Cloud & AI Solution Engineer – Data Platform at Microsoft

📍 Job Overview

Job Title: Cloud & AI Solution Engineer – Data Platform
Company: Microsoft
Location: Copenhagen, Capital Region of Denmark, Denmark
Job Type: Full-Time
Category: Cloud & AI Solution Engineer
Date Posted: July 21, 2025

🚀 Role Summary

📝 Enhancement Note: This role is focused on driving customer success with Microsoft's cloud database and analytics stack, requiring a strong technical background and excellent communication skills.
Empower commercial customers to modernize their data platform and realize the full value of Microsoft's platform through secure, scalable solution design and deployment.
Collaborate with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics.
Guide customers through Proof of Concepts, hackathons, and architecture workshops to drive innovation and adoption of Microsoft's cloud technologies.

💻 Primary Responsibilities

📝 Enhancement Note: The primary responsibilities revolve around customer engagement, solution design, and deployment, requiring a deep understanding of Microsoft's cloud database and analytics stack.
Solution Design & Deployment: Design and deploy secure, scalable solutions for customers, leveraging Microsoft's cloud database and analytics stack.
Customer Engagement: Collaborate with customers to understand their needs and provide tailored solutions that meet their business objectives.
Technical Advisory: Serve as a trusted technical advisor, influencing customers' technical decisions and accelerating their migration to Microsoft's cloud platform.
Collaboration: Work closely with engineering leaders and platform teams to drive innovation and accelerate the Fabric Data Platform.
Proof of Concepts & Workshops: Lead Proof of Concepts, hackathons, and architecture workshops to demonstrate the value of Microsoft's cloud technologies and drive customer adoption.

🎓 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: Proven experience (2-5 years) in a similar role, with a strong background in cloud technologies, databases, and analytics.

Required Skills:

Cloud Technologies: Proficiency in Microsoft Azure and other cloud platforms.
Databases & Analytics: Strong knowledge of database and analytics technologies, with a focus on Microsoft's cloud offerings.
Solution Design: Experience in designing and deploying secure, scalable solutions for customers.
Technical Advisory: Proven ability to influence technical decisions and drive customer adoption.
Collaboration: Excellent communication and collaboration skills, with the ability to work effectively with customers and internal teams.

Preferred Skills:

AI: Familiarity with AI and machine learning technologies, and their application to databases and analytics.
Business Acumen: Strong business acumen, with the ability to understand and address customers' business needs.
Industry Knowledge: Deep understanding of the database and analytics industry, with a focus on Microsoft's cloud offerings.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

📝 Enhancement Note: A strong portfolio demonstrating experience with Microsoft's cloud database and analytics stack, as well as successful customer engagements, is essential for this role.
Customer Success Stories: Case studies or testimonials showcasing successful customer engagements and the impact of your solutions.
Solution Design & Deployment: Examples of secure, scalable solutions designed and deployed for customers, leveraging Microsoft's cloud technologies.
Proof of Concepts & Workshops: Documentation or videos demonstrating your ability to lead Proof of Concepts, hackathons, and architecture workshops.

Technical Documentation:

📝 Enhancement Note: Clear, concise, and well-organized technical documentation is crucial for this role, demonstrating your ability to communicate complex technical concepts effectively.
Solution Design & Deployment: Detailed technical documentation outlining the design and deployment process for your solutions.
Customer Engagement: Records of customer interactions, including meeting notes, action items, and follow-up plans.
Proof of Concepts & Workshops: Documentation or scripts used during Proof of Concepts, hackathons, and architecture workshops.

💵 Compensation & Benefits

Salary Range: DKK 500,000 - 700,000 per year (Based on market research and industry standards for a mid-level cloud & AI solution engineer in Denmark)

Benefits:

📝 Enhancement Note: Microsoft offers a comprehensive benefits package, including health insurance, retirement plans, and employee stock purchase plans. Flexible work arrangements, such as remote work and flexible hours, are also available.
Health Insurance: Comprehensive medical, dental, and vision coverage for employees and their families.
Retirement Plans: 401(k) matching and employee stock purchase plans to help employees save for retirement.
Flexible Work Arrangements: Remote work and flexible hours to support work-life balance.
Professional Development: Opportunities for training, certifications, and career growth within the organization.

