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Enterprise Data Model Designer

vor 2 Wochen


Baden AG, Aargau, Schweiz Axpo Group Vollzeit
About the Team

The Data & Analytics Office is a newly established function to drive data & analytics maturity across the business area Trading & Sales. We are a passionate and innovative team that thrives on collaboration, innovation, and continuous improvement. We offer a culture that supports professional growth and the opportunity to shape Axpo's data landscape.

The Senior Data Architect will be part of a dynamic team that works closely with IT architecture, hubs, and cross-functional teams to embed data principles and align with business priorities. The role involves design and implementation of scalable data models and structures, development and oversight of the data architecture strategy, and partnership with stakeholders to deliver business outcomes.

Key Responsibilities:

  • Design and implement scalable data models and structures that ensure data integrity and quality.
  • Develop and oversee the data architecture strategy from the business point of view, focusing on reducing data replication and ensuring alignment with enterprise-wide standards and future target states.
  • Partner with IT architecture, hubs, and cross-functional teams to embed data principles and align with business priorities.
  • Mentor business users, facilitate adoption of data principles, and act as a key liaison between business needs and technical teams.

Requirements:

  • 10+ years of experience in data management or architecture, with 5+ years in a senior role.
  • Expertise in designing scalable data solutions, data modeling, and governance frameworks.
  • Extensive experience in energy commodity trading or financial services is a must.
  • Exceptional interpersonal and communication skills, with the ability to drive consensus and bridge business and technical teams.
  • Proficiency in relational and non-relational databases (SQL, NoSQL), analytics tools, and modern data technologies.
  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
  • Fluent in English; additional languages are an advantage.