Cloud & AI Solution Engineer – Data Platform
Cloud & AI Solution Engineer – Data Platform

Cloud & AI Solution Engineer – Data Platform

City of London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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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.

Overview

Join to apply for the Cloud & AI Solution Engineer – Data Platform role at Microsoft.

Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.

As an Innovative Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft’s cloud database and analytics stack across every stage of deployment. You’ll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. 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, all while enjoying flexible work opportunities.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

  • Support customers in designing and improving their data solutions, helping them to move to the cloud and use new technologies securely and efficiently.
  • Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
  • Take part in practical activities like workshops, demonstrations, and hackathons, gaining experience and building your technical skills.
  • Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions.
  • Contribute ideas and feedback with your team, and help solve technical challenges that matter to communities.

Qualifications

Required Qualification:

  • Proven technical pre-sales or technical consulting experience
  • OR Bachelor\\\’s Degree in Computer Science, Information Technology, or related field AND few years of technical pre-sales or technical consulting experience
  • OR equivalent experience

Preferred Qualification:

  • Experience with Microsoft Azure, databases (like SQL, PostgreSQL, or Cosmos DB), or analytics platforms (such as Microsoft Fabric or Databricks)
  • Experience on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
  • Experience on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job details

  • Seniority level: Not Applicable
  • Employment type: Full-time
  • Job function: Engineering and Information Technology
  • Industries: Software Development

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Cloud & AI Solution Engineer – Data Platform employer: Microsoft

Microsoft is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Cloud & AI Solution Engineer in a vibrant tech hub, you'll benefit from extensive professional development opportunities, competitive compensation, and a commitment to diversity and inclusion. Join us to engage with cutting-edge technologies while building meaningful relationships and driving impactful solutions in the cloud space.
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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

Technical Sales Expertise
Cloud Computing Knowledge
Hands-on Engagement Skills
Architecture Design
Relationship Building
Problem Resolution
Collaboration with Engineering Teams
Deep Knowledge of Microsoft Fabric
Proficiency in Azure Databases (SQL DB, Cosmos DB, PostgreSQL)
Experience with Data Governance (Purview)
Understanding of On-Prem EDW Solutions (Teradata, Netezza, Exadata)
Familiarity with Big Data Technologies (Hadoop)
Analytics and BI Solutions Expertise
Thought Leadership in Cloud Database & Analytics
Ability to Lead Technical Engagements (Hackathons, PoCs, MVPs)

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.

Cloud & AI Solution Engineer – Data Platform
Microsoft
Location: City of London
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  • Cloud & AI Solution Engineer – Data Platform

    City of London
    Full-Time
    43200 - 72000 £ / year (est.)
  • M

    Microsoft

    10000+
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