Solutions Engineer

Overview

At Databricks, our core values drive everything we do; a culture of proactiveness and a customer‑first mindset fuels our mission to build a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers—providing a launchpad for the next generation of data leaders. You will help customers build prototypes and demos that prove what is possible with the Databricks Lakehouse platform.

In‑office, New York City (Midtown). Relocation assistance is not provided.

• Build successful relationships with customers throughout your assigned territory, providing technical and business value in collaboration with Account Executives.
• Serve as an expert in big data analytics and become a trusted advisor on architecture, design, and implementation, enabling adoption of the Databricks Lakehouse platform.
• Move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets; use AI tools to increase productivity and drive innovation.
• Scale best practices and support customers by authoring reference architectures, how‑tos, demo applications, and building the Databricks community in your region through workshops, seminars, and meet‑ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

• 2+ years of technical experience in a customer‑facing solutions engineering role.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience.
• Hands‑on builder mindset: preference for prototyping and learning‑by‑doing, comfortable using AI‑assisted development tools.
• Hands‑on experience with Python, Java, or Scala, and proficiency in SQL.
• Experience with Big Data technologies (Spark, Hadoop, Kafka) and architectures is a plus.
• Aptitude to interact with customers confidently and professionally.
• Ability to meet expectations for technical training and role‑specific outcomes within six months of hire.

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected base salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on factors such as job‑related skills, depth of experience, relevant certifications, and specific work location. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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.

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.