Join Microsoft's Digital Cloud & AI Data Solution Engineering team, focusing on mid-market customers. This role is ideal for individuals passionate about databases and analytics, eager to solve complex challenges in the era of Agentic AI. You will be instrumental in leveraging cutting-edge technologies to drive significant impact.

Microsoft Azure is experiencing substantial growth in databases and analytics. These technologies empower customers to build, deploy, and manage solutions, especially within the context of Frontier AI. Our Small Medium Enterprises and Channel (SME&C) team is a high-growth, AI-powered sales force, deeply connected with partners and dedicated to customer success.

We foster a culture of opportunity, inclusivity, and collaboration within the SME&C team. This is a fast-paced, digital-first environment where continuous learning and customer obsession are paramount. Shape the future of business with us.

As a Data Platform Digital Solution Engineer (DSE), you will guide enterprises in maximizing the potential of Microsoft's cloud database and analytics stack. You will collaborate with technical and business stakeholders to architect secure, scalable, and resilient solutions, supporting business-critical applications and Frontier AI transformations. Act as a trusted technical advisor, influencing customer decisions on Azure for their database and analytics deployments.

Key responsibilities include leading database and analytics customer engagements, driving technical sales through demos and PoCs, and enabling production deployments. You will conduct technical workshops, co-create architectures, and perform rapid prototyping to resolve technical blockers. Maintain deep expertise in Microsoft Fabric, Azure Databricks, Azure Databases (SQL DB, Cosmos DB, PostgreSQL), and understand on-prem EDW and Hadoop solutions for migrations.

The ideal candidate possesses at least 10 years of technical pre-sales or consulting experience. Alternatively, a Bachelor's degree in Computer Science, Information Technology, or a related field, coupled with 4+ years of relevant experience, is acceptable. A Master's degree in a similar field with 3+ years of experience, or equivalent experience, will also be considered.

Essential expertise includes Azure Databases (SQL DB, Cosmos DB, DocumentDB, PostgreSQL) for migration and modernization, and Microsoft Fabric, including OneLake and Azure Databricks. Proficiency in data warehouse, data lake, big data, analytics, and real-time intelligence using integrated data security and governance is crucial. Familiarity with competitors like BigQuery, Redshift, and Snowflake is also valued. Proven ability to lead technical engagements that result in production-scale outcomes is a must.