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Data Architect (f/m/d)

TN Germany

Hannover

Hybrid

EUR 60.000 - 100.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Join a dynamic and ambitious team focused on data architecture and management. This role involves collaborating with architects to develop essential business information models and ensuring data accuracy and governance across various use cases. With opportunities for remote work and professional development, you will play a crucial role in data monetization and governance, using cutting-edge technologies. Enjoy a flexible work environment, generous holidays, and mobility benefits while contributing to meaningful projects that shape data strategies across Europe. If you're passionate about data and innovation, this is the perfect opportunity for you.

Leistungen

Flexible Work Locations
30 Holidays per Year
Training and Development Opportunities
Mobility Benefits
Retirement Schemes
Workation Opportunities

Qualifikationen

  • Extensive experience in IT and data architecture & management.
  • Hands-on experience with architecture & business process modelling.

Aufgaben

  • Collaborate to develop a Business Information Model as a blueprint.
  • Establish data ownership and stewardship across business units.

Kenntnisse

Data Architecture
Data Management
Business Process Modelling
Data Governance
Data Monetization
Stakeholder Collaboration
English Proficiency

Ausbildung

Bachelor's Degree
Master's Degree

Tools

Erwin-DIS
Collibra
Informatica
Azure Data Technologies

Jobbeschreibung

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The Data Architecture & Management Team is a diverse team located mainly in Germany, across Europe. The team defines global data architecture guidelines and principles and handles data management topics, including data quality.

Meaningful & challenging - Your tasks
  1. Business Information Model: Collaborate with other architects to develop a Business Information Model that serves as a crucial blueprint.
  2. Architecture Modelling: Develop and maintain architecture and business process models aligned with business requirements, ensuring data accuracy, consistency, and availability for various use cases.
  3. Data Governance: Work with cross-functional teams to establish data ownership and stewardship, and develop common data domain models across business units.
  4. Data Catalogue: Apply architecture best practices to create a common business vocabulary that helps stakeholders understand and communicate about data assets, including structure, usage, and governance.
  5. Data Storage: Evaluate and select suitable data storage solutions considering scalability, performance, and cost-effectiveness.
  6. Data Monetization: Identify revenue opportunities from data assets and collaborate on creating data products and services.
Authentic & ambitious - Your profile
  • Bachelor’s or Master’s degree in relevant fields with extensive experience in IT and data architecture & management.
  • Proven experience working with stakeholders from different countries and backgrounds.
  • Hands-on experience with architecture & business process modelling and implementing data architecture principles in projects.
  • Good knowledge of Data Lake, Data Warehouse, Data Integration, Azure data technologies, data monetization strategies, and successful implementation.
  • Proficiency in data catalogue tools like Erwin-DIS, Collibra, Informatica.
  • Familiarity with AI and ML frameworks, algorithms, and their integration into data architecture.
  • Fluent in English.
We offer:
  • Full flexibility to work from anywhere in Germany, including offices from Hamburg to Munich, or even workation opportunities within Europe for up to 20 days per year.
  • 30 holidays per year, with options to exchange salary parts for more holidays or take a sabbatical.
  • Support for personal and professional development through training and growth opportunities.
  • Mobility benefits like car and bike leasing schemes and job tickets at various locations.
  • Retirement schemes and insurance packages for your future.
  • Further benefits to be discussed during the recruitment process.
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