Join to apply for the AI - Data Solution Engineer - SME&C 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 Cloud & AI - Data Solution Engineer (SE) in Innovative Data Platform for SME&C - Small, Medium Enterprises and Channel business, here 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 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.
Responsibilities
Help customers unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment.
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.
Guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into deployment workflows.
Help customers modernize their data platform and realize the full value of Microsoft's platform.
Qualifications
Minimum required Qualifications
Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience
OR 7+ years technical pre-sales or technical consulting experience
OR equivalent experience
4+ years experience on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
2+ years experience 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.
4+ years experience leading technical engagements (e.g., hackathons, PoCs, 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.
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Data Engineer • Auckland, New Zealand