
Solution Engineer - Cloud & AI Data Platform
United StatesJob$86–204K/yrSeen 3mo agoStill listed 3 days ago
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Job overview
The Solution Engineer helps commercial customers modernize data platforms and adopt Microsoft’s cloud database and analytics stack. The role partners with engineering leaders and platform teams through proofs of concept, hackathons, and architecture workshops, guiding secure and scalable solution design and deployment. It also supports migration and production adoption, resolves technical blockers with engineering, and represents Microsoft in customer and industry communities.
Skills & qualifications
Skills
Qualifications
Full job description
Overview 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 Solution Engineer - Cloud & AI Data Platform in 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 Solution Engineer - Cloud & AI Data Platform, 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 knowledge 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 knowledge in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
- Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums.
- Embody our culture and values
Qualifications Required Qualifications:
- 3+ years technical pre-sales or technical consulting experience, OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical pre-sales or technical consulting experience OR equivalent experience
Other Requirements:
- This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
Preferred Qualifications:
- 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience
- 3+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
- Experience in data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2
Solution Engineering IC3 - The typical base pay range for this role across the U.S. is USD $86,100 - $169,800 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 $113,300 - $187,400 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
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.
How this job compares
Set against the 635 open Solution Engineer jobs on Olive Jobs, counted November 8, 2026.
- Pay
- This posting$86–204K/yr
- US median$113–194K/yr509 salary ranges
This range's midpoint, $145K, is 7% below the US median midpoint ($155K) — in the middle half of Solution Engineer salary ranges across the US.
- Openings
- Olive Jobs lists 635 open Solution Engineer jobs across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most across the US
- Oracle333 open
- Lumen48 open
- Salesforce38 open
- Experience
- This posting asks for at least 1 year of experience — less than three in four Solution Engineer postings that state a minimum ask for (median 7 years, across 457 postings).
- Education
- 95 of the 635 open Solution Engineer jobs (15%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 8, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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