Solution Engineer Cloud & AI Data
π Job Overview
- Job Title: Solution Engineer - Cloud & AI Data
- Company: Microsoft
- Location: Multiple Locations, Switzerland
- Job Type: Full-Time
- Category: Solution Engineering
- Date Posted: 2025-08-01
- Experience Level: Mid-Senior Level (2-5 years)
π Role Summary
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π Enhancement Note: This role focuses on helping enterprise customers unlock the full potential of Microsoft's cloud database and analytics stack, including Azure Databases and Analytics, by providing technical guidance and accelerating deployment workflows.
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As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
π» Primary Responsibilities
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π Enhancement Note: The primary responsibilities revolve around customer engagement, solution design, and deployment acceleration.
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Collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops.
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Work hand-in-hand with fellow Solution Engineer colleagues focusing more on AI Applications and Infra topics.
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Guide customers through secure, scalable solution design, influencing technical decisions, and accelerating database and analytics migration into their deployment workflows.
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Enjoy flexible work opportunities while helping customers modernize their data platform and realize the full value of Microsoft's platform.
π Skills & Qualifications
Education: A bachelor's degree in Computer Science, Engineering, or a related field. Relevant experience may be considered in lieu of a degree.
Experience: 2-5 years of experience in databases, analytics, or a related field. Experience with cloud technologies and AI is a plus.
Required Skills:
- Proven expertise in databases and analytics.
- Strong cloud and AI knowledge, with a focus on Azure Databases and Analytics.
- Excellent solution design and architecture skills.
- Strong communication and presentation skills.
- Ability to work collaboratively in a team environment.
- Strong problem-solving skills and a passion for learning.
Preferred Skills:
- Experience with Proof of Concepts, hackathons, and architecture workshops.
- Familiarity with AI applications and infrastructure topics.
- Knowledge of Microsoft's cloud database and analytics stack.
- Experience with customer engagement and deployment workflows.
π Web Portfolio & Project Requirements
Portfolio Essentials:
- Demonstrate your expertise in databases and analytics through relevant projects.
- Showcase your solution design and architecture skills with clear, well-documented examples.
- Highlight your problem-solving skills and ability to work collaboratively in a team environment.
Technical Documentation:
- Provide clear, concise documentation for your projects, including code comments, version control, and deployment processes.
- Include testing methodologies, performance metrics, and optimization techniques used in your projects.
π΅ Compensation & Benefits
Salary Range: The salary range for this role is CHF 90,000 - CHF 150,000 per year, depending on experience and location. This estimate is based on market research and regional salary standards for similar roles in Switzerland.
Benefits:
- Competitive benefits package, including health insurance, pension plans, and employee stock purchase plans.
- Generous time off, including vacation, sick leave, and parental leave.
- Opportunities for professional development, including training, certifications, and conference attendance.
- A dynamic, collaborative work environment with a strong focus on innovation and continuous learning.
Working Hours: Full-time position with flexible work arrangements, including remote work options. Working hours may vary depending on project deadlines and customer needs.
π― Team & Company Context
π’ Company Culture
Industry: Microsoft operates in the technology industry, with a strong focus on cloud computing, productivity, and business processes. This role will be part of the Databases & Analytics team, which is a growth opportunity for Microsoft Azure and its customers.
Company Size: Microsoft is a large corporation with a global presence, employing over 180,000 people worldwide. This size provides ample opportunities for growth and collaboration.
Founded: Microsoft was founded in 1975 and has since grown into one of the world's leading technology companies. The company's mission is to empower every person and every organization on the planet to achieve more.
Team Structure:
- The Databases & Analytics team is part of the Azure engineering organization, working closely with engineering leaders and platform teams.
- The team consists of Solution Engineers focusing on cloud & AI data, as well as AI applications and infrastructure topics.
- The team works collaboratively, with a strong focus on innovation, continuous learning, and customer engagement.
