At a glance
- Experience
- 2+ years experience
- Workplace
- Onsite
- Location
- New York City
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.
About the role
- This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders.
- You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges.
Responsibilities
- 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.
- 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.
Requirements
- 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
- Aptitude to interact with customers confidently and professionally
- Can meet expectations for technical training and role-specific outcomes within 6 months of hire
Preferred qualifications
- Experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus
Workplace
- This will be an in-office role and candidates must be based in our New York City (Midtown location).
Skills
- Python
- Java
- Scala
- SQL
- Spark
- Hadoop
- Kafka
