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Digital Solution Engineer - Cloud & AI Data (UK&I Market) at Microsoft
Dublin, Leinster, Ireland -
Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Technical Sales, Cloud Technologies, AI Technologies, Data Solutions, Architecture Design, Pre-sales Experience, Technical Consulting, Data Warehousing, Big Data, Analytics, Data Security, Governance, Hadoop, BI Solutions, SQL Databases, Collaboration Skills

Industry

Software Development

Description
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. 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 and grow proficiency in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. 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. 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.
Responsibilities
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions.