Microsoft Cloud Architect Pre-Sales

The opportunity

PwC isseekingan experienced and client-focused Microsoft Cloud Architect to join our Cloud Engineering Data & Analytics team in Bucharest. This role bridges the gap between client business challenges and cloud technology solutions with a strong emphasis on pre-sales engagement opportunity identification and solution design.

You will work alongside client executives practice leaders and delivery teams to translate complex business requirements into technology-enabled solutions that deliver measurable business value. As a trusted advisor you will shape cloud and AI transformation strategies whileleveragingMicrosoft Cloud technologies to support business development solution design and strategic client engagements.

What you will be doing

Client Engagement & Pre-Sales (50%)

• Lead discovery sessions workshops and assessments toidentifybusiness challenges strategic priorities and cloud & AI transformation opportunities.

• Build trusted relationships with executives business stakeholders and technical teams developing a deep understanding of clientobjectivesand operating environments.

• Present cloud and AI value propositions architecture solutions technology demonstrations and executive recommendations.

• Support RFPs POCs competitive bids and go-to-market initiatives in collaboration with sales and delivery teams.

• Assess cloud and AI readiness define transformation opportunities and represent PwC at client and industry events.

Solution Architecture & Design (35%)

• Design scalable Microsoft cloud solutions integrated with AI and advanced analytics capabilities.

• Translate business requirements into architecture blueprints technical specifications and implementation roadmaps.

• Develop business cases ROI analyses and TCO modelsdemonstratingthe value of cloud and AI initiatives.

• Design secure compliant and cost-optimized architectures enabling AI-ready infrastructure cloud migration application modernization and hybrid-cloud adoption.

• Architect AI solutions using Azure AI Services Machine Learning Cognitive Services and Azure Synapse.

• Conduct security governance and compliance assessments and ensure alignment with client strategy budget and organizational capabilities.

Proposal Development & Commercial Execution (10%)

• Lead the development of business and technical proposals including executive summaries solution approaches delivery methodologies implementation plans pricing models and resource estimates.

• Define business outcomes success criteria KPIs and value realization metrics.

• Ensure proposal quality accuracy competitiveness and alignment with market positioning.

Thought Leadership & Capability Development (5%)

• Maintainexpertisein Microsoft cloud technologies AI/ML capabilities advanced analytics and industry best practices.

• Contribute to internal knowledge assets reusable solution templates and PwC cloud and AI capability initiatives.

• Mentor junior architects and consultants andparticipatein industry events webinars conferences and thought leadership activities.

What we need from you:

Professional Experience

• 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.

Technical Expertise

• 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.

Certifications

• Azure Solutions Architect Expert (AZ-305)REQUIRED.

• Additional Azure certifications strongly preferred: Azure Administrator (AZ-104) Azure Data Engineer (AZ-400) or Azure Security Engineer (AZ-500).

• Azure AI certifications preferred: Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100).

Consulting & Leadership Skills

• 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.

Preferred Qualifications

• Previousexperience in consulting or professional services environments.

• Industryexpertisein one or more sectors such as Financial Services Healthcare Manufacturing Government Retail Energy or Automotive.

• 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.

We Offer:

• Opportunities to impact:Work on high-impact cloud and AI transformation initiatives across diverse industries helping clients achieve measurable business outcomes.

• Mentoring:Access continuous learning opportunities through PwC University professional certifications knowledge-sharing programs and a clear career development path within a collaborative team of cloud and AI specialists.

• Work-life balance:Benefit from flexible working arrangements and work-life balance initiatives in a supportive and inclusive environment.

• Extraperks:Enjoy a competitive compensation and benefits package access to PwCs global network and Cloud & AI ecosystem and recognition for exceptional performance and client impact.

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