WorkMotion
GFT Technologies SE
Data Platform Architect (w/m/d)
About the opportunity
GFT Technologies is a responsible, AI-driven global digital transformation company. We design advanced solutions for data and AI transformation, modernize technology infrastructures, and develop next-generation core systems for leading banks, insurance companies, and industrial and robotics firms. Working closely with our clients, we push boundaries to unlock their full potential.
Let’s Go Beyond!
In the Center of Excellence Data, we develop modern, scalable AI-Ready Data Platforms that enable analytics and AI use cases productively.
As a Data Platform Architect, you will take architectural responsibility in client projects. You will design cloud and Lakehouse architectures that are powerful, secure, governance-compliant, and future-proof – with a clear focus on delivering high-quality data for AI and ML applications. You will work closely with engineers, governance experts, and business departments, ensuring that architectural solutions are sustainable in the long term.
We are committed to developing together with you to become even better! Our motivated team looks forward to welcoming you and your experience as a Data Platform Architect (m/f/d)!
Your Responsibilities
- 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 business requirements into robust technical concepts.
- You support the implementation by engineering teams and ensure architectural quality.
What You Bring
- Several years of experience (typically 5–8+ years) in data architecture or data platform design.
- Profound knowledge in at least one cloud platform (Azure, AWS, or GCP).
- Deep understanding of modern Lakehouse and Data Warehouse architectures.
- Experience in defining scalable data models (Data Vault 2.0 and/or Kimball).
- Architectural understanding of streaming and batch processing.
- Experience in security, access, and governance concepts for data platforms.
- Ability to communicate complex technical issues in a structured and understandable manner.
- Very good German and English language skills.
- Multi-cloud experience and participation in transformation or modernization programs are a plus.
What We Offer You
- Flexible working hours: To optimally balance family and career, you can shape your workday according to your individual needs. Benefit further from individual 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 buzzwords in #teamGFT but lived practice.
- 12.000 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 cater to your individual needs.
- Location-specific extras: Benefit from additional perks, such as company bikes, company pension plans, and much more.
- Latest technologies: By working with internationally leading corporations and utilizing interdisciplinary teams, we are at the forefront of innovation and constantly engage with the latest methods and technologies.
Diversity makes us stronger. That's why at GFT, we create a work environment where everyone feels welcome, respected, and valued. What counts for us are your personality, your talents, and your ideas – regardless of gender, origin, religion, age, disability, or sexual identity.
