Data Platform Solution Engineer

Posted 4 Hours Ago
2 Locations
In-Office or Remote
106K-223K Annually
Mid level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Drive technical sales and customer adoption of Microsoft’s cloud database and analytics platforms through architecture sessions, demonstrations, proofs of concept, hackathons, and prototypes. Design secure, scalable data solutions, support migrations and modernization, resolve technical blockers, and collaborate with engineering teams. Advise business and technical decision makers on Azure databases, Fabric, Databricks, Power BI, governance, AI, and machine learning while representing Microsoft through customer forums and thought leadership.
Summary Generated by Built In
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 Data Platform Solution Engineer (SE) 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 architecture design sessions, customized demonstrations and PoCs to influence solution design and enable production deployments. 
  • Lead hands-on engagements—hackathons and rapid prototypes 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, PowerBI, Fabric Data Agents), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL. 
  • Maintain expertise in Microsoft Foundry and Azure Machine Learning.
  • Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums. 

Qualifications
Required/minimum qualifications
  • Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
    • OR 5+ years technical pre-sales or technical consulting experience
    • OR equivalent experience.
Additional or preferred qualifications
  • 6+ years technical pre-sales, technical consulting, or technology delivery, or related 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 technologies or disciplines (e.g., Office 365, Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture).
  • 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience  
    • OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience  
    • OR equivalent experience 
  • 4+ years experience with Azure cloud.  
  • Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps. 
  • Expert on Azure Analytics including data lakes, data warehousing, and reporting, (Fabric, Azure Databricks and PowerBI) and competitors (BigQuery, Redshift, Snowflake).
  • Familiar with building Agentic AI solutions using Microsoft Foundry.
  • Familiar with building Machine Learning solutions using Azure Machine Learning.
  • Proficient in SQL Syntax, PySpark, Python and C#.
  • Proven ability to lead technical engagements (e.g., Architecture Design Sessions, Rapid Prototyping, Hackathons, PoCs, MVPs) that drive production-scale outcomes. 
  • Solid presentation skills across Business Decision Makers and Technical Decision Maker audiences.

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.

Skills Required

  • Master’s degree in Computer Science, Information Technology, or a related field and 3+ years of technical pre-sales or technical consulting experience
  • Bachelor’s degree in Computer Science, Information Technology, or a related field and 4+ years of technical pre-sales or technical consulting experience
  • 5+ years of technical pre-sales or technical consulting experience, or equivalent experience
  • 6+ years of technical pre-sales, technical consulting, technology delivery, or related experience
  • 4+ years of experience with cloud and hybrid or on-premises infrastructure, architecture design, migrations, industry standards, or technology management
  • Certification in relevant technologies or disciplines, such as Office 365, Power BI, Azure Architect, Azure Development, cloud platforms, information security, or architecture
  • 4+ years of experience with Azure cloud
  • Expertise in Azure Databases, including SQL Database, Cosmos DB, and PostgreSQL
  • Expertise in Azure Analytics, including data lakes, data warehousing, reporting, Fabric, Azure Databricks, and Power BI
  • Familiarity with building agentic AI solutions using Microsoft Foundry
  • Familiarity with building machine learning solutions using Azure Machine Learning
  • Proficiency in SQL syntax, PySpark, Python, and C#
  • Ability to lead technical engagements such as architecture design sessions, rapid prototyping, hackathons, proofs of concept, and MVPs
  • Strong presentation skills with business and technical decision-maker audiences

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

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