Working Hours: Full-time position with standard working hours (Monday-Friday, 9:00 AM - 5:00 PM CET), with flexibility for remote work and project-specific hours as needed.

🎯 Team & Company Context

🏢 Company Culture

Industry: Microsoft operates in the technology industry, with a focus on developing, manufacturing, licensing, and supporting a wide range of software products for computing devices. The company's mission is to empower every person and every organization on the planet to achieve more.

Company Size: Microsoft is a large corporation with over 180,000 employees worldwide. This size provides opportunities for career growth and exposure to diverse projects and teams.

Founded: Microsoft was founded in 1975 by Bill Gates and Paul Allen. The company has since grown to become a global leader in the technology industry, with a strong commitment to innovation and continuous learning.

Team Structure:

📝 Enhancement Note: The team for this role is part of the Cloud & AI group, focusing on Microsoft's cloud database and analytics stack. The team is expected to be collaborative, with a strong focus on customer success and innovation.
Team Size: The team is expected to be medium to large in size, with a diverse range of skills and expertise.
Specialization Areas: The team is expected to be specialized in cloud technologies, databases, and analytics, with a focus on Microsoft's offerings.
Reporting Structure: The team is expected to report to a manager or director within the Cloud & AI group, with a matrixed reporting structure to other teams as needed.

Development Methodology:

Agile/Scrum Methodologies: The team is expected to use Agile or Scrum methodologies for project management, with a focus on iterative development and customer feedback.
Code Review & Quality Assurance: The team is expected to emphasize code review, testing, and quality assurance to ensure the delivery of high-quality solutions.
Deployment Strategies: The team is expected to use deployment strategies that leverage Microsoft's cloud platform, such as Azure DevOps and Azure Pipelines, to ensure efficient and reliable deployment of solutions.

Company Website: www.microsoft.com

📈 Career & Growth Analysis

Web Technology Career Level: This role is expected to be at the mid-level within the cloud & AI solution engineering career path. The role requires a strong technical background, with a focus on customer success and solution design.

Reporting Structure: The role is expected to report to a manager or director within the Cloud & AI group, with a matrixed reporting structure to other teams as needed.

Technical Impact: The role is expected to have a significant technical impact, driving customer success with Microsoft's cloud database and analytics stack and influencing technical decisions within customer organizations.

Growth Opportunities:

📝 Enhancement Note: Microsoft offers a range of growth opportunities for employees, including career progression, skill development, and leadership roles.
Career Progression: Opportunities for career progression within the Cloud & AI group or other areas of the organization, such as management or technical leadership roles.
Skill Development: Opportunities for skill development through training, certifications, and hands-on experience with Microsoft's cloud technologies.
Technical Leadership: Opportunities for technical leadership within the organization, driving innovation and setting technical standards for Microsoft's cloud database and analytics stack.

🌐 Work Environment

Office Type: Microsoft's offices are designed to be collaborative and innovative, with a focus on employee well-being and productivity. The offices feature open workspaces, meeting rooms, and recreational areas to support teamwork and creativity.

Office Location(s): Microsoft has offices in many locations worldwide, with the specific office for this role located in Copenhagen, Denmark.

Workspace Context:

Collaborative Work Environment: The workspace is expected to be collaborative, with a strong focus on teamwork and communication.
Development Tools & Infrastructure: The workspace is expected to be equipped with the latest development tools and infrastructure, including access to Microsoft's cloud platform and relevant software development tools.
Cross-Functional Collaboration: The workspace is expected to support cross-functional collaboration with other teams within Microsoft, such as sales, marketing, and product development.

Work Schedule: The work schedule is expected to be flexible, with a focus on delivering results rather than strict hours. The role may require occasional travel to customer sites or other Microsoft offices as needed.

