Experteer Overview
La información a continuación detalla los requisitos del puesto, la experiencia esperada del candidato y las cualificaciones correspondientes.
As a Senior Consultant for Azure Data & AI, you design and deliver modern data and AI solutions for partners and customers across EMEA. You act as a technical lead on complex engagements, guiding discovery, design, and implementation while mentoring others and developing reusable assets. You collaborate across technical and commercial teams to create scalable outcomes and drive growth of the practice. This role offers impact at scale through cloud, data, and AI transformations.
Compensaciones / Beneficios
• Lead qualification, discovery, and solution design for Azure Data & AI engagements
• Translate business and technical requirements into secure, scalable Azure data and AI architectures
• Design, implement, and validate data platforms, analytics, ML, and AI solutions
• Contribute to statements of work, scope, effort estimates, and delivery assumptions
• Act as senior technical lead to identify risks, dependencies, and opportunities early
• Support customer adoption of analytics, ML, and generative AI on Azure
• Produce architecture, implementation, and handover documentation
• Mentor colleagues and contribute to reusable assets, accelerators, and go-to-market propositions
Responsabilidades
• 5+ years in a technical consulting or delivery role
• Proven experience designing and delivering Azure-based data and AI solutions
• Strong understanding of Azure data/analytics services (Data Factory, Fabric, Synapse, Databricks, Data Lake, Azure AI)
• Experience xpzdshu with analytics, data engineering, ML, or AI solution delivery
• Excellent English and Spanish communication; other European languages a plus
• Ability to engage with customers and translate challenges into practical solutions
• Experience contributing to workshops, discovery sessions, and pre-sales discussions
• Strong communication, leadership, and mentoring capabilities
• Familiarity with Python, SQL, and cloud data governance, security, and compliance
Requisitos principales
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