Development Methodology:
- Microsoft follows an Agile development methodology, with a focus on iterative development, customer feedback, and continuous improvement.
- The team uses Azure DevOps for project management, version control, and deployment automation.
- Microsoft encourages a culture of experimentation, learning, and growth, with a strong emphasis on innovation and collaboration.
Company Website: Microsoft
π Career & Growth Analysis
Web Technology Career Level: This role is at the mid-senior level, focusing on solution design, architecture, and technical guidance. It provides an excellent opportunity for career growth, technical skill development, and leadership potential.
Reporting Structure: The role reports directly to the engineering manager of the Databases & Analytics team. The team works closely with other Azure engineering teams, as well as cross-functional teams within Microsoft.
Technical Impact: The role has a significant technical impact on customer projects, helping them modernize their data platform and realize the full value of Microsoft's platform. The role also influences technical decisions and accelerates database and analytics migration workflows.
Growth Opportunities:
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π Enhancement Note: This role offers numerous growth opportunities, including technical skill development, leadership potential, and career progression paths.
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Technical skill development through hands-on engagements, customer interactions, and continuous learning opportunities.
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Leadership potential through mentoring, team management, and architecture decision-making.
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Career progression paths within the Databases & Analytics team, as well as other Azure engineering teams and cross-functional roles within Microsoft.
π Work Environment
Office Type: Microsoft offers a dynamic, collaborative work environment with a strong focus on innovation and continuous learning. The company has multiple offices worldwide, with flexible work arrangements, including remote work options.
Office Location(s): Multiple locations in Switzerland, with the option to work remotely.
Workspace Context:
- Microsoft provides modern, collaborative workspaces with state-of-the-art development tools, multiple monitors, and testing devices.
- The company encourages cross-functional collaboration between developers, designers, and stakeholders, with a strong focus on user experience and customer engagement.
- Microsoft offers flexible work arrangements, including remote work options, to accommodate diverse work preferences and needs.
Work Schedule: Full-time position with flexible work arrangements, including remote work options. Working hours may vary depending on project deadlines and customer needs.
π Application & Technical Interview Process
Interview Process:
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π Enhancement Note: The interview process for this role is likely to include technical assessments, customer engagement scenarios, and behavioral interviews.
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Process Step 1: Technical assessment, focusing on solution design, architecture, and problem-solving skills. Prepare for hands-on engagements, such as Proof of Concepts and architecture workshops.
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Process Step 2: Customer engagement scenario, demonstrating your ability to guide customers through secure, scalable solution design and accelerate database and analytics migration workflows.
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Process Step 3: Behavioral interview, focusing on your ability to work collaboratively in a team environment, communicate effectively, and influence technical decisions.
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Process Step 4: Final evaluation, assessing your overall fit for the role, team, and company.
Portfolio Review Tips:
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π Enhancement Note: Prepare a portfolio showcasing your expertise in databases and analytics, solution design, and architecture. Highlight your problem-solving skills and ability to work collaboratively in a team environment.
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Portfolio Tip 1: Include clear, well-documented examples of your solution design and architecture skills, demonstrating your ability to guide customers through secure, scalable solution design.
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Portfolio Tip 2: Highlight your problem-solving skills and ability to work collaboratively in a team environment, with a focus on customer engagement and deployment workflows.
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Portfolio Tip 3: Include testing methodologies, performance metrics, and optimization techniques used in your projects, demonstrating your attention to detail and commitment to quality.
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Portfolio Tip 4: Tailor your portfolio to the specific needs of the Databases & Analytics team and the Azure engineering organization, highlighting your relevant skills and experiences.
Technical Challenge Preparation:
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π Enhancement Note: Prepare for technical challenges focusing on solution design, architecture, and problem-solving skills. Familiarize yourself with Microsoft's cloud database and analytics stack, as well as relevant customer engagement scenarios.
