# Solutions Engineer

**Company**: Databricks
**Location**: New York City, New York
**Work arrangement**: onsite
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8886384002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ba0075a1-355

## Description

As a Solutions Engineer at Databricks, you will play a key role in building and applying emerging technical skills in solutions engineering. You will work with customers to tackle real-world data challenges, build working prototypes, and advise customer teams on how to get to production.

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:

- 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.

Benefits: Databricks provides comprehensive benefits and perks that meet the needs of all employees.

## Skills

### Required
- Python
- Java
- Scala
- SQL
- Big Data technologies
- AI tools

### Nice to have
- Spark
- Hadoop
- Kafka

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8886384002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)