Solution Engineer - Cloud & AI / Data Analytics
Issy Les Moulineaux, Hauts-de-Seine, France
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Microsoft
Entdecken Sie Microsoft-Produkte und -Dienste fĂźr Ihr Zuhause oder Ihr Unternehmen. Microsoft 365, Copilot, Teams, Xbox, Windows, Azure, Surface und mehr kaufenAre you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Data Platform forâŻcommercial customersâŻat Microsoft. Here, you'll be at the forefront of cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.Â
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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.Â
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As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoftâs cloud database and analytics stack across every stage of deployment. Youâll 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. Youâll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, youâll help customers modernize their data platform and realize the full value of Microsoftâs platform, all while enjoying flexible work opportunities.Â
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As a trusted technical advisor, youâll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, youâll help customers modernize their data platform and realize the full value of Microsoftâs platform.Â
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Microsoftâs mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, 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.
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Responsibilities
- Get Technical win for the portfolio of Cloud & AI services you are in charge of.
- Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
- Create and maintain the right tension to ensure velocity of Cloud & AI project decision, delivery & implementation by customers & partners
- Maintain CRM pipeline hygiene & forecast accuracy in your closing
- Lead hands-on engagementsâhackathons and architecture workshopsâto accelerate adoption of Microsoftâs cloud platforms.Â
- Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutionsÂ
- Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.Â
- 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.Â
- Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.Â
- Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forumsÂ
Qualifications
Required Qualifications (RQs)Â
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- 5+ years technical pre-sales or technical consulting experienceâŻÂ
- OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experienceâŻÂ
- OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experienceâŻÂ
- OR equivalent experienceÂ
- Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.Â
- Expert 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.Â
- Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.Â
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Preferred Qualifications (PQs)Â
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- 6+ years technical pre-sales, technical consulting, or technology delivery, or related experienceÂ
- OR equivalent experienceÂ
- 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology managementÂ
- Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.Â
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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.
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Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: Architecture Azure Big Data BigQuery Computer Science Consulting Copilot Cosmos DB Data Analytics Databricks Data governance Data warehouse Engineering Hadoop MVP Oracle PostgreSQL Redshift Security Snowflake SQL Teradata
Perks/benefits: Career development Medical leave
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