Pre-Sales Engineer
5 days ago
Madrid
We’re looking for a Solutions Architect / Presales Engineer with experience in the software industry, ideally having worked in similar roles involving complex data or AI-related platforms. As a Solutions Architect / Presales Engineer, you’ll play a key role in shaping the future of data management through a cutting-edge Generative AI Data Fabric Platform. You will support incoming business opportunities by translating customer needs into actionable technical solutions using the platform. This technology has a major impact on how companies manage data, analytics, and AI across their organization. You will engage with stakeholders from large companies — both technical and business decision-makers — as well as with strategic partners. In a fast-paced, dynamic environment, your primary mission will be to demonstrate the value and fit of the product within the client’s enterprise ecosystem. RESPONSIBILITIES • Collaborate closely with clients and partners to understand their business challenges and data needs. Participate in requirement-gathering sessions and guide toward the best possible solution (win-win approach)., • Lead the preparation of RFPs, RFIs, and commercial proposals alongside partners or clients., • Estimate team efforts and project costs using internal methodologies., • Coordinate technical requirements with internal teams., • Identify risks early and assess their potential impact., • Design and define solution architectures integrating the platform with other third-party providers or systems. KEY SKILLS & REQUIREMENTS Mandatory Requirements: • Previous experience leading presales opportunities or implementing data solutions (e.g., big data, data governance, advanced analytics, or cloud/data migrations)., • Strong communication and problem-solving skills: ability to listen actively, ask the right questions, and propose clear, creative solutions., • Strong leadership and negotiation skills with a win-win mindset., • Ability to design and articulate high-level technical solutions for large-scale systems., • Team player with a goal-driven and adaptable mindset., • Ability to deliver demos, workshops, and POCs effectively., • Strong presentation skills for diverse audiences, from C-level executives to technical teams. Technical Knowledge: • Solid understanding of software architecture, design patterns, data structures, generative AI, machine learning algorithms, and data governance best practices., • Hands-on knowledge of Apache Spark, PySpark, MLflow, and data pipelines., • Familiarity with frameworks for building agentic systems, retrieval-augmented generation (RAG), and related AI tools., • Experience using AI coding assistants (e.g., Windsurf, Cursor, Copilot) to rapidly develop prototypes., • Basic experience with Kubernetes concepts (deployments, services, ingresses, namespaces, cluster policies, etc.)., • Experience working with Kubernetes clusters in one or more environments (e.g., AKS, EKS, GKE, Minikube, Kind, Openshift, Rancher). Proficient English (spoken and written – minimum C1 or equivalent) is essential to work in an international environment. 📎 Data Privacy Notice All personal data provided will be processed solely for the purpose of managing your application. By submitting your application, you consent to the processing of your data.