You will lead the design of robust, customer-centric technology solutions across aviation & logistics industries. This role involves translating business needs into actionable architectures, guiding delivery teams, and ensuring scalable, secure implementations which deliver real business value.
In this role, you will:
1. Be a trusted partner with new and potential zeroG customers, actively understanding business problems, translating into architecture design, and creating solution blueprints aligned with customer goals and enterprise constraints
2. Partner with diverse delivery teams of data scientists, data engineers, analysts, and business stakeholders to ensure successful implementations
3. Lead pre-sales activities to create new business opportunities and extend existing customer engagements
4. Develop and maintain architectural, data governance, and data management standards, balancing speed with long-term value
5. Coach and mentor other zeroG colleagues in Solution Architecture
Contact E-mail address for inquiries LinkedIn
Company bonus (if applicable), Free parking, Flight privileges, Canteen (subsidized by employer), Jobticket / Subsidized public transport, Business cell phone / ipad, bike leasing, Support for relocation, Discounts / shopping, Employee events (summer festivals, participation in sports competitions etc), Part-time models, Hybrid working possible, Flexible working hours, Mentoring, Lockers for cyclists / sportsmen, Remote working (e.g. from home), Flexible workhours and part-time working models
We value hiring motivated, smart people who align with our company values over checking boxes - if you don't ‘perfectly’ fit the following criteria or would rather live in Berlin than Frankfurt but believe your skills and personality would bring our company forward, we still want to hear from you!
6. A Bachelor's or Master's degree in computer science, software/data engineering, or a related subject
7. Minimum of 7+ years professional experience in data, analytics or a related subject area, including a strong foundation in Machine Learning and Generative AI
8. A proven track record in solution architecture design and implementation of data-centric, machine learning-based systems across the full lifecycle
9. Expertise in cloud environments such as Azure, Google Cloud or AWS
10. Excellent technical understanding for catering to non-functional requirements including query performance, data quality, machine learning model performance and security
11. Ability to explain complex analytical concepts to a non-technical audience
The full list can be found on our website.