At Siemens, we help organizations transform maintenance and operations through connected insights, AI-powered technology, and intelligent asset management solutions. Our software enables customers to manage the full lifecycle of assets, facilities, and infrastructure while improving efficiency, reducing risk, and optimizing long-term investments. By connecting data, people, and processes, we empower organizations to make smarter decisions, maximize asset performance, and achieve more resilient operations. Description As Senor Principal Data Cloud Architect, you will lead the design, governance, and evolution of enterprise Data Cloud capabilities that support analytics, AI, reporting, and secure data sharing. You will combine hands‑on data system design with technical leadership across Snowflake, dbt, Apache Superset, platform administration, observability, lineage, and governance.



You will partner with product, engineering, BI, AI, security, and operations teams to deliver scalable solutions for manufacturing, government, and other asset‑intensive customers. You’ll make an impact by Leading Data Cloud strategy, standards, and solution design across enterprise data, analytics, AI, and reporting initiatives. Designing scalable data systems, including ingestion, transformation, logical and physical models, semantic layers, and governed consumption patterns. Providing technical direction for Snowflake and dbt architecture, administration, performance, security, cost management, and release practices. Architecting and supporting secure Data Share solutions, summary views,

📌 Principal Data Engineer (Raleigh)
🏢 Siemens Mobility
📍 Raleigh