📄 Application & Technical Interview Process

Interview Process:

📝 Enhancement Note: The interview process is expected to be comprehensive, with a focus on assessing the candidate's technical skills, customer focus, and cultural fit.
Technical Assessment: A technical assessment or challenge to evaluate the candidate's problem-solving skills and understanding of Microsoft's cloud database and analytics stack.
Customer Engagement: A scenario-based interview or case study to assess the candidate's ability to engage with customers and design solutions that meet their business objectives.
Cultural Fit: An interview to assess the candidate's cultural fit with Microsoft's values and work environment.
Final Evaluation: A final evaluation to assess the candidate's overall fit for the role and make a hiring decision.

Portfolio Review Tips:

📝 Enhancement Note: A strong portfolio demonstrating experience with Microsoft's cloud database and analytics stack, as well as successful customer engagements, is essential for this role.
Customer Success Stories: Highlight case studies or testimonials showcasing successful customer engagements and the impact of your solutions.
Solution Design & Deployment: Showcase examples of secure, scalable solutions designed and deployed for customers, leveraging Microsoft's cloud technologies.
Proof of Concepts & Workshops: Document or video demonstrations of your ability to lead Proof of Concepts, hackathons, and architecture workshops.

Technical Challenge Preparation:

📝 Enhancement Note: Familiarize yourself with Microsoft's cloud database and analytics stack, as well as relevant customer scenarios and business challenges.
Technical Skills: Brush up on your technical skills, with a focus on cloud technologies, databases, and analytics.
Customer Engagement: Prepare for customer engagement scenarios by researching common customer challenges and developing solutions that address their business objectives.
Communication Skills: Practice your communication skills, with a focus on clearly and concisely explaining technical concepts to non-technical stakeholders.

ATS Keywords: (Organized by category)

Programming Languages: Python, SQL, PowerShell, C#, JavaScript
Cloud Technologies: Azure, AWS, Google Cloud Platform, Microsoft 365
Databases: Azure SQL Database, Azure Cosmos DB, Azure Database for PostgreSQL, Azure Database for MySQL, Azure Database for MariaDB
Analytics: Azure Synapse Analytics, Azure Databricks, Azure HDInsight, Power BI
Tools: Azure DevOps, Azure Pipelines, Visual Studio, Azure Portal, Azure CLI, Azure PowerShell
Methodologies: Agile, Scrum, Kanban, DevOps, ITIL
Soft Skills: Communication, collaboration, problem-solving, customer focus, business acumen
Industry Terms: Cloud migration, data modernization, data warehousing, big data, IoT, AI, machine learning

🛠 Technology Stack & Web Infrastructure

Cloud Technologies:

Azure: Proficiency in Microsoft Azure and its core services, such as Azure SQL Database, Azure Cosmos DB, Azure Databricks, and Azure Synapse Analytics.
AWS & Google Cloud Platform: Familiarity with other cloud platforms, such as AWS and Google Cloud Platform, is beneficial but not required.

Databases:

Azure SQL Database: Proficiency in designing, deploying, and managing Azure SQL Database solutions for customers.
Azure Cosmos DB: Familiarity with Azure Cosmos DB and its use cases, such as real-time analytics and global distribution.
Azure Database for PostgreSQL, MySQL, & MariaDB: Familiarity with these managed database services and their use cases, such as web applications and enterprise applications.

Analytics:

Azure Synapse Analytics: Proficiency in designing, deploying, and managing Azure Synapse Analytics solutions for customers.
Azure Databricks: Familiarity with Azure Databricks and its use cases, such as big data processing and machine learning.
Power BI: Familiarity with Power BI and its use cases, such as business intelligence and data visualization.

Development & DevOps Tools:

Azure DevOps: Proficiency in using Azure DevOps for project management, version control, and continuous integration/continuous deployment (CI/CD) pipelines.
Azure Pipelines: Familiarity with Azure Pipelines and its use cases, such as automated deployment and infrastructure as code (IaC).
Visual Studio: Familiarity with Visual Studio and its use cases, such as software development and debugging.

📝 Enhancement Note: The technology stack for this role is expected to be focused on Microsoft's cloud database and analytics stack, with a strong emphasis on Azure and relevant Microsoft technologies.

