Asks for

The ad says“Direct experience in customer-facing pre-sales, technical strategy, architecture, advisory, or transformation leadership roles.”
The ad says“Strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and AI or machine learning platforms.”
The ad says“Strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and AI or machine learning platforms.”
The ad says“Direct experience in customer-facing pre-sales, technical strategy, architecture, advisory, or transformation leadership roles.”
The ad says“Experience with public cloud environments such as AWS, Azure, or Google Cloud.”
The ad says“Experience with public cloud environments such as AWS, Azure, or Google Cloud.”
The ad says“Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.”
The ad says“15+ years of experience spanning enterprise technology, consulting, and public-sector transformation.”
The ad says“Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.”
The ad says“Strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and AI or machine learning platforms.”
The ad says“Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.”
The ad says“Strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and AI or machine learning platforms.”
The ad says“15+ years of experience spanning enterprise technology, consulting, and public-sector transformation.”
The ad says“Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.”
The ad says“Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.”
The ad says“Experience with public cloud environments such as AWS, Azure, or Google Cloud.”
The ad says“Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.”
The ad says“Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.”
The ad says“Strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and AI or machine learning platforms.”
The ad says“Strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and AI or machine learning platforms.”
The ad says“Direct experience in customer-facing pre-sales, technical strategy, architecture, advisory, or transformation leadership roles.”
The ad says“Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.”
The ad says“Familiarity with public-sector procurement realities, partner-led delivery models, and the rhythm of government budget, program, and acquisition cycles.”
The ad says“15+ years of experience spanning enterprise technology, consulting, and public-sector transformation.”
The ad says“Direct experience in customer-facing pre-sales, technical strategy, architecture, advisory, or transformation leadership roles.”

FEQ327R276

Databricks is seeking a Field Chief Technology Officer (Field CTO) for the Public Sector business to serve as a senior, customer-facing technology and mission transformation leader for strategic government and education accounts. This individual-contributor role sits at the intersection of data and AI strategy, mission modernization, public-sector operating models, and executive relationship building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks. The role will focus on helping agencies, departments, and public institutions use the Databricks Data Intelligence Platform to modernize data estates, strengthen security, improve operations, and deploy AI responsibly in support of mission outcomes.

Impact you will have:

Build and maintain trusted-advisor relationships with C-level and mission leadership across public-sector accounts, including CIOs, CTOs, CDOs, CISOs, program executives, mission owners, and transformation leaders.
Shape executive thinking on secure data and AI modernization, emphasizing lakehouse and data platform modernization as a foundation for analytics, governance, and generative AI in public-sector environments.
Lead executive briefings, strategy sessions, and mission workshops that connect agency priorities, regulatory obligations, security requirements, budget realities, and workforce constraints to practical Databricks-based roadmaps.
Serve as a deep technical counterpart in the field with strong working knowledge of Databricks products (L200-L300 proficiency) and the ability to credibly engage architects, engineers, analysts, data scientists, and security stakeholders on design trade-offs.
Translate recurring customer needs into reusable public-sector reference architectures, solution blueprints, technical narratives, and thought leadership assets.
Partner with Account Executives, Solutions Architects, product specialists, professional services, and ecosystem partners to drive complex, multi-year platform decisions, expansions, and mission programs.
Provide structured feedback from strategic public-sector customers into Product, Engineering, and Field leadership, especially around governance, security, compliance, interoperability, and public-sector feature requirements
Mentor senior field engineering talent and help codify playbooks for complex public-sector engagements, including executive discovery, mission-value framing, partner orchestration, and secure deployment patterns.
Represent Databricks externally with senior public-sector audiences through conferences, councils, roundtables, webinars, and executive forums.

What we look for:

15+ years of experience spanning enterprise technology, consulting, and public-sector transformation.
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.
Direct experience in customer-facing pre-sales, technical strategy, architecture, advisory, or transformation leadership roles.
Strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and AI or machine learning platforms.
Experience with public cloud environments such as AWS, Azure, or Google Cloud.
Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.
Familiarity with public-sector procurement realities, partner-led delivery models, and the rhythm of government budget, program, and acquisition cycles.
U.S. citizenship required and active clearance preferred

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.

Local Pay Range

$264,000—$363,000 USD

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.

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.