Microsoft
Cloud & AI Solution Engineer – Data Platform
Microsoft - Oklahoma City, Oklahoma, United States
Work at Microsoft
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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 the Innovative Data Platform for commercial 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 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. As an
Innovative 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. 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, innovate to 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 Drive technical sales with decision makers using demos and PoCs 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 Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance, and Azure Databases: SQL DB, Cosmos DB, PostgreSQL. Maintain and grow expertise in on-premises EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums. Other Embody our culture and values Qualifications Required/Minimum Qualifications: 3+ years of technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years of technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 1+ year of technical pre-sales or technical consulting experience OR equivalent experience Expertise in Azure Databases (SQL DB, Cosmos DB, PostgreSQL), including migration, modernization, and creating new AI applications. Expertise in Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, 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, PoCs, MVPs) that drive production-scale outcomes. Additional or Preferred Qualifications: 4+ years of technical pre-sales, consulting, or related experience 2+ years experience with cloud and hybrid/on-premises infrastructure, architecture designs, migrations, industry standards, and/or technology management Proficient in data warehouse & big data migration including on-premises appliances (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks), and Azure Synapse Gen2. Solution Engineer Cloud & AI Data: IC3 - The typical base pay range for this role across the U.S. is USD $85,100 - $169,800 per year. Specific locations like San Francisco Bay Area and New York City have different ranges, USD $112,000 - $185,300. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: Microsoft Careers. Microsoft will accept applications and process offers on an ongoing basis. #MCAPSA #MCAPS-FY26H1Azure Microsoft is an equal opportunity employer. Consideration will be given to all qualified applicants regardless of age, ethnicity, gender, disability, veteran status, or other protected characteristics. For accommodations during the application process, read more about requesting accommodations.
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Cloud & AI Solution Engineer
in the Innovative Data Platform for commercial 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 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. As an
Innovative 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. 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, innovate to 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 Drive technical sales with decision makers using demos and PoCs 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 Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance, and Azure Databases: SQL DB, Cosmos DB, PostgreSQL. Maintain and grow expertise in on-premises EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums. Other Embody our culture and values Qualifications Required/Minimum Qualifications: 3+ years of technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years of technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 1+ year of technical pre-sales or technical consulting experience OR equivalent experience Expertise in Azure Databases (SQL DB, Cosmos DB, PostgreSQL), including migration, modernization, and creating new AI applications. Expertise in Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, 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, PoCs, MVPs) that drive production-scale outcomes. Additional or Preferred Qualifications: 4+ years of technical pre-sales, consulting, or related experience 2+ years experience with cloud and hybrid/on-premises infrastructure, architecture designs, migrations, industry standards, and/or technology management Proficient in data warehouse & big data migration including on-premises appliances (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks), and Azure Synapse Gen2. Solution Engineer Cloud & AI Data: IC3 - The typical base pay range for this role across the U.S. is USD $85,100 - $169,800 per year. Specific locations like San Francisco Bay Area and New York City have different ranges, USD $112,000 - $185,300. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: Microsoft Careers. Microsoft will accept applications and process offers on an ongoing basis. #MCAPSA #MCAPS-FY26H1Azure Microsoft is an equal opportunity employer. Consideration will be given to all qualified applicants regardless of age, ethnicity, gender, disability, veteran status, or other protected characteristics. For accommodations during the application process, read more about requesting accommodations.
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