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Sales engineering

Solutions Engineer

Databricks logoDatabricksSao Paulo, BrazilListed 1w ago

The posting

P-1623

Specifically targeting candidates based in Sao Paulo, Brazil.

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!

This will be an in-office role and candidates****must be based in Sao Paulo.

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 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.

What we look for

  • 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

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.

Taken from Databricks's own posting, last seen live on 31 Oct 2026.

The application

Your details, CV and LinkedIn, then 5 questions.

Have readyCVLinkedInCover letter (optional)Website (optional)
  1. 1.
    Are you legally authorized to work in the country in which you are applying?Yes or no
  2. 2.
    Do you now or will you in the future need sponsorship for employment visa status in the country in which you are applying?Yes or no
  3. 3.
    Do you currently or have you previously worked for Databricks in the past?Pick one: No · Yes - I currently work at Databricks · Yes - Previous Full-Time Employee · Yes - Previous Contractor · Yes - Previous Intern
  4. 4.
    Please confirm whether any of the below applies to you. Select all that apply. Note: This information will only be used to ensure compliance with U.S. sanctions and export controls.Pick any
  5. 5.
    If you selected a response to the prior question other than “none of the above,” please confirm whether any of the following also applies to you. Select all that apply.Pick any (9 options)

From Databricks's apply page, checked 30 Oct 2026.

About Databricks

Sells its Data + AI Platform (lakehouse, Unity Catalog, Agent Bricks) to enterprises building analytics, data apps and AI agents.

Pay schedule: Salaried employment; on quota-carrying roles the commission sits inside the on-target figure each posting quotes.

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