Solutions Engineer
Databricks · New York City, New York · Field Engineering - FE Direct Regulated · listed October 14, 2026
The shape of it
Seniority
Mid level
Experience asked
2+ years
Where
On site
Requirements listed
7
Length
764 words
In the posting’s own words
At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes AI and data analytics accessible to everyone in their own context. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders . We aim to build leaders who will drive both data and business strategy for our customers, leading the front lines of Databricks growth as well.
What it asks for · 7
- The ideal candidate has 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 through work experience
- Demonstrates a builder mindset: preference for hands-on prototyping and learning-by-doing, with comfort using AI-assisted development tools to move faster
- Hands-on experience with Python, Java, or Scala, and proficiency in SQL
- Experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus
- Aptitude to interact with customers confidently and professionally
- Can meet expectations for technical training and role-specific outcomes within 6 months of hire
What the job covers
- Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
- Operate as an expert in AI and data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks data and AI platform.
- Adopt a builder-first approach: move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets that accelerate customer outcomes.
- Use AI tools to increase your productivity and drive innovation.
- Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
- Grow your knowledge and expertise to the level of a technical and/or industry specialist.
Degree language
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience
Tools and skills named
Data
- Databricks8×
- Experimentation
- Hadoop
- Spark
Languages
- Java
- Python
- Scala
- SQL
Cloud & infra
- Kafka
Product & design
- Prototyping
Words the posting leans on
- customers11×
- data10×
- experience5×
- technical5×
- platform4×
- solutions4×
- architectures3×
- build3×
- drive3×
- engineers3×
- area2×
- building2×
- business2×
- data analytics2×
- demo2×
- develop2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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