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Sr. Solutions Engineer

Databricks•United States
Full-timeSenior
👁️ 0 views•📝 0 applications•Posted 7/20/2026•Expires 10/15/2026
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Job Description

REQ ID FEQ327R527 As a Sr. Solutions Engineer at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager. The impact you will have: ● You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform. ● Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning. ● You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases. ● Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications. ● Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars. </div

Required Skills

Advanced ExcelAWSAzureData ScienceData WarehousingETLExcelGCPHadoopJavaKafkaLeadershipMachine LearningPandasPresalesPythonSparkSQL

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