Digital Engineering Data Architect

vor 2 Wochen

Erlangen, Bayern, Deutschland Siemens Energy Vollzeit

About the Role

As a Digital Engineering Data Manager, you will play a pivotal role in shaping the data landscape for complex power and industrial plant projects. Your expertise in data modeling, architecture, and industry standards will be instrumental in ensuring seamless data exchange and collaboration throughout the project lifecycle.

A Day in the Life

Your day begins with focused planning, setting your priorities for the day ahead. You'll then prepare for meetings with internal colleagues and clients, refining your presentations and layouts to ensure clarity and impact. Collaboration is key, and you'll engage with project teams, software experts, and domain specialists to refine data models and workflows.

Customer interaction is a core aspect of this role. You'll present plant layout concepts, gather feedback, and work closely with clients to ensure their needs are met. Throughout the day, you'll participate in internal meetings, driving progress and coordinating efforts across the project team.

Your Impact
  • Analyze customer requirements for data modeling and architecture, ensuring alignment with industry standards and best practices.
  • Develop and implement data exchange processes and workflows, fostering seamless collaboration between stakeholders.
  • Communicate technical concepts effectively to both technical and non-technical audiences, facilitating clear understanding and buy-in.
  • Build strong relationships with internal teams, suppliers, and customers, fostering a collaborative and supportive environment.
  • Stay abreast of emerging data standards and technologies, incorporating them into your work to drive innovation and efficiency.
Your Qualifications
  • A Bachelor's or Master's degree in Engineering, Computer Science, or a related field with a focus on data science or architecture.
  • Proven experience in turnkey projects, ideally within the power generation or industrial plant sector.
  • Strong leadership and project management skills, ensuring timely delivery of high-quality results.
  • In-depth knowledge of industry standards such as IFC, bsDD, ISO 15926, and IEC 61360.
  • Practical experience in data architecture design, applying best practices and modeling tools.
  • Excellent communication and interpersonal skills, enabling effective collaboration within diverse teams.

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