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For Companies At a Glance
- Tasks: Drive technical sales and lead hands-on engagements to boost cloud platform adoption.
- Company: Join Microsoft, a global leader in technology and innovation.
- Benefits: Enjoy flexible work options, competitive pay, and unique corporate perks.
- Why this job: Be part of a dynamic team shaping the future of cloud and AI solutions.
- Qualifications: Technical pre-sales experience or relevant degree with some experience required.
- Other info: Microsoft values diversity and offers equal opportunities for all applicants.
The predicted salary is between 43200 - 72000 £ per year.
Responsibilities
- Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
- Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.
- Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions.
- Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
- Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance, and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
- Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
- Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums.
Qualifications
- Proven technical pre-sales or technical consulting experience.
- OR Bachelor\’s Degree in Computer Science, Information Technology, or related field AND a few years of technical pre-sales or technical consulting experience.
- OR Master\’s Degree in Computer Science, Information Technology, or related field AND a couple of years of technical pre-sales or technical consulting experience.
- OR equivalent experience.
- Expertise in Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernization and creating new AI applications.
- Expertise in Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting with integrated Data Security & Governance.
- Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
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. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via 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.
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Cloud & AI Solution Engineer – Data Platform employer: Microsoft
Contact Detail:
Microsoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud & AI Solution Engineer – Data Platform
✨Tip Number 1
Familiarise yourself with Microsoft’s cloud platforms, especially Azure Databases and Analytics. Understanding the nuances of products like SQL DB, Cosmos DB, and Azure Databricks will help you engage more effectively during interviews.
✨Tip Number 2
Showcase your experience in leading technical engagements such as hackathons or PoCs. Be prepared to discuss specific examples where you've driven production-scale outcomes, as this will demonstrate your hands-on expertise.
✨Tip Number 3
Build a network within the cloud and analytics communities. Engaging with thought leaders and participating in forums can provide insights and connections that may be beneficial during the hiring process.
✨Tip Number 4
Stay updated on the latest trends in data governance and security. Being knowledgeable about integrated Data Security & Governance will set you apart and show your commitment to the field.
We think you need these skills to ace Cloud & AI Solution Engineer – Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in technical pre-sales or consulting, especially with Azure Databases and Analytics. Use specific examples that demonstrate your ability to lead technical engagements and resolve blockers.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cloud technologies and how your background aligns with the responsibilities of the Cloud & AI Solution Engineer role. Mention any hands-on experiences like hackathons or workshops you've led.
Showcase Technical Expertise: Clearly outline your expertise in Microsoft’s Analytics Portfolio and Azure Databases. Include any certifications or projects that showcase your skills in data migration, modernization, and AI applications.
Prepare for Interviews: Anticipate questions related to your technical knowledge and past experiences. Be ready to discuss how you would approach demos, PoCs, and building relationships with decision-makers in a sales context.
How to prepare for a job interview at Microsoft
✨Showcase Your Technical Expertise
Make sure to highlight your experience with Azure Databases and Analytics during the interview. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to drive technical sales and lead engagements.
✨Prepare for Hands-On Scenarios
Since the role involves leading hackathons and architecture workshops, be ready to engage in practical scenarios during the interview. Think of examples where you've led similar sessions and how you facilitated collaboration and problem-solving among participants.
✨Build Relationships
Emphasise your ability to build trusted relationships with stakeholders. Share examples of how you've co-designed solutions with platform leads or resolved technical blockers, showcasing your collaborative approach and communication skills.
✨Stay Updated on Industry Trends
Demonstrate your thought leadership by discussing current trends in cloud databases and analytics. Being knowledgeable about competitors like BigQuery and Snowflake, as well as Microsoft’s offerings, will show that you're not only technically proficient but also aware of the broader market landscape.
