FULL_TIME
5-10
Cloud & AI - Senior Data Solution Engineer - German Speaking
11/27/2025
Develop strategic influence by guiding customers through secure, scalable data solutions and shaping key technical decisions. Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Working Hours
40 hours/week
Company Size
10,001+ employees
Language
English
Visa Sponsorship
No
About The Company
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters.
Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.
About the Role
Develop strategic influence by guiding customers through secure, scalable data solutions and shaping key technical decisions. Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. 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 and grow proficiency in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. Please note fluency in German is required, fluency in French as well is preferred Significant technical pre-sales or technical consulting experience Proficient on Cloud & AI Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps. Proficient on Cloud & AI Analytics (Fabric, Cloud & AI Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance. Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes. Proven ability to drive data strategy in a presales environment
Key Skills
Cloud DatabasesAI DatabasesSQL DBCosmos DBPostgreSQLHadoopBI SolutionsData WarehouseData LakeAnalyticsData SecurityGovernanceTechnical SalesPre-salesTechnical ConsultingArchitecture
Categories
TechnologyData & AnalyticsSoftwareConsultingSales
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