agentic AI and advanced analytics, to help customers accelerate innovation and realize measurable business value. • Capture customer feedback, competitive insights, and market trends while contributing to technical readiness, knowledge sharing, and the broader Cloud & AI community.
Qualifications
Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field, or equivalent practical experience. 4+ years