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Data Architect (f/m/d)

TN Germany

Würzburg

Remote

EUR 70.000 - 90.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading company in data architecture and management is seeking a skilled professional to join their diverse team. You will be responsible for developing business information models, ensuring data governance, and collaborating with various stakeholders. The role offers full flexibility to work from anywhere in Germany, along with generous holidays and development opportunities. Join us to shape the future of data management!

Leistungen

Work from anywhere in Germany
30 holidays per year
Individual training and development opportunities
Car and bike leasing schemes
Company retirement schemes

Qualifikationen

  • Several years of experience in IT and data architecture & management.
  • Hands-on experience in architecture & business process modelling.

Aufgaben

  • Develop and maintain architecture and business process models.
  • Collaborate with cross-functional teams to establish data ownership.
  • Implement architecture best practices for data assets.

Kenntnisse

Data Governance
Data Integration
Data Monetization
Architecture Modelling
Collaboration
English

Ausbildung

Bachelor’s or Master’s degree

Tools

Erwin-DIS
Collibra
Informatica

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: Work closely with other architects to develop the Business Information Model, serving as a crucial blueprint.
  2. Architecture Modelling: Develop and maintain architecture and business process models that align with business requirements, ensuring data accuracy, consistency, and availability for various data-related use cases.
  3. Data Governance: Collaborate with cross-functional teams to establish data ownership and stewardship, and develop common data domain models across business units.
  4. Data Catalogue: Implement architecture best practices to create a common business vocabulary that enables stakeholders to understand and communicate about data assets, including their structure, usage, and governance requirements.
  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 with stakeholders to create data products and services.
Authentic & Ambitious - Your Profile
  • Bachelor’s or Master’s degree in relevant fields with several years of experience in IT and data architecture & management.
  • Proven experience working with stakeholders from different countries and backgrounds.
  • Hands-on experience in architecture & business process modelling and implementing data architecture principles across projects.
  • Good knowledge of Data Lake, Data Warehouse, Data Integration concepts, Azure data technologies, data monetization strategies, and successful implementations.
  • Strong proficiency with data catalogue tools like Erwin-DIS, Collibra, Informatica.
  • Familiarity with AI and ML frameworks, algorithms, and their integration into data architecture.
  • English language proficiency.
We Offer
  • Full flexibility: Work from anywhere in Germany, including offices from Hamburg to Munich. Enjoy workation options for up to 20 days per year within Europe.
  • Recharge your energy: 30 holidays per year, with free days on Christmas and New Year’s Eve. Option to exchange salary parts for more holidays or take a sabbatical.
  • Your development: We support your growth with individual training and development opportunities.
  • Mobility benefits: Car and bike leasing schemes, job tickets at most locations.
  • Future planning: Company retirement schemes and comprehensive insurance packages.
  • And more: We look forward to discussing additional benefits during the recruiting process.
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