Talent.com
Pre-Sales Engineer

Pre-Sales Engineer

confidentialMadrid, España
Hace más de 30 días
Descripción del trabajo

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.

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    Engineer • Madrid, España

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