Architect

Microsoft; España; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading technology firm in Spain is seeking a technical leader to drive the vision and execution of complex data and AI projects. Responsibilities include engaging with customers, designing Azure solutions, overseeing project delivery, and ensuring alignment with customer needs. The ideal candidate has strong experience in technology architecture and fluent Spanish and English skills. This role offers competitive benefits and opportunities for growth.

Servicios

Competitive Salary

Health Insurance

Professional Development Opportunities

Formación

• Bachelor's or Master's degree in relevant field or equivalent experience.
• Proven experience in technical consulting within data and AI.
• Fluency in Spanish (minimum C1) and English, both written and spoken.

Responsabilidades

• Lead the technical vision of complex data and AI projects.
• Engage with customer stakeholders to gather insights.
• Design robust Azure solution architectures for data workloads.
• Collaborate with project managers to oversee solution delivery.
• Serve as a trusted advisor to customers, focusing on their needs.
• Contribute to Microsoft’s internal and external thought leadership.

Conocimientos

Technical Project Leadership

Cloud Solutions Architecture

AI and Machine Learning

Customer Engagement

Problem-Solving

Bilingual Spanish and English

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Azure Data Services

Azure Machine Learning

Power BI

Databricks

Descripción del empleo

Responsibilities (Text Only)

In this role, you will lead the technical vision and execution of complex data & AI projects, from initial strategy through successful delivery. Your core responsibilities will include: - Understand and Envision Customer Needs: Engage with customer stakeholders (business sponsors, CIO/CTO, enterprise architects, IT and security teams) to gather deep insights into their technical environment and business goals. Use these insights to shape solution definitions during pre-sales and to refine project execution approaches. You will anticipate industry trends and align solutions to address industry-specific challenges, influencing customers’ long-term technology strategy. Acting as the customer’s advocate, you’ll share feedback with Microsoft engineering to improve our products and services for better alignment with customer needs. - Architecture Design & Technical Leadership: Leverage structured architecture methodologies and reference designs to create robust solution architectures for data analytics and AI workloads on Azure. This includes designing end-to-end Azure-based architectures encompassing data ingestion, storage, processing (batch and real-time), machine learning, and visualization. You will document the architecture (architecture description, decisions log, requirements traceability) and explain it in terms of business value (ROI, cost savings, agility). Drive technical decisions that balance innovation with feasible execution. For example, you might design a solution to unify a client’s data platform using Azure Fabric or Databricks, implement an AI-powered application with Azure Machine Learning and Cognitive Services, or deploy a generative AI solution using Azure OpenAI and Azure Foundry, all while ensuring scalability and performance. - Lead Solution Delivery & Governance: Collaborate closely with ISD Project Managers, ATU, CSU, STU to govern the build and deployment of the proposed architecture through proof-of-concepts, pilots, and full implementation. You will provide end-to-end oversight, ensuring the solution is delivered with high quality and aligns with the proposed design. This involves defining technical governance processes, conducting design reviews, and guiding engineering teams during development and deployment. You will foresee and mitigate technical risks or blockers (e.g. performance issues, integration challenges) by orchestrating the right expertise from across Microsoft and resolving complex escalations. In doing so, you ensure a smooth transition of the solution to live operations in the customer environment, with appropriate release planning and handover for ongoing management. - Customer Advocacy & Change Management: Serve as a trusted advisor to customers, maintaining a customer-centric perspective throughout engagements. You will champion the customer’s requirements and success criteria, ensuring the delivered solution truly meets their needs and brings the expected business value (whether that’s improving decision-making with AI insights, optimizing processes with automation, or enabling new digital services). If project changes are needed, you’ll communicate trade-offs and secure buy-in. By leveraging evidence-based insights and industry best practices, you will sometimes challenge the status quo or customers’ assumptions to recommend more effective approaches. Your advisory role also means guiding customers through organizational change – for instance, advising on upskilling their team to effectively use a new AI platform, or adjusting processes to take advantage of real-time analytics. - Practice Development & Thought Leadership: Contribute to Microsoft’s internal community and best practices. You will capture learnings from projects to develop reusable intellectual property (IP)– for example, reference architectures, templates, or design patterns for common scenarios (like an Azure data lakehouse design or an AI-powered chatbot pattern). Mentor junior architects and share knowledge on emerging technologies (such as new Azure AI services, or best practices for data governance in the age of AI). Externally, you will represent Microsoft as a thought leader: this could involve presenting at industry conferences, leading technical workshops, or publishing whitepapers/blogs on innovative data & AI solutions. By staying at the forefront of technology trends, you ensure both our team and our customers benefit from the latest advancements. - Drive Innovation with Microsoft Technologies: Always be on the lookout for how new Microsoft cloud capabilities can solve customer challenges. For example, you might prototype solutions with Azure Arc for hybrid data management or adopt Azure IoT Operations to bring analytics closer to data sources when needed. You will also incorporate Power Platform (Power BI, Power Automate, Power Apps) as appropriate to extend solutions with low-code capabilities or advanced analytics, and ensure architectures can integrate with Microsoft 365 (and Dynamics 365) where those systems are part of the customer landscape. Ultimately, you are responsible for designing solutions that differentiate Microsoft’s offerings and clearly demonstrate to customers how our end-to-end technology stack (Azure data services, AI services, and productivity tools) can empower their business. - Risk Management & Quality Assurance: Proactively identify potential risks (technical, logistical, or business) that could impact project success. For each major project, you’ll help define risk mitigation plans and contingency approaches. For example, if a machine learning solution depends on data quality, you’ll ensure proper data validation processes are in place to avoid garbage-in, garbage-out. You will also establish quality standards and testing plans for solutions – making sure every requirement is traced to a tested implementation. If issues arise (e.g., a performance bottleneck or security concern), you will coordinate with engineers to resolve them or adjust the design if needed. Your goal is to deliver a solution that meets or exceeds customer expectations with minimal post-deployment surprises. By fulfilling these responsibilities, you will enable customers to modernize their data platforms, adopt AI responsibly, and achieve tangible business outcomes. You will be directly contributing to solution areas like “Migrate & Modernize Your Estate”, “Unify Your Data Platform”, and “Innovate with Azure AI Apps and Agents”– which are key priorities in our Cloud and AI strategy.

