U.S. Citizenship (required due to Public Sector client support)
7+ years of successful experience in a customer-facing role
Proven delivery experience in SaaS Technologies, particularly in the areas of Data Analytics, Data Warehousing, Data Engineering, ETL, Machine Learning, AI or Data Science
Experience building and leading technical post-sales teams - hiring, on-boarding, and enabling post-sales professionals
Trusted advisor to technical executives that guide strategic data project delivery decisions
Lead a team through best practices for architecture discussions, use case Go-Lives, creating project and execution plans and customer growth strategy
Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners
Experience in delivery and deployment of workloads or data products into production, e.g. in a delivery architect, project manager, devops, or service/product owner role
Conversant with business issues our customers face today and likely big data use cases in different industries
Travel up to 30% around the D.C. Metro area
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 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 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.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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 click here.
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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.
About Databricks
Technology1,001-5,000Founded 2013
Unified data analytics and AI platform built on Apache Spark