Microsoft SMC Digital Native Startups ISV DS & 

Ireland, Dublin 

131481364

like a startup with an entrepreneurial, high-performance mindset, but remain grounded in our shared cultural priorities: Diversity and Inclusivity, Wellbeing, Sustainability, and Learning.

Technology Specialists(and use our technology. Thestartups and ISVsat a technical level,and develop your deep technicalDigital Sales Centeronsite only.You must be available toto the Dublin sales centers.

• Demonstrated technical pre-sales or technical consulting experienceORbachelor’s degree in computer science, Information Technology, or related field AND technical pre-sales or technical consulting experienceORmaster's degree in computer science, Information Technology

• with cloud and hybrid, or on premises database infrastructures, architecture designs, migrations, industry standards, and/or technology management.

• optimalsolution for the customer needs

• Demonstratable experience with cloud and hybrid, or on premises database infrastructures, architecture designs, migrations, industry standards, and/or technology management.

• Proof of Concepts: Experience creating Database, Analytics, and AI Proof of Concepts (PoC)/Pilots for customers ​that lead to production deployments.
• Fluent French and English required

/ Preferred Qualifications

• Experience with Digital Natives, Startups, and ISVs

• Certification in relevant technologies or disciplines

• Azure Certifications:Azure Administrator Associate (AZ-104),Designing Microsoft Azure Infrastructure Solutions (AZ-305),Azure Data Engineer Associate (DP 203) ororAzure AI Engineer Associate (AI-102) or Enterprise Data Analyst Associate (DP 600) or Azure Cosmos DB Developer Specialty (DP 420) or Fabric Analytics Engineering Associate (DP- 600).

• Deep domain knowledge in Databases, Analytics, and AI:

• Knowledge of Database platforms such as AWS, GCP, Mongo DB, and Oracle.

• of Intelligent Data and Analytics platforms such as Snowflake, Databricks, AWS (Redshift), GCP Big query, Teradata, Netezza, Exadata, Apache Spark, Tableau, Qlik, Looker, etc. including financial performance, key messaging, and roadmap. Knowledge of AI platforms (AWS, Google, IBM, and Oracle) Certifications: Google Cloud Professional ML Engineer, AWS Certified Machine Learning, or IBM certified Data Science professional.

• Understands DatabasePlatforms:

• .3+ years of hands-on programming experience (Scala, Python, SQL etc.)

• Proactively own technical discussions withStartups & ISVsleveragingprocesses and tools, demos, and programs using consultative salesmethodologyand technicalexpertiseto influence the Startup/ISV vision;establish

• Proactively build technical strategy: map the agreedStartup/ISVvision into a strategy, resolve concerns, preventing and removing technical blockers andvalidatinga strong business case for investment and translated technology complexity into business impact.
• Work withStartup & ISVs

• Design the solution using your technical knowledge, architectural approach, consultancy skills and ourmethodologyto win aStartup/ISVtechnical decision and meettheirneeds; drive POCs/Pilots to create momentum for MVPs, infusing key AI technologies whereappropriateand being technically proficient to do POC with hands-on-skills.

• Support the creation ofnewpipeline in collaboration with the Specialist and account team byidentifyingnew opportunities within customer engagement andhandoff to theDigital Native AEfor pursuit.

• Be the Trusted advisor and use proactive effort to find and understandthe Startup/ISV’spain points and work with partners to design and offer solutions (with business case) to technical leaders by being a Microsoft Intelligent Data and Analytics platform evangelist inclusive of new Data and Analytics projects, modernizing legacy Data Warehouse to the cloud, new Modern Data Warehousing deployments, real-time analytics, and end to end Data, Analytics and AI solutions.

• Be the Voice of Customer to share insights and best practices with Engineering, to remove key blockers and drive product improvements.

• Maintain and grow expertise in Database scenarios including Cosmos DB, SQL DB, PostgreSQL and in Analytics, Data warehousing, Data Engineering, Data Science including Intelligent Data and Analytics Platform (Azure SQL DW, Lakehouse architecture, Fabric, Azure Databricks, Power BI), and relevant AI technologies while keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community.