Sr. Solutions Architect- Public Sector (SLED)

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Partner with the sales team to help customers understand how Databricks can help solve their business problems
Provide technical leadership for customers to evaluate and adopt Databricks
Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
Build and present references architectures, how-tos, and demo applications for customers
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
Travel to customers in your region
8+ years in a customer-facing pre-sales, technical architecture, or consulting role
Experience designing and architecting distributed data systems
Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
Experience supporting Public Sector clients
Have built solutions with public cloud providers such as AWS, Azure, or GCP
Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
US Citizen

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