Job description

## Qualifications - Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical pre-sales or technical consulting experience OR 3+ years technical pre-sales or technical consulting experience OR equivalent experience - 1 + years experience designing and implementing solutions leveraging Data and Analytics Platform services including Microsoft Fabric, Azure Databricks, Azure SQL/SQL Server, Cosmos DB, Azure PostgreSQL, Azure Synapse and Power BI OR Google Cloud Data Platform, AWS Data Platform, Oracle Autonomous Database/Warehouse, Snowflake Platform - Working knowledge and application of Zero Trust Principles ## Responsibilities - You'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact - As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud AI, database and analytics stack across every stage of deployment - You'll collaborate closely with engineering leaders and platform teams to accelerate the data platform through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops - This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment - Drive technical sales with decision makers using demos and POCs to influence solution design and enable production deployments - Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft's cloud platforms - Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions - Resolve technical blockers and objections, collaborating with engineering to share insights and improve products - Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL - Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions ## Full Description Overview The Defense Industrial Base (DIB) Operating Unit (OU) is a newly formed team with a bold mission to consolidate, simplify, and accelerate Microsoft's presence across the DIB landscape. This expansive network includes over 100,000 organizations specializing in manufacturing, aviation, cybersecurity, and more—all united in their support of all Federal Agencies, including the U.S. Department of Defense and other mission-based intelligence and civilian organizations. We are dedicated to empowering these commercial contractors throughout their digital transformation journey—from envisioning new possibilities to delivering secure, scalable solutions that drive mission outcomes, elevate customer experience, and fuel Microsoft's growth. The DIB OU will directly manage and accelerate strategic and major DIB accounts across MCAPS Americas, while also enabling growth across other OUs and SME&C. We're building new relationships, transforming legacy operations, and helping our customers modernize with confidence. Job Description We are currently looking for a Cloud & AI Solution Engineer in Innovative Data Platform to join our team. You'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud AI, database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the data platform through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. Responsibilities • Drive technical sales with decision makers using demos and POCs to influence solution design and enable production deployments. • Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft's cloud platforms. • Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions. • Resolve technical blockers and objections, collaborating with engineering to share insights and improve products. • Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL. • Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. Requirements • Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical pre-sales or technical consulting experience OR 3+ years technical pre-sales or technical consulting experience OR equivalent experience. • 1 + years experience designing and implementing solutions leveraging Data and Analytics Platform services including Microsoft Fabric, Azure Databricks, Azure SQL/SQL Server, Cosmos DB, Azure PostgreSQL, Azure Synapse and Power BI OR Google Cloud Data Platform, AWS Data Platform, Oracle Autonomous Database/Warehouse, Snowflake Platform. • Working knowledge and application of Zero Trust Principles. Preferred Qualifications • The ability to obtain and maintain a United States Security Clearance. • 4+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience. • 2+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management.

Requirements