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Databricks

Builds cloud software for data analysis and AI

Solutions Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeChicago, IL, USANo salary listed

About the Job

Requirements

  • At least 2 years of technical experience in a customer-facing solutions engineering role.
  • A bachelor's degree in Computer Science, Data Science, Information Systems, or Engineering, or equivalent experience through work experience.
  • A builder mindset, with a preference for hands-on prototyping and learning by doing, and comfort using AI-assisted development tools.
  • Hands-on experience with Python, Java, or Scala, and proficiency in SQL.
  • Ability to interact with customers confidently and professionally.
  • Ability to meet expectations for technical training and role-specific outcomes within 6 months of hire.

Responsibilities

  • Build successful relationships with customers throughout the assigned territory, providing technical and business value in collaboration with Account Executives.
  • Develop expertise in AI and data analytics, and advise customers on architecture, design, and implementation to support adoption of the Databricks data and AI platform.
  • Move quickly from customer problems to working prototypes by writing code, building demos, and creating reusable assets.
  • Use AI tools to increase productivity and drive innovation.
  • Author reference architectures, how-tos, and demo applications; scale best practices; and support customers and the regional Databricks community by leading workshops, seminars, and meet-ups.
  • Grow knowledge and expertise to become a technical and/or industry specialist.

Desired Qualifications

  • Experience with Big Data technologies such as Spark, Hadoop, or Kafka, and related architectures.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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