Join to apply for the Solution Engineer role at Microsoft Are 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 Innovative Data Platform for enterprise customers at Microsoft.
Here, you'll be at the forefront of innovation, working on 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.
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers.
It includes a rich portfolio of products including Iaa S and Paa S 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 a 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.
Responsibilities Drive technical sales with decision makers using demos and Po Cs 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 expertise in the Analytics Portfolio: Microsoft Fabric (One Lake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance, and Azure Databases: SQL DB, Cosmos DB, Postgre SQL.
Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums.
Qualifications 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.
Expert on Azure Databases (SQL DB, Cosmos DB, Postgre SQL) from migration & modernize and creating new AI apps.
Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (Big Query, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting using integrated Data Security & Governance.
Proven ability to lead technical engagements (e.g., hackathons, Po Cs, MVPs) that drive production-scale outcomes.
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.