👥 Team Culture & Values

Web Development Values:

Customer Obsessed: A deep commitment to understanding and addressing customer needs, with a focus on driving customer success.
One Microsoft: A collaborative and inclusive work environment that values diversity and encourages teamwork.
Growth Mindset: A culture of continuous learning and improvement, with a focus on developing new skills and taking on new challenges.
One Engineering System: A commitment to consistent engineering practices and standards across the organization, with a focus on quality, reliability, and scalability.

Collaboration Style:

Cross-Functional Integration: A strong emphasis on collaboration and communication with other teams within Microsoft, such as sales, marketing, and product development.
Code Review Culture: A culture of code review and peer programming, with a focus on ensuring high-quality solutions and knowledge sharing.
Knowledge Sharing: A culture of knowledge sharing and technical mentoring, with a focus on continuous learning and skill development.

📝 Enhancement Note: The team culture for this role is expected to be collaborative, with a strong focus on customer success, innovation, and continuous learning.

⚡ Challenges & Growth Opportunities

Technical Challenges:

📝 Enhancement Note: The technical challenges for this role are expected to be diverse and complex, requiring a strong technical background and excellent problem-solving skills.
Cloud Migration: Designing and executing cloud migration strategies for customers, with a focus on minimizing downtime and maximizing performance.
Data Modernization: Modernizing customers' data platforms to leverage the latest cloud technologies and best practices.
Big Data & IoT: Designing and deploying big data and IoT solutions for customers, with a focus on real-time analytics and global distribution.
AI & Machine Learning: Incorporating AI and machine learning into customers' data platforms, with a focus on driving business value and improving user experiences.

Learning & Development Opportunities:

📝 Enhancement Note: Microsoft offers a range of learning and development opportunities for employees, with a focus on continuous learning and skill development.
Training & Certifications: Opportunities for training and certifications, such as Microsoft Certified: Azure Solutions Architect Expert and Microsoft Certified: Azure Data Engineer Associate.
Conferences & Community Involvement: Opportunities to attend industry conferences and engage with the technical community, such as Microsoft Build and Microsoft Ignite.
Technical Mentorship: Opportunities for technical mentorship, with a focus on developing new skills and taking on new challenges.

📝 Enhancement Note: The learning and development opportunities for this role are expected to be focused on Microsoft's cloud database and analytics stack, with a strong emphasis on Azure and relevant Microsoft technologies.

💡 Interview Preparation

Technical Questions:

📝 Enhancement Note: The technical questions for this role are expected to be focused on Microsoft's cloud database and analytics stack, with a strong emphasis on Azure and relevant Microsoft technologies.
Azure SQL Database: Designing, deploying, and managing Azure SQL Database solutions for customers, with a focus on performance, scalability, and security.
Azure Cosmos DB: Designing and deploying Azure Cosmos DB solutions for customers, with a focus on real-time analytics and global distribution.
Azure Synapse Analytics: Designing and deploying Azure Synapse Analytics solutions for customers, with a focus on big data processing and machine learning.
Customer Engagement: Designing and deploying customer engagement strategies, with a focus on understanding customer needs and driving customer success.

Company & Culture Questions:

📝 Enhancement Note: The company and culture questions for this role are expected to focus on Microsoft's values, work environment, and cultural fit.
Microsoft's Mission & Values: Understanding and aligning with Microsoft's mission to empower every person and every organization on the planet to achieve more, and its values of respect, integrity, and accountability.
Work Environment: Understanding and adapting to Microsoft's work environment, with a focus on collaboration, innovation, and continuous learning.
Cultural Fit: Assessing your cultural fit with Microsoft's values and work environment, with a focus on teamwork, communication, and customer focus.

Portfolio Presentation Strategy:

📝 Enhancement Note: A strong portfolio demonstrating experience with Microsoft's cloud database and analytics stack, as well as successful customer engagements, is essential for this role.
Customer Success Stories: Highlight case studies or testimonials showcasing successful customer engagements and the impact of your solutions.
Solution Design & Deployment: Showcase examples of secure, scalable solutions designed and deployed for customers, leveraging Microsoft's cloud technologies.
Proof of Concepts & Workshops: Document or video demonstrations of your ability to lead Proof of Concepts, hackathons, and architecture workshops.

