Join Microsoft's dynamic team as a Digital Cloud & AI Data Solution Engineer, focusing on mid-market customers. This role is ideal for individuals with a passion for databases, analytics, and tackling complex challenges in the age of Agentic AI. You will be at the forefront of innovative projects, leveraging the latest technologies to drive significant impact. Be part of a collaborative environment that fosters creativity and continuous learning.

This is a technical sales position within the Small Medium Enterprises and Channel (SME&C) organization. We are a high-growth, AI-powered global sales team dedicated to customer success, working closely with partners. By integrating our Small Medium Business, Corporate, Strategy, and Partner teams, we are addressing a vast customer opportunity, supported by substantial industry investments. We aim to redefine business technology adoption through AI and our extensive partner ecosystem.

SME&C is more than just a sales organization; it's a culture built on opportunity and inclusivity. Join a diverse, high-performing, and customer-obsessed team where collaboration, connection, and ongoing learning are central to our success.

As a Data Platform Digital Solution Engineer (DSE), you will be instrumental in helping enterprises maximize the potential of Microsoft's cloud database and analytics solutions across all deployment phases. You will collaborate directly with technical and business stakeholders to architect secure, scalable, and resilient database and analytics solutions that support critical business applications and Frontier AI transformations. Act as a trusted technical advisor, guiding customers and influencing their technical decisions regarding Azure for their database and analytics deployments.

Your role involves leading database and analytics customer engagements, driving technical sales through compelling demos and Proofs of Concept (PoCs) to shape solution designs and enable production deployments. Conduct technical workshops featuring live demos, co-create architectures with customers through whiteboarding, rapid prototyping, and hands-on PoCs to overcome technical hurdles. Prove the efficacy of technical solutions and leverage existing architectures to influence design and secure customer commitment for deployments.

Maintain profound expertise in the Analytics Portfolio, including Microsoft Fabric (OneLake, Azure Databricks) and Azure Databases (SQL DB, Cosmos DB, PostgreSQL). Expand your knowledge of on-premises Enterprise Data Warehousing (EDW) solutions (Teradata, Netezza, Exadata), Hadoop, and BI solutions, as well as their migration paths to modern data warehouses.

To excel in this role, a strong foundation in technical pre-sales or consulting is essential. You should possess at least 10 years of relevant experience. Alternatively, a Bachelor's degree in Computer Science, Information Technology, or a related field, coupled with 4+ years of technical pre-sales or consulting experience, is also a viable path. For those with advanced degrees, a Master's degree in a related field with 3+ years of experience, or equivalent experience, will be considered.

Expertise in Azure Databases (SQL DB, Cosmos DB, DocumentDB, PostgreSQL) for migration and modernization is a key requirement. You should also be an expert in Microsoft Fabric, including OneLake and Azure Databricks, and understand competitor offerings (BigQuery, Redshift, Snowflake) in the realms of data warehousing, data lakes, big data, analytics, real-time intelligence, and reporting, with a focus on integrated data security and governance.

Demonstrated ability to lead technical engagements, including prototyping, pilot projects, and PoCs, that yield production-scale results is crucial. Preferred qualifications include 6+ years of combined experience in technical pre-sales, consulting, or technology delivery, or equivalent experience. Familiarity with cloud and hybrid infrastructures, architecture designs, migrations, industry standards, and technology management, along with proficiency in database technologies (ETL, DW, Reporting), is highly beneficial. Experience with data warehouse and big data migrations, including on-premises appliances (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks), and Cloud & AI Synapse Gen2, will set you apart. Experience with Azure Fabric is a plus.