Solutions Engineer

Databricks · Sao Paulo, Brazil · Field Engineering · listed October 20, 2026

The shape of it

Seniority
Entry level
Experience asked
1+ years
Where
On site
Requirements listed
7
Length
735 words

In the posting’s own words

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 data science and analytics accessible to all. 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!

What it asks for · 7

  • The ideal candidate has 1+ years of technical experience in a customer-facing 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

What the job covers

  • 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, leading to the successful adoption of the Databricks 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.

Degree language

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience.

Tools and skills named

Data
  • Databricks7×
  • Experimentation
  • Hadoop
  • Spark
Languages
  • Java
  • Python
  • Scala
  • SQL
Cloud & infra
  • Kafka
Product & design
  • Prototyping

Words the posting leans on

  • customers10×
  • data8×
  • experience5×
  • technical5×
  • platform4×
  • architectures3×
  • building3×
  • demos3×
  • analytics2×
  • area2×
  • big data2×
  • build2×
  • data science2×
  • develop2×
  • drive2×
  • engineering2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched November 2, 2026 and last changed by Databricks on October 23, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.