Job
- Level
- Senior
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you design modern cloud architectures for data platforms, plan sustainable data flows, and define target architectures for AI and ML applications while collaborating with interdisciplinary teams.
Job Technologies
Your role in the team
- As a Data Platform Architect, you assume the architectural responsibility in client projects.
- You design cloud and lakehouse architectures that are high-performance, secure, governance-compliant, and future-proof — with a clear focus on delivering high-quality data for AI and ML applications.
- You work closely with engineers, governance experts, and business units to ensure that architectural solutions are sustainable in the long term.
- You design end-to-end architectures for modern data platforms in cloud environments (Azure, AWS, or GCP).
- You define target architectures for Lakehouse, Data Warehouse, and hybrid platform models.
- You are responsible for architectural decisions regarding scalability, security, governance, and cost optimization.
- You design data architectures to support AI and ML use cases - including feature provisioning and structured data products.
- You structure data flows for batch and streaming scenarios.
- You define modeling strategies (e.g., Data Vault 2.0 or dimensional modeling according to Kimball).
- You ensure the integration of data governance and compliance requirements.
- You conduct architecture workshops and translate technical requirements into robust technical concepts.
- You support the implementation by engineering teams and ensure architecture quality.
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Our expectations of you
Qualifications
- Solid knowledge of at least one cloud platform (Azure, AWS, or GCP).
- Deep understanding of modern Lakehouse and Data Warehouse architectures.
- Understanding of architecture for streaming and batch processing.
- Ability to communicate complex technical issues in a structured and understandable manner.
- Very good knowledge of German and English.
Experience
- Several years of experience (typically 5-8+ years) in data architecture or Data Platform design.
- Experience in defining scalable data models (Data Vault 2.0 and/or Kimball).
- Experience in security, access, and governance concepts for data platforms.
- Multi-cloud experience and involvement in transformation or modernization programs are advantageous.
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What we offer
- Flexible working hours: To optimally balance family and work, you can structure your workday according to your individual needs.
- Additionally, benefit from personalized models, workation, and sabbaticals.
- Home office: Whether from the office or another location - mobile working is part of our daily routine.
- Mindset: Open door, team spirit, and flat hierarchies are not just buzzwords at #teamGFT, but a lived practice.
- 000 talents worldwide: Benefit from global exchange with experts from over 20 countries in your field.
- Further education & certifications: Participate in training courses, conferences, and certifications.
- We tailor our approach to your individual needs.
- Location-based extras: Benefit from additional perks such as Job Rad, company pension scheme, and much more.
- Latest Technologies: By working with internationally leading corporations and deploying interdisciplinary teams, we stay at the forefront of the industry and continuously engage with the newest methods and technologies.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
GFT Technologies AG
GFT Technologies SE is a first-class information technology service provider for the financial and industrial sectors. We offer our clients tailor-made IT solutions that help them compete in an increasingly complex environment. In doing so, we rely on innovation and creativity to stay one step ahead of our clients.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Banking, Finance, Insurance, Internet, IT, Telecommunication
Data Platform Architect
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
