Strategically design the data and system architecture in alignment with corporate objectives
Design and further develop data models to support strategic decision-making
Conceptualize and implement data integration solutions for seamless data processing
Advise and support internal teams on architectural questions
Evaluate and introduce new technologies in the data domain
Ensure compliance with architecture guidelines and standards

Requirements

Degree in Computer Science, Business Informatics, Data Science, or a comparable qualification
Several years of professional experience in data or system architecture, ideally in complex IT landscapes
Solid knowledge of data modeling and evaluation of system architectures
Technologies in Analytics & BI: Python (including Pandas, NumPy, Scikit-learn, etc.)
Power BI
Databricks
Grafana
Databases & platforms: Oracle, PostgreSQL, Azure Cloud, Hadoop
Certifications such as TOGAF or Certified Data Management Professional are an advantage
Strong conceptual and systems-thinking skills
High degree of independence and strong communication skills when dealing with different stakeholders
Excellent written and spoken German and English
Basic understanding of SAP as a data source — no prior SAP experience required

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata modelingdata integrationPythonPandasNumPyScikit-learnPower BIDatabricksHadoop

Soft Skills

conceptual thinkingsystems thinkingindependencecommunicationstakeholder management

Certifications

TOGAFCertified Data Management Professional