Forward Deployment Engineer

Who you are

• 5+ years of experience as a Forward Deployment Engineer, Data Platform Engineer, Data Architect, Solutions Engineer, or similar customer-facing role focused on enterprise data platforms
• Proven experience designing and implementing enterprise data platforms, AI data layers, and sovereign data spaces
• Deep expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation, data virtualization, APIs, event-driven architectures, and distributed data systems
• Strong understanding of AI-ready data architectures supporting analytics, machine learning, generative AI, Retrieval-Augmented Generation (RAG), vector databases, and knowledge graphs
• Experience with sovereign data ecosystems and interoperability frameworks such as GAIA-X, IDSA, and DSIF, with the ability to innovate beyond reference implementations to deliver customized business solutions
• Broad knowledge of modern cloud, hybrid, and enterprise technologies, with the ability to rapidly learn, evaluate, and adopt emerging tools and platforms
• Experience with containerization, infrastructure automation, CI/CD, DataOps/MLOps, observability, and secure-by-design engineering practices
• Demonstrated ability to leverage AI-assisted development and intelligent engineering tools to accelerate delivery while maintaining high quality and security standards
• Excellent consulting, communication, stakeholder management, and problem-solving skills

What the job involves

• We are looking for a Forward Deployment Engineer specializing in AI Data Platforms and Data Spaces to help customers accelerate their AI transformation
• You will work directly with clients to understand business challenges, assess their digital and data ecosystems, and design innovative AI-ready data platforms and sovereign data spaces that enable scalable AI solutions
• Engage with customers to identify business challenges, data opportunities, and AI use cases
• Assess enterprise data ecosystems, applications, infrastructure, and digital maturity
• Define roadmaps for AI-native transformation, focusing on AI-ready data platforms and sovereign data spaces
• Design, develop, and deploy production-ready data platforms, data spaces, and rapid Proofs of Value (PoVs)
• Architect modern enterprise data solutions, including data lakes, lakehouses, data warehouses, and federated data spaces
• Design scalable ETL/ELT pipelines, API-driven integrations, streaming architectures, and AI-ready data layers
• Build innovative data space solutions that extend standards such as GAIA-X, IDSA, and DSIF to address customer-specific business requirements
• Recommend the most appropriate technologies, architectures, and engineering practices for each customer, remaining technology-agnostic while leveraging AI-assisted development to accelerate delivery
• Ensure solutions are secure by design, scalable, maintainable, and aligned with enterprise governance and compliance requirements
• Collaborate with AI Engineers, Solution Architects, and business stakeholders to deliver measurable business outcomes
• What Success Looks Like:
• You are a customer-facing technology expert who combines deep knowledge of enterprise data platforms with strong consulting and engineering skills
• You rapidly assess customer environments, architect innovative AI-ready data platforms and sovereign data spaces and deliver production-ready solutions that go beyond standard implementations
• You are technology-agnostic, learn new technologies quickly, and leverage AI intelligently to build customized solutions that maximize business value