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Challenge Preparation 1: Brush up on your solution design and architecture skills, with a focus on Azure Databases and Analytics. Prepare for hands-on engagements, such as Proof of Concepts and architecture workshops.
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Challenge Preparation 2: Familiarize yourself with customer engagement scenarios, demonstrating your ability to guide customers through secure, scalable solution design and accelerate database and analytics migration workflows.
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Challenge Preparation 3: Practice your problem-solving skills and communication techniques, with a focus on influencing technical decisions and working collaboratively in a team environment.
ATS Keywords:
- Databases, Analytics, Cloud, AI, Solution Design, Technical Advisor, Deployment, Migration, Collaboration, Innovation, Continuous Learning, Architecture, Proof of Concepts, Hackathons, Customer Engagement, Scalability, Security, Azure Databases, Azure Analytics, Microsoft, Solution Engineering, Technical Interview, Problem-Solving, Customer Engagement Scenario, Behavioral Interview, Final Evaluation, Portfolio, Solution Design Skills, Architecture Skills, Problem-Solving Skills, Customer Engagement Workflows, Technical Assessment, Technical Challenge, Solution Engineer, Databases & Analytics Team, Azure Engineering Organization, Technical Skill Development, Leadership Potential, Career Progression Paths.
π Technology Stack & Web Infrastructure
Frontend Technologies: N/A (This role focuses on backend and infrastructure technologies)
Backend & Server Technologies:
- Azure Databases (SQL Database, Cosmos DB, Azure DB for PostgreSQL, etc.)
- Azure Analytics (Azure Synapse Analytics, Azure Databricks, etc.)
- Azure AI Platform (Azure Machine Learning, Azure Cognitive Services, etc.)
- Azure Infrastructure (Azure Virtual Machines, Azure Kubernetes Service, etc.)
Development & DevOps Tools:
- Azure DevOps (Version Control, Project Management, Deployment Automation)
- Visual Studio Code (Integrated Development Environment)
- PowerShell (Scripting and Automation)
- Azure CLI (Command-Line Interface for Azure Services)
- Azure Portal (Web-Based Interface for Azure Services)
π₯ Team Culture & Values
Web Development Values:
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π Enhancement Note: Microsoft's values are deeply rooted in its mission to empower every person and every organization on the planet to achieve more. These values are reflected in the company's culture, team dynamics, and approach to customer engagement.
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Web Development Value 1: Innovation - Microsoft encourages a culture of experimentation, learning, and growth, with a strong emphasis on innovation and collaboration.
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Web Development Value 2: Customer Obsessed - Microsoft is committed to understanding and addressing the needs of its customers, with a focus on user experience and customer engagement.
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Web Development Value 3: One Microsoft - Microsoft fosters a collaborative, cross-functional work environment, with a strong emphasis on teamwork and shared goals.
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Web Development Value 4: Growth Mindset - Microsoft encourages a growth mindset, with a focus on continuous learning, skill development, and career progression.
Collaboration Style:
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π Enhancement Note: Microsoft encourages a collaborative, cross-functional work environment, with a strong emphasis on teamwork and shared goals.
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Collaboration Approach 1: Cross-functional integration between developers, designers, and stakeholders, with a strong focus on user experience and customer engagement.
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Collaboration Approach 2: Code review culture and peer programming practices, with a focus on quality, innovation, and continuous learning.
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Collaboration Approach 3: Knowledge sharing, technical mentoring, and continuous learning, with a strong emphasis on growth and development.
β‘ Challenges & Growth Opportunities
Technical Challenges:
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π Enhancement Note: This role presents numerous technical challenges, focusing on solution design, architecture, and customer engagement.
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Web Development Challenge 1: Designing secure, scalable solutions for enterprise customers, with a focus on Azure Databases and Analytics.
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Web Development Challenge 2: Accelerating database and analytics migration workflows, with a focus on customer engagement and deployment.
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Web Development Challenge 3: Influencing technical decisions and working collaboratively in a team environment, with a focus on problem-solving and communication.
