Job Description

Overview

Are you insatiably curious, deeply passionate about the realm of Cloud & Data solutions, and ready to tackle complex challenges in a dynamic environment? If so, we invite you to join our team as a Digital Cloud & Data Solution Engineer for mid-market customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest cloud and data technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.

Microsoft is transforming the developer experience for cloud-native and data-driven applications across the development lifecycle. With seamless integration across Azure services, we’re leading the way in enabling scalable, secure, and intelligent solutions.

As a Digital Solution Engineer (DSE) for Cloud & AI Data, you will play a pivotal role in helping UK and Ireland 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 Azure SQL and Fabric Data Platform, including Cloud & AI 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.

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.

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

• 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 proficiency in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Cloud & AI Databricks, Purview Data Governance and Cloud & AI Databases: SQL DB, Cosmos DB, PostgreSQL.
• Maintain and grow proficiency in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
• Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
• Accelerate your career growth by leading impactful engagements that help customers modernize their data platforms and adopt cutting-edge cloud and AI technologies.
• Deepen your technical proficiency through hands-on solution design, architecture workshops, and real-world deployment scenarios.
• Develop strategic influence by guiding customers through secure, scalable data solutions and shaping key technical decisions.
• Strengthen your collaboration skills by working closely with engineering teams, platform specialists, and customer stakeholders.
• Build future-ready capabilities through immersive learning, certifications, and continuous exposure to Microsoft’s evolving data and analytics ecosystem.

Qualifications

• Solid technical pre-sales or technical consulting experience
• Bachelor's or Master's Degree in Computer Science, Information Technology, or related field AND technical pre-sales or technical consulting experience 
• Proficient on Cloud & AI Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
• Proficient on Cloud & AI Analytics (Fabric, Cloud & AI 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.
• Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.

Digital Solution Engineering IC4 - The typical base pay range for this role across Ireland is € 60,300.00 - € 102,600.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:

https://careers.microsoft.com/v2/global/en/corporate-pay/ireland-corporate-pay.html

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.