Sr. Solutions Engineer - Public Sector

will havePartner with the sales team to help customers understand how Databricks can help solve their business problemsProvide technical leadership for customers to evaluate and adopt DatabricksConsult 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 applicationsBuild and present reference architectures, how-to's, and demo applications for customersBecome an expert in, and promote Databricks inspired open-source projects (Apache Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinarsTravel to customers in your regionWhat we look for5+ years in a customer-facing pre-sales, technical architecture, or consulting roleExperience designing and architecting distributed data systemsComfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or RExperience supporting Public, team.The impact you will havePartner with the sales team to help customers understand how Databricks can help solve their business problemsProvide technical leadership for customers to evaluate and adopt DatabricksConsult 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 applicationsBuild and present reference architectures, how-to's, and demo applications for customersBecome an expert in, and promote Databricks inspired open-source projects (Apache Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinarsTravel to customers in your regionWhat we look for5+ years in a customer-facing pre-sales, technical architecture, or consulting roleExperience designing and architecting distributed data systemsComfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL

Sector clientsHave built solutions with public cloud providers such as AWS, Azure, or GCPExpertise in at least one of the following:Data Engineering technologies (Ex: Spark, Hadoop, Kafka)Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)Secret security clearance or willingness to obtain onePay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks, or RExperience supporting Public Sector clientsHave built solutions with public cloud providers such as AWS, Azure, or GCPExpertise in at least one of the following:Data Engineering technologies (Ex: Spark, Hadoop, Kafka)Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)Secret security clearance or willingness to obtain onePay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

FEQ427R313While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team.The impact you, anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in, visit our page here.Local Pay Range: $152,300 - $209,450 USDAbout DatabricksDatabricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, CondéNast, Grammarly, and over 50% of the Fortune500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the, FEQ427R313While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the, Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in, visit our page here.Local Pay Range: $152,300 - $209,450 USDAbout DatabricksDatabricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, CondéNast, Grammarly, and over 50% of the Fortune500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our