You will lead the design of robust, customer-centric technology solutions across the aviation and logistics industries. This role involves translating business needs into actionable architectures, guiding delivery teams, and ensuring scalable, secure implementations that deliver real business value.In this role, you will :Be a trusted partner with new and potential zeroG customers, actively understanding business problems, translating them into architecture design, and creating solution blueprints aligned with customer goals and enterprise constraints.Partner with diverse delivery teams of data scientists, data engineers, analysts, and business stakeholders to ensure successful implementations.Lead pre-sales activities to create new business opportunities and extend existing customer engagements.Develop and maintain architectural, data governance, and data management standards, balancing speed with long-term value.Coach and mentor other zeroG colleagues in Solution Architecture.Contact E-mail address for inquiries LinkedInCompany bonus (if applicable), free parking, flight privileges, subsidized canteen, job ticket/public transport subsidy, business cell phone/iPad, bike leasing, support for relocation, discounts/shopping, employee events (summer festivals, sports competitions), part-time models, hybrid working, flexible hours, mentoring, lockers for cyclists/sports enthusiasts, remote work options, flexible working hours, and part-time options.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 prefer living in Berlin over Frankfurt but believe your skills and personality would benefit our company, we still want to hear from you!A Bachelor's or Master's degree in computer science, software/data engineering, or a related field.Minimum of 7+ years of professional experience in data, analytics, or a related area, including a strong foundation in Machine Learning and Generative AI.A proven track record in solution architecture design and implementation of data-centric, machine learning-based systems across the full lifecycle.Expertise in cloud environments such as Azure, Google Cloud, or AWS.Excellent technical understanding for non-functional requirements including query performance, data quality, model performance, and security.Ability to explain complex analytical concepts to non-technical audiences.The full list can be found on our website. #J-18808-Ljbffr