System Architect - PLM Teamcenter

YOUR TASKS · Contribute to the development, configuration, and stable operation of the PLM infrastructure in alignment with the overall system architecture · Contribute to the conceptualization, detailed design, and implementation of PLM solutions in Siemens Teamcenter based on business requirements and architectural guidelines · Take responsibility for technical delivery within projects of varying complexity in a fast‑developing environment · Collaborate with cross-functional, international teams to ensure successful PLM implementations · Take part in post–go-live stabilization, continuous improvement, and administration of the Teamcenter landscape · Work closely with the Senior Expert System Architect to align solution designs, implementation decisions, and long‑term evolution of the Teamcenter landscape. Your Profile . A bachelor’s degree in engineering, computer science, or a comparable qualification · A strong technical mindset and experience in software-oriented or system-oriented roles · Hands-on experience in programming or scripting (e.g. Java, Python, or similar). · Exposure to complex IT environments; experience with servers or databases is an advantage · A proactive, structured working style with strong analytical and problem-solving skills · Experience turning technical concepts into implemented, testable, and supportable solutions in an enterprise IT or PLM environment · Very good communication skills and confidence working with international teams · Fluent English; German or Spanish are a plus Nice to have / advantageous: · Experience with Siemens Teamcenter in engineering or enterprise environments · Experience with Teamcenter installation or deployment tools (e.g. TEM, Deployment Center, MS Intune) · Experience with reporting and analytics tools such as Power BI or Teamcenter Reporting & Analytics is an advantage · Knowledge of the Teamcenter data model and BMIDE · Experience with integrations, e.g. Active Integration Gateway or interfaces to SAP · Experience in renewable energy or similar industrial sectors · Interest or first hands-on experience in applying AI or data-driven approaches in engineering or PLM-related contexts