Databricks

Field CTO - Public Sector

Maryland; Virginia; Washington, D.C · Exec

No sponsorship$264k-$363kDetected 4 days ago

DatabricksAWSAzureCloud PlatformsMachine LearningSparkData EngineeringLLMsLogisticsProcurementLeadership

About the role

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.
Based on the factors above, Databricks anticipates utilizing the full width of the range.
For more information regarding which range your location is in visit our page here.

Familiarity with public-sector procurement realities, partner-led delivery models, and the rhythm of government budget, program, and acquisition cycles.

15+ years of experience spanning enterprise technology, consulting, and public-sector transformation.
Experience with public cloud environments such as AWS, Azure, or Google Cloud.
U.S. citizenship required and active clearance preferred

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.
The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
Local Pay Range
$264,000 - $363,000 USD

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.
Significant experience working in or with U.S. public-sector institutions, such as federal civilian agencies, defense organizations, intelligence-related environments, state and local government, or education.
Strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and AI or machine learning platforms.

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

This listing is sourced directly from Databricks's careers page and normalized into a canonical job model.