Customer Success Engineer (Data Engineering/Data Science)


  • Full Time

Customer Success Engineers at Databricks help companies unlock the potential of their data. Our team's mission is to expand the use of Databricks through customer enablement and to accelerate our customers' time to get value from their Databricks implementation. You will contribute to technical discussions with data scientists, engineers, and BI analysts, share best practices, offer advice on new use cases and also demonstrate the value of Databricks in business discussions with customer executives. You will report to the Manager of Customer Success Engineering.

The impact you will have:

  • You will manage the customer lifecycle and success plan for an assigned number of accounts, while partnering with teams such as Sales, Field Engineering, Product, Support, and Marketing.
  • You will build relationships with each customer, and find areas where Databricks can provide the most value, through activities such as new customer onboarding, use case discovery, business reviews, product feature demos, and regular status calls.
  • Achieve targets on renewal rates and expansion on assigned accounts.
  • Engage with the product team to guide customer requests and establish our roadmap.
  • Work with the technical support team and other core Databricks teams to ensure that customer requests and escalations are resolved.
  • Become an expert in Databricks products and its open-source ecosystem! Customers will look to you for advice and expertise.

What we look for:

  • 4 -10 years of experience working in customer-facing technical roles (in Customer Success, Consulting or related discipline)
  • Experience of Python, or SQL programming
  • Familiarity with the end-to-end data analytics workflow and cloud architectures
  • Experience with databases, data warehousing, or data science
  • Problem solving skills that apply to a big data environment
  • Experience managing customer challenges through to resolution
  • Bachelor's degree in a quantitative discipline (Computer Science, Applied Mathematics, Engineering)
  • 20% to 30% Travel may be involved depending on customer needs and location


  • Private medical insurance
  • Accident coverage
  • Employee's Provident Fund
  • Equity awards
  • Paid parental leave
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Business travel insurance


About Databricks

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

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.

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