Databricks
Overview
Solutions Architect - Public Sector (SLED) role at Databricks. This is a customer-facing role focused on the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. You will work with customers, your teammates, the product team, and post-sales teams to identify use cases, develop architectures and solutions using our platform, and guide customers through implementation to deliver value. You will build relationships with customers, identify champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. Responsibilities
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 proofs of concept for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present reference 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 What We Look For
5+ 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 (e.g., Spark, Hadoop, Kafka) Data Warehousing (SQL, OLTP/OLAP/DSS) [Desirable] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) US Citizen Pay Range Transparency
Databricks 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 depends on factors such as job-related skills, depth of experience, relevant certifications and training, and location. The total compensation package may include annual bonus, equity, and benefits. Local Pay Range: $161,300—$225,800 USD. About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide 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™, Delta Lake and MLflow. Benefits
Databricks offers comprehensive benefits and perks. For specific details on benefits offered in your region, please visit the regional benefits page provided by the employer. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We hire without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within the Employer’s discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.
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Solutions Architect - Public Sector (SLED) role at Databricks. This is a customer-facing role focused on the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. You will work with customers, your teammates, the product team, and post-sales teams to identify use cases, develop architectures and solutions using our platform, and guide customers through implementation to deliver value. You will build relationships with customers, identify champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. Responsibilities
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 proofs of concept for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present reference 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 What We Look For
5+ 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 (e.g., Spark, Hadoop, Kafka) Data Warehousing (SQL, OLTP/OLAP/DSS) [Desirable] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) US Citizen Pay Range Transparency
Databricks 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 depends on factors such as job-related skills, depth of experience, relevant certifications and training, and location. The total compensation package may include annual bonus, equity, and benefits. Local Pay Range: $161,300—$225,800 USD. About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide 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™, Delta Lake and MLflow. Benefits
Databricks offers comprehensive benefits and perks. For specific details on benefits offered in your region, please visit the regional benefits page provided by the employer. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We hire without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within the Employer’s discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.
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