Qualifications (Text Only)

Required Qualifications: - Bachelor’s degree in computer science, information technology, engineering, or related field AND experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Data & AI) OR master’s degree in computer science, information technology, engineering, or related field AND experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Data & AI) OR equivalent experience including career returners and those with non-linear paths - Proven experience in technology architecture, solution design, and/or technical consulting within data, analytics, or AI domains. - Proven track recordof leading complex technical projects from concept to delivery is a must. Experience should cover end-to-end solution lifecycle – from requirements to design, deployment, and operational support - Proven Cloud & AI experience e.g., GenAI, LLM, SLM, Multi-modal AI, Retrieval-Augmented Generation (RAG), Agents/Agentic. - Fluency in both Spanish (minimum C1) and English, written and spoken. Professional proficiency in Spanish is essential for this role, due to the nature of the responsibilities which involve regular communication and documentation in Spanish. Preferred Qualifications: - Consultative Problem Solving: Proven problem-solving skillswith the ability to approach new, ambiguous technical challenges and devise creative solutions. - Communication and Presentation: Proven communication skills, both written and verbal. You must be able to articulate complex technical concepts in a clear, business-friendly manner. - Leadership & Collaboration: Proven ability to lead technical teamsand mentor others. You are comfortable taking ownership of outcomes and can coordinate multiple contributors (developers, engineers, data scientists, etc.) toward a common goal. - Professional Certifications: Azure certifications such as Azure Solutions Architect Expert, Azure Data Engineer, or Azure AI Engineer. Certification in enterprise architecture frameworks (TOGAF, etc.) or project management (PMP, Scrum) can also be beneficial. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a requestvia the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.