Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Enterprise Account Executive, Federal Financials
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The role, at a glance.
Databricks is seeking an Enterprise Account Executive to grow a dedicated Federal Financials client within the US Federal Civilian market. The role combines strategic account expansion, solution-led cloud and data-platform selling, executive stakeholder engagement, and management of complex sales cycles. The successful candidate will build pipeline, maintain detailed Salesforce forecasts, coordinate internal resources, and exceed revenue targets. Strong experience selling SaaS, cloud, big data, or AI solutions to large federal accounts is central to the position.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
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Sample interview questions
I would begin by mapping the agency mission, modernization priorities, existing data estate, procurement path, and key technical and business stakeholders. I would align high-value use cases to measurable outcomes, establish executive sponsors, identify system-integrator partners, and build a mutual action plan with clear technical, commercial, and security milestones.
I shortened cycles by confirming the decision process early, documenting compelling business outcomes, and creating consensus across economic, technical, and user buyers. I also used focused workshops, proof-of-value plans, executive alignment, and weekly mutual action-plan reviews to resolve risks before they delayed procurement.
I avoid product-first language and start with the executive's operational and mission objectives. I translate capabilities into outcomes such as faster analytics, improved governance, reduced platform fragmentation, and better decision-making, then support the story with relevant customer evidence and a clear path to value.
I record the customer use case, stakeholders, qualification status, estimated value, close plan, procurement dependencies, competition, next meeting, and mutually agreed next steps. My forecast reflects verified buyer actions and stage-exit criteria rather than optimism, and I update risks immediately as deal conditions change.
I would pursue smaller, well-qualified use cases that demonstrate value quickly while maintaining a multithreaded plan for larger strategic initiatives. Early wins create customer advocates and proof points, which I would use to expand into adjacent teams, workloads, and executive priorities without losing focus on the broader account vision.
About this role.
SLSQ128R10
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
As an Enterprise Account Executive at Databricks, you are a seasoned sales professional experienced in selling into Federal Financials accounts within the Federal Civilian space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to maintain and grow accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.
Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.
Reporting to our Sr. Director of Enterprise Sales, you will map to a dedicated enterprise client under the Federal Financials umbrella. You will come with an informed point of view on Big Data, Advanced Analytics, and AI, which will help to guide your successful execution strategy and allow you to provide genuine value to the client
The impact you will have:
- Meet with the CIO, IT executives, LOB executives, Program Managers, and other important partners
- Identify and close quick, small wins while managing longer, complex sales cycles
- Exceed activity, pipeline, and revenue targets
- Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
- Use a solution-based approach to selling and creating value for your customer
- Promote Databricks’ enterprise cloud data platform powered by Apache Spark™
- Ensure 100% satisfaction among your customer
- Prioritize opportunities and apply appropriate resources
- Build a plan for success internally at Databricks and externally with your accounts
What we look for:
- You have previously worked in an early-stage company, and you know how to navigate and be successful
- Field sales experience within big data, Cloud, or SaaS sales
- Experience managing large, complex Federal Financials accounts is preferred.
- Prior customer relationships with CIOs, program managers, and essential decision makers
- Simply articulate intricate cloud technologies
- 5+ years of experience exceeding sales quotas
- Success working with and growing existing accounts
- Understanding of Spark and big data preferable
- Passion for cloud technologies
- Bachelor’s Degree
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.
Zone 2 Pay Range
$272,000—$374,000 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.
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