DatabricksSolutions Engineer
Databricks is hiring a Solutions Engineer in São Paulo, Brazil. Level rates it ; you can apply on Databricks.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Python, Docker and big data.
- Level classifies it as a mid-level role.
- Level lists 898 other open roles at Databricks.
- The role was posted in the last few days.
AI in this role
Build working prototypes and demos for big data and data science platforms while advising customers on technical solutions.
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.
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.
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.
How we rate this
Solutions Engineer at Databricks rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where big data was part of your work. What did you do?
- Tell me about a project where solutions architecture was part of your work. What did you do?
- Tell me about a project where prototyping was part of your work. What did you do?
- What's a project where you used Python hands-on?
- Walk me through how you've used Docker in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Big Data, Solutions Architecture, Prototyping, Python, and Docker. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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