Solutions Engineer

Databricks
New York, NY
On-site

Who this role is best for

Aimed at mid-level to senior solutions engineers with a builder mindset who thrive in in-office, customer-facing roles.

Best fit for

  • Candidates with a builder mindset and 2+ years in customer-facing solutions engineering roles
    — “The ideal candidate has 2+ years of technical experience in a customer-facing solutions engineering role.”
  • Individuals with strong hands-on coding skills in Python, Java, or Scala and a background in Big Data
    — “Hands-on experience with Python, Java, or Scala, and proficiency in SQL”

Things to consider

  • In-office commitment is mandatory with no relocation assistance offered
    — “This will be an in-office role and candidates must be based in our New York City (Midtown location). Relocation assistance will not be provided.”
  • Candidates must be prepared to complete technical training and meet role-specific outcomes within 6 months
    — “Can meet expectations for technical training and role-specific outcomes within 6 months of hire”

How to stand out

  • Highlight experience with AI-assisted development tools and prototyping in your resume and interviews
    — “preference for hands-on prototyping and learning-by-doing, with comfort using AI-assisted development tools”
  • Emphasize your ability to create reusable assets and guide customers through production readiness
    — “Adopt a builder-first approach: move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets”
  • Showcase your confidence in interacting with customers and delivering business value
    — “Aptitude to interact with customers confidently and professionally”
  • Demonstrate your ability to author reference architectures and lead community-building activities
    — “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”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Building working prototypes
  • Leading customer teams
  • Creating reusable assets
  • Authoring reference architectures
Typical background
2+ years of technical experience in a customer-facing solutions engineering role

Skills & requirements

Required

Solutions EngineeringCustomer-facing Technical RolesAI And Data AnalyticsDatabricks PlatformTechnical PrototypingCustomer Consultation

Preferred

Big Data TechnologiesAi-assisted Development Tools

Stack & domain

PythonJavaScalaSQLBig Data TechnologiesAI ToolsCustomer-first MindsetCollaborativeInnovationTechnical And Business StrategyData AnalyticsAISalesCustomer Support

About the role

Original posting from Databricks

FEQ427R443

Solutions Engineer

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.

With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. 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.  Solutions engineers go further than telling them what's possible, they build working prototypes and advise customer teams on how to get to production.  You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it!

This will be an in-office role and candidates must be based in our New York City (Midtown location). Relocation assistance will not be provided.

Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates.

More About Databricks

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The impact you will have:

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.

What we look for:

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

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.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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.

Compliance

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.

Source: Databricks careers

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