Sr Digital Solution Engineer - Cloud & AI Data

Microsoft
New York, NY, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$106,400 - $203,600
Working hours
Regular working hours

Tech stack

Artificial Intelligence Business Analytics Applications Data Analysis Microsoft Azure Big Data BigQuery Cloud Computing Cloud Database Cyber Security Databases Data Infrastructure Extract Transform Load (ETL)
+28 more
Data Security Data Warehousing Oracle Exadata Apache Hadoop PostgreSQL Microsoft Office Microsoft Software SQL Azure Oracle (Applications) Rapid Prototyping Process Power BI Cloudera Software Deployment Software Engineering SQL Databases Teradata SQL Cloud Platform System Netezza Delivery Pipeline Snowflake Agentic-AI Microsoft Fabric Data Lakes Information Technology Cosmos DB Azure Synapse Analytics Amazon Redshift Databricks

Job description

Microsoft Elevate is Microsofts dedicated organization for advancing Education, Nonprofit, Workforce Development, and AI-for-Good outcomes globally. We bring together commercial expertise, technology innovation, partner ecosystems, skilling programs, policy engagement, and philanthropy to help organizations and communities accelerate impact in an AI-powered world. Through our people-first approach, Elevate works to ensure technology creates inclusive economic opportunity- ensuring that artificial intelligence enhances human potential rather than replacing it.

Role Summary

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 Agentic AI? If so, we invite you to join our team as a Cloud & AI Data Solution Engineer for education customers at Microsoft Elevate.

In this technical sales role, youll 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.

Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. These technologies empower customers to build, deploy, and manage database and analytics solutions in the age of Frontier AI.

As a Cloud & AI Data Solution Engineer, 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 will work directly with technical and business stakeholders to design secure, scalable, and resilient database and analytics architectures that support business-critical applications and Frontier AI transformation. As a trusted technical advisor, you’ll guide customers and win their technical decisions on Azure for their database and analytics deployment.

You bring deep expertise in database and analytics workloads-including Microsoft Fabric, Azure Databricks, and Azure Databases SQL DB, Cosmos DB, DocumentDB, PostgreSQL while exploring how Agentic AI can accelerate Frontier transformation.

As you join the team, you will have the opportunity to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. In summary, you’ll help customers modernize their database and analytics platforms to realize the full value of Microsoft’s platform, all while enjoying flexible work opportunities.

As a trusted technical advisor, 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.

Microsoft’s 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.

Responsibilities

  • Lead Databases & Analytics customer engagements.
  • Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
  • Drive technical workshop using live demos, co-create with customers whiteboarding & architecture, rapid prototyping, hands-on proofs of concept & pilots to resolve technical blockers.
  • Prove technical solutions, co-create or re-use existing architecture to influence solution design and enable customer commitment for deployments.
  • Maintain deep expertise in Analytics Portfolio: Microsoft Fabric including OneLake, Azure Databricks, and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
  • Deepen knowledge of on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.

Requirements

Artificial Intelligence (AI), Software Engineering, Cloud Computing, Microsoft Product Family, Ecosystems, Nonprofit, Artificial Intelligence (AI), Human Intelligence (HUMINT), Cloud Computing, Software Engineering, * Bachelors Degree in Computer Science, Information Technology, Engineering or related field AND 4+ years technical pre-sales or technical consulting experience OR equivalent experience., * Bachelors Degree in Computer Science, Information Technology, Engineering or related field AND 8+ years technical pre-sales or technical consulting experience OR equivalent experience.

  • 4+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
  • Certification in relevant (Microsoft or industry) technologies or disciplines (e.g., Microsoft Office 365; Power BI; Azure Administrator, Architecture, and Development exams; Cloud Platform Technologies; Information Security; Architecture).
  • Expert on Azure Databases (SQL DB, Cosmos DB, DocumentDB, PostgreSQL) for migration & modernization.
  • Expert on Microsoft Fabric including OneLake, Azure Databricks 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., prototyping, pilot, PoCs) that drive production-scale outcomes.
  • Familiarity with database technologies (ETL, DW, Reporting)
  • Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.

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