IT Juni 13, 2024 Enterprise Data Architect (m/f/d) Düsseldorf , Germany
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- Düsseldorf, North Rhine-Westphalia, Germany
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- Düsseldorf, North Rhine-Westphalia, Germany
About
Are you passionate about data architecture and eager to drive data strategies in a dynamic environment? Join our team as an Enterprise Data Architect and lead the way in shaping our enterprise data landscape to support our business goals.
Available locations: Germany (Düsseldorf), the Netherlands (’s-Hertogenbosch), Denmark (Soeborg)
- Oversee data use, standardization, governance, and value generation across applications.
- Align data architecture with business strategy.
- Lead the GEA data strategy and architectural initiatives.
- Provide architectural leadership and consulting across the organization.
Key Accountabilities:
- Support and review solution architecture designs for strategic projects.
- Assist in developing data strategies and governance frameworks.
- Collaborate to build necessary IT capabilities.
- Support BRMs in IT project demands and changes.
- Develop and document target architectures and roadmaps.
- Define reusable architecture concepts and patterns.
- Stay informed and contribute to master data, big data, analytics, AI/ML activities.
- Contribute to IT strategy development and innovation leadership for data.
- Enhance EA capabilities and services.
- Define architecture tools, frameworks, and standards.
Professional Knowledge and Experience:
- Proven expertise in data architecture, focusing on master data, governance, and quality.
- Experience in analytics and advanced analytics (big data, ML, AI) is highly desirable.
- Strong knowledge of standards and products for (SAP) master data management and governance.
- Understanding of architecture-related standards and frameworks.
Other Skills & Competencies:
- Strong consulting, communication, coordination, and problem-solving skills.
- Excellent interpersonal skills for team collaboration and leadership.
- Proficient in professional-level English; additional languages are a plus.
- Competent with modeling and presentation tools (e.g., LeanIX, Signavio, Draw.io, Visio, PowerPoint, MS Office Suite).
- Work with a supportive and international team
- Modern working environment with flexible working options and home office for a good work-life balance
- A wide range of personal and professional training and development opportunities for your career planning
- Company pension scheme and accident insurance
- 30 days annual leave plus 24 & 31 December
- Attractive company benefits such as discounts on gym memberships, language courses, etc.
- Good access to public transport, subsidy for public transport use and JobRad
What happens once your application is submitted?
You will receive an E-Mail when your application has been processed. One of our Talent Acquisition Specialists will review and verify that the applicant meets the qualifications criteria. Once your application has been successful verified and depending on the role you will be invited to a first interview either virtual or face to face. Usually after the second or third interview round, we will make a decision.
#J-18808-LjbffrNice-to-have skills
- Big Data
- Machine Learning
- Artificial Intelligence
- SAP
- Visio
- Powerpoint
Work experience
- Data Infrastructure
- Data Engineer
- Fullstack
Languages
- English