Location not stated
Actively hiring, first seen by us todayProficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2. Digital Solution Engineering IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-payRead the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
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?
In this technical sales role, you'll be at the forefront of cutting-edge projects that leverage the latest technologies to drive meaningful impact.
Lead Databases & Analytics customer engagements.
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Maintain deep expertise in Analytics Portfolio: Microsoft Fabric including OneLake, Azure Databricks, and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
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, 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.
Responsibilities Lead Databases & Analytics customer engagements. Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
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.
Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND 4+ years technical pre-sales or technical consulting experience OR equivalent experience.
Bachelor's 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.
Proven ability to lead technical engagements (e.g., prototyping, pilot, PoCs) that drive production-scale outcomes.
Familiarity with database technologies (ETL, DW, Reporting)
Required Qualifications - Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND 4+ years technical pre-sales or technical consulting experience OR equivalent experience. Preferred Qualifications
Preferred Qualifications - Bachelor's 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.
Microsoft Elevate is Microsoft's dedicated organization for advancing Education, Nonprofit, Workforce Development, and AI-for-Good outcomes globally.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
At Microsoft, jobs usually come down by about day 12.
From 11,327 similar postings that came down, and 183 of Microsoft’s. Coming down is not always a hire.
51 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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.
- 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.
- 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.
In this technical sales role, 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. 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.
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.
- 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 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. Digital Solution Engineering IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
- 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. Qualifications
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About Microsoft Elevate
Microsoft Elevate is Microsoft's 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, 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.
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.
Required Qualifications
Preferred Qualifications
Digital Solution Engineering IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2. Digital Solution Engineering IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Location not supplied.
- Bachelor's 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).
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.