Microsoft Cloud Architect - Pre-Sales
On-siteBucharest, București, Romania
Job Summary
Lead discovery sessions, workshops, and assessments to identify business challenges, strategic priorities, and cloud and AI transformation opportunities. Build trusted relationships with executives, business stakeholders, and technical teams, presenting value propositions, architecture solutions, and executive recommendations. Design scalable Microsoft cloud solutions integrated with AI and advanced analytics capabilities, translating requirements into blueprints, technical specifications, and implementation roadmaps. Develop business cases, ROI analyses, and TCO models while conducting security, governance, and compliance assessments. Lead proposal development, including executive summaries, solution approaches, and resource estimates, ensuring alignment with market positioning. Maintain expertise in Microsoft cloud technologies and AI/ML capabilities, contributing to internal knowledge assets and mentoring junior architects.
Required Qualifications
- 8+ years of experience in cloud architecture, enterprise IT solutions, digital transformation, or consulting environments
- 5+ years of hands-on Microsoft Azure experience across multiple client engagements
- Experience delivering AI/ML, advanced analytics, data engineering, or cloud transformation projects
- Proven success leading enterprise transformation initiatives, developing business cases, and supporting complex pre-sales engagements
- Experience working with C-level executives, business stakeholders, and technical teams
- Expert knowledge of Microsoft Azure, including infrastructure, networking, databases, security, governance, migration, hybrid-cloud, and multi-cloud architectures
- Strong understanding of cloud-native development, DevOps, automation, Infrastructure as Code (IaC), modern application architectures, and cloud cost optimization
- Experience with Azure AI Services, Azure Machine Learning, Azure OpenAI, Azure Synapse, and advanced analytics platforms
- Knowledge of data engineering, data platforms, AI/ML deployment, monitoring, governance, compliance, and enterprise integration patterns, including API management
- Familiarity with Python, Databricks, or similar AI and analytics technologies
- Azure Solutions Architect Expert (AZ-305) – REQUIRED
- Ability to translate complex business challenges into cloud and AI solutions with clear business value and measurable outcomes
- Strong communication, presentation, stakeholder management, and relationship-building skills
- Excellent analytical, problem-solving, and strategic thinking capabilities
- Ability to manage multiple stakeholders, competing priorities, and complex sales cycles
- Understanding of consulting methodologies, project delivery, and business development activities, including opportunity identification and solution shaping
- Ability to connect cloud infrastructure decisions with AI and analytics-driven business outcomes
- Collaborative leadership style with a strong focus on client success, innovation, and delivery excellence
Desired Qualifications
- Previous experience in consulting or professional services environments
- Industry expertise in one or more sectors such as Financial Services, Healthcare, Manufacturing, Government, Retail, Energy, or Automotive
- Additional Azure certifications: Azure Administrator (AZ-104), Azure Data Engineer (AZ-400), or Azure Security Engineer (AZ-500)
- Azure AI certifications: Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100)
- Experience with Azure Synapse, Azure Cognitive Services, Azure IoT, Azure Stack, or similar Microsoft technologies
- Exposure to emerging technologies and their business applications beyond cloud and AI
- Experience contributing to thought leadership through speaking engagements, blogs, whitepapers, case studies, or industry publications
- Fluency in English
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