Databricks

Solutions Engineer

Databricks$121K — $167K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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 work experience.
  • Strong hands-on prototyping skills and a builder mindset, with comfort using AI-assisted development tools.
  • Proficiency in Python, Java, or Scala, and knowledge of SQL; experience with Big Data technologies (e.g., Spark, Hadoop, Kafka) is preferred.
  • Ability to interact confidently and professionally with customers.
  • Willingness to meet technical training and role-specific outcomes within 6 months of hire.

Responsibilities

  • Form successful relationships with customers to provide technical and business value in collaboration with Account Executives.
  • Excite customers about Databricks through expertise in big data analytics, becoming a trusted advisor on architecture and implementation.
  • Adopt a builder-first approach by quickly moving from customer problems to working prototypes using code and demos.
  • Scale best practices by authoring reference architectures and how-tos, and by leading workshops and seminars.
  • Grow technical and industry knowledge to become a specialist in your field.

Benefits

  • Comprehensive benefits and perks that meet employee needs.
Full Job Description
FEQ327R76
Solutions Engineer

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 empower our customers to make informed decisions that propel their businesses forward. 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. Not just telling them what's possible, but building working prototypes and demos that prove it. 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) office. 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.
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 big 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 Lakehouse 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 SQLExperience 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

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$121,400-$167,000 USD

Zone 2 Pay Range

$121,400-$167,000 USD

Zone 3 Pay Range

$121,400-$167,000 USD

Zone 4 Pay Range

$121,400-$167,000 USD

BenefitsAt 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.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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