Named Core Account Executive, DNB FinTech
Quick Summary
SLSQ327R452 As a Named Core Account Executive in Databricks Brazil, you are an enterprise sales professional experienced in selling to large accounts in the DNB space, specifically within FinTech.
SLSQ327R452
As a Named Core Account Executive in Databricks Brazil, you are an enterprise sales professional experienced in selling to large accounts in the DNB space, specifically within FinTech. You know how to sell innovation and change by expanding customer vision 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 close new accounts while increasing Databricks consumption in existing accounts. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.
You will report to the Director of Enterprise Sales.
The impact you will have:
- Present a territory plan within first 90 days
- Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
- Close both new accounts and existing accounts
- 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 customers
- Promote Databricks' enterprise cloud data platform powered by Apache Spark
- Ensure 100% satisfaction among all customers
- Prioritize opportunities and applying 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
- You have field sales experience within big data, Cloud, and PaaS sales
- You have prior customer relationships with CIOs, program managers, and relevant decision makers
- You can simply articulate intricate cloud technologies
- You have at least 5+ years of Enterprise Sales experience, exceeding quotas and covering relevant accounts and industries
- You have proven success in closing new accounts while growing consumption accounts
- You have a strong understanding of Spark, Data, and AI
- You have a Bachelor's Degree from a credible university
Databricks 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 Twitter, LinkedIn and Facebook.
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.
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.
Location & Eligibility
Listing Details
- Posted
- June 22, 2026
- First seen
- June 22, 2026
- Last seen
- June 23, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- June 22, 2026
Signal breakdown

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.
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