📝 Enhancement Note: The interview preparation for this role is expected to be comprehensive, with a focus on assessing the candidate's technical skills, customer focus, and cultural fit.

📌 Application Steps

To apply for this cloud & AI solution engineer – data platform position at Microsoft:

📝 Enhancement Note: Follow these concrete preparation steps to optimize your application and increase your chances of success.
Application Submission: Submit your application through the application link provided in the job listing.
Portfolio Customization: Customize your portfolio to highlight your experience with Microsoft's cloud database and analytics stack, as well as successful customer engagements.
Resume Optimization: Optimize your resume for web technology roles, with a focus on project highlighting and technical skills emphasis.
Technical Interview Preparation: Prepare for the technical interview by familiarizing yourself with Microsoft's cloud database and analytics stack, as well as relevant customer scenarios and business challenges.
Company Research: Research Microsoft's company culture, values, and work environment to ensure a strong cultural fit and demonstrate your enthusiasm for the role.

📝 Enhancement Note: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to cloud & AI solution engineering roles, with a focus on Microsoft's cloud database and analytics stack.
Include cloud technologies, databases, analytics, and solution design principles relevant to the role.
Emphasize customer engagement, solution design, and deployment, with a focus on driving customer success and influencing technical decisions.
Address the unique challenges and growth opportunities of cloud & AI solution engineering, with a focus on Microsoft's cloud technologies.

Quality Standards:

Ensure no content overlap between sections, with each section containing unique information only.
Include Enhancement Notes only when making significant inferences about the role, with clear reasoning based on web technology industry standards and available information.
Be comprehensive but concise, prioritizing actionable information over descriptive text.
Strategically distribute web development and server administration-related keywords throughout all sections naturally, with a focus on Microsoft's cloud technologies.

Industry Expertise:

Include specific cloud technologies, databases, analytics, and solution design tools relevant to the role, with a focus on Microsoft's offerings.
Address the unique career progression paths and technical leadership opportunities for cloud & AI solution engineers, with a focus on Microsoft's cloud technologies.
Provide tactical advice for portfolio development, live demonstrations, and project case studies, with a focus on Microsoft's cloud technologies.
Include cloud & AI solution engineering-specific interview preparation and coding challenge guidance, with a focus on Microsoft's cloud technologies.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout, with a focus on clarity and readability.
Use cloud & AI solution engineering industry terminology appropriately and accurately, with a focus on Microsoft's cloud technologies.
Include comprehensive benefits and growth opportunities relevant to cloud & AI solution engineers, with a focus on Microsoft's offerings.
Provide actionable insights that give cloud & AI solution engineering candidates a competitive advantage, with a focus on Microsoft's cloud technologies.

Technical Focus & Portfolio Emphasis:

Emphasize cloud technologies, databases, analytics, and solution design principles, with a focus on Microsoft's cloud offerings.
Include specific portfolio requirements tailored to cloud & AI solution engineering roles, with a focus on Microsoft's cloud technologies.
Address browser compatibility, accessibility standards, and user experience design principles, with a focus on Microsoft's cloud offerings.
Focus on problem-solving methods, performance optimization, and scalable solution design, with a focus on Microsoft's cloud technologies.
Include technical presentation skills and stakeholder communication for cloud & AI solution engineering projects, with a focus on Microsoft's cloud offerings.

Avoid:

Generic business jargon not relevant to cloud & AI solution engineering roles, with a focus on Microsoft's cloud technologies.
Placeholder text or incomplete sections, with a focus on providing comprehensive and actionable information.
Repetitive content across different sections, with a focus on providing unique and valuable insights for each section.
Non-technical terminology unless relevant to the specific cloud & AI solution engineering role, with a focus on Microsoft's cloud technologies.
Marketing language unrelated to cloud & AI solution engineering roles, with a focus on Microsoft's cloud offerings.

Generate comprehensive, cloud & AI solution engineering-focused content that serves as a valuable resource for cloud & AI solution engineering candidates seeking their next opportunity and preparing for technical interviews in the cloud & AI solution engineering industry.

Cloud & AI Solution Engineer – Data Platform