Sr. Solutions Architect - Public Sector (DoD/IC)

FEQ425R142While candidates in the listed locations are encouraged for this role, candidates in Virginia, Maryland, and nearby states willing to travel to the DC area for meetings will be considered as well.MissionSolutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a Federal team, we support multiple cabinet level US Federal agencies. 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 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 references architectures, how-tos, and demo applications for customersBecome an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinarsTravel to customers in your regionWhat we look for:8+ 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 Sector, Defense, or Intelligence clientsHave built solutions with public cloud providers such as AWS, Azure, or GCPData 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)[Desired] Clearance (Secret, Top Secret)US CitizenBenefitsComprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundWork headphones reimbursementEmployee Assistance Program (EAP)Business travel accident insurancePay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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

$169,000

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$299,000 USD

About DatabricksDatabricks 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. To learn more, follow Databricks on

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.Our Commitment to Diversity and InclusionAt 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.ComplianceIf 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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