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Web Development Challenge 4: Staying up-to-date with the latest technologies and trends in databases, analytics, and AI, with a focus on continuous learning and skill development.
Learning & Development Opportunities:
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π Enhancement Note: Microsoft offers numerous learning and development opportunities, focusing on technical skill development, leadership potential, and career progression paths.
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Learning Opportunity 1: Technical skill development through hands-on engagements, customer interactions, and continuous learning opportunities.
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Learning Opportunity 2: Conference attendance, certifications, and community involvement, with a focus on expanding your knowledge and network.
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Learning Opportunity 3: Technical mentorship, leadership development, and architecture decision-making, with a focus on career progression paths.
π‘ Interview Preparation
Technical Questions:
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π Enhancement Note: Prepare for technical questions focusing on solution design, architecture, and problem-solving skills. Familiarize yourself with Microsoft's cloud database and analytics stack, as well as relevant customer engagement scenarios.
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Technical Question 1: Describe a complex solution design or architecture challenge you've faced in the past and how you overcame it.
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Technical Question 2: Walk us through a customer engagement scenario, demonstrating your ability to guide customers through secure, scalable solution design and accelerate database and analytics migration workflows.
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Technical Question 3: How do you approach problem-solving and decision-making in a team environment, with a focus on influencing technical decisions and working collaboratively?
Company & Culture Questions:
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π Enhancement Note: Prepare for company and culture questions, focusing on your fit within Microsoft's team dynamics, values, and approach to customer engagement.
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Technical Question 4: How do you embody Microsoft's values in your daily work, and how do these values influence your approach to customer engagement and solution design?
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Technical Question 5: Describe a time when you had to collaborate with a cross-functional team to achieve a shared goal. What was the outcome, and what did you learn from the experience?
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Technical Question 6: How do you stay up-to-date with the latest technologies and trends in databases, analytics, and AI, and how do you apply this knowledge to your work?
Portfolio Presentation Strategy:
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π Enhancement Note: Prepare a portfolio presentation strategy, focusing on your expertise in databases and analytics, solution design, and architecture. Highlight your problem-solving skills and ability to work collaboratively in a team environment.
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Presentation Strategy 1: Include clear, well-documented examples of your solution design and architecture skills, demonstrating your ability to guide customers through secure, scalable solution design.
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Presentation Strategy 2: Highlight your problem-solving skills and ability to work collaboratively in a team environment, with a focus on customer engagement and deployment workflows.
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Presentation Strategy 3: Include testing methodologies, performance metrics, and optimization techniques used in your projects, demonstrating your attention to detail and commitment to quality.
π Application Steps
To apply for this Solution Engineer - Cloud & AI Data position at Microsoft:
- Submit your application through the application link provided.
- Concrete Preparation Step 1: Tailor your resume and portfolio to the specific needs of the Databases & Analytics team and the Azure engineering organization, highlighting your relevant skills and experiences.
- Concrete Preparation Step 2: Brush up on your solution design and architecture skills, with a focus on Azure Databases and Analytics. Prepare for hands-on engagements, such as Proof of Concepts and architecture workshops.
- Concrete Preparation Step 3: Familiarize yourself with customer engagement scenarios, demonstrating your ability to guide customers through secure, scalable solution design and accelerate database and analytics migration workflows.
- Concrete Preparation Step 4: Research Microsoft's values, team dynamics, and approach to customer engagement. Prepare for company and culture questions, focusing on your fit within the organization.
π Enhancement Note: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
π Enhancement Note: This role is subject to Microsoft's standard employment verification and background screening processes. Microsoft is an equal opportunity employer and welcomes applications from people with disabilities. Information collected from job applications will be used only for selection and hiring processes. Microsoft does not disclose job applicant information to external parties or anyone outside of Microsoft.
Application Requirements
The role requires a deep passion for databases and analytics, along with the ability to tackle complex challenges. You will collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform.