Senior Solution Engineer - Cloud & AI Data Platform

Microsoft•,
•$106,400 - $272,300

About The Position

Microsoft is seeking a Senior Solution Engineer for its Innovative Data Platform team serving commercial customers. The role focuses on helping enterprises realize the value of Microsoft’s cloud database and analytics portfolio, including Microsoft Fabric, Azure Databases, and Analytics. The engineer works with engineering leaders, platform teams, and customers to support solution design and deployment through hands-on engagements such as proofs of concept, hackathons, and architecture workshops. As a trusted technical advisor, this role guides customers in designing secure, scalable solutions, influencing technical decisions, and accelerating database and analytics migrations into deployment workflows. The engineer helps customers modernize their data platforms and supports adoption of Microsoft cloud platforms. The position also involves resolving technical blockers in partnership with engineering and representing Microsoft in customer forums and technical communities.

Requirements

  • Master’s degree in Computer Science, Information Technology, or a related field and at least 3 years of technical pre-sales or technical consulting experience; or a bachelor’s degree in one of those fields and at least 4 years of such experience; or at least 5 years of such experience; or equivalent experience.
  • Must be authorized to work in the United States without current or future employer visa sponsorship.

Nice To Haves

  • At least 6 years of technical pre-sales, technical consulting, technology solutions, practice development, or architecture experience, or equivalent.
  • At least 4 years of experience in a customer-facing role, internal and/or external.
  • At least 4 years of experience with cloud, hybrid, or on-premises infrastructure, architecture designs, migrations, industry standards, and/or technology management.
  • Knowledge of data analytics technologies such as Databricks, Fabric, Cosmos DB, and Purview.
  • Knowledge of programming languages such as Python, R, and SQL.
  • Technical certification in cloud technologies, such as Azure, Amazon Web Services, Google, or security certifications.

Responsibilities

  • Drive technical sales with decision makers through demonstrations and proofs of concept to influence solution design and enable production deployments.
  • Lead hands-on engagements, including hackathons and architecture workshops, to accelerate adoption of Microsoft cloud platforms.
  • Build trusted relationships with platform leads and co-design secure, scalable architectures and solutions.
  • Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
  • Maintain deep knowledge of Microsoft Fabric, including OneLake, data warehousing, real-time intelligence, BI, and Copilot; Azure Databricks; Purview Data Governance; and Azure SQL Database, Cosmos DB, and PostgreSQL.
  • Maintain and grow knowledge of on-premises enterprise data warehouses such as Teradata, Netezza, and Exadata, as well as Hadoop and BI solutions.
  • Represent Microsoft through thought leadership in cloud database and analytics communities and customer forums.
  • Embody Microsoft’s culture and values.
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