Databricks
Sr. Solutions Architect - Public Sector (Federal Civilian)
Databricks, Virginia, Minnesota, United States, 55792
Sr. Solutions Architect - Public Sector (Federal Civilian)
Washington, VA
Mission
Solutions Architects 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 Field Engineering Manager for the team.
The Impact You Will Have
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 third‑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
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 (e.g., Spark, Hadoop, Kafka)
Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
US Citizen
Pay Range Transparency Local Pay Range: $196,200—$274,650 USD
About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — 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 At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit
https://www.mybenefitsnow.com/databricks .
Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered 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 Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Mission
Solutions Architects 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 Field Engineering Manager for the team.
The Impact You Will Have
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 third‑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
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 (e.g., Spark, Hadoop, Kafka)
Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
US Citizen
Pay Range Transparency Local Pay Range: $196,200—$274,650 USD
About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — 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 At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit
https://www.mybenefitsnow.com/databricks .
Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered 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 Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
#J-18808-Ljbffr