This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Join SDG as a Presales Data Solutions Architect: shape data strategies with top tech, craft compelling proposals, and drive real business value for global clients.
Job Responsibility:
Opportunity Discovery: Understand business needs and data challenges, identifying use cases that deliver real value
Technical Advisory: Provide expert guidance on data architectures, Cloud solutions (AWS, Azure, GCP), Analytics platforms, and Modern Data strategies tailored to each context
Solution Presentation: Prepare and deliver technical and commercial proposals to stakeholders at all levels, communicating success stories and SDG’s competitive edge
Presales Lifecycle Support: Actively participate from the initial approach to project kickoff, serving as the technical point of reference and ensuring alignment between client needs and organizational capabilities
Portfolio Growth & Business Development: Master and promote SDG’s full portfolio (Big Data, Cloud, AI, and Modern Data Warehouse), identifying new opportunities that impact the client’s bottom line
Innovation & Representation: Stay ahead of emerging trends. Represent SDG at strategic events and conferences, strengthening long-term relationships and positioning the brand as a leader
Requirements:
Degree in Engineering (Computer Science, Telecommunications, Industrial), Mathematics, Statistics, Physics, or related technical fields
Proven experience in data development/architecture or similar technical roles (Data Warehouses, Lakehouses, data pipelines, Big Data, Cloud)
Currently performing (or having previously performed) technical presales duties, with a demonstrated ability to define high-level solutions, prepare technical/economic proposals, and lead demos
Proven ability to defend proposals in competitive processes, evaluate and respond to RFPs, and identify strategic business opportunities
Professional English proficiency for working in international environments
Nice to have:
Familiarity with AI/ML & GenAI: Knowledge of Artificial Intelligence, Machine Learning, LLMs, and Generative AI applications within enterprise data solutions