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Databricks

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Scale Solutions Engineer

Databricks

Costa Rica Customer Success Operations 2d ago

Scale Solutions Engineer

Databricks

Sao Paulo, Brazil Customer Success Operations 4w ago

Scale Solutions Engineer

Databricks · Costa Rica

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Customer Success Operations Costa Rica Posted May 6, 2026

CSQ326R204

At Databricks, we aim to empower our customers to solve the world's most challenging data problems using the Data Intelligence platform. As a Scale Solution Engineer, you will be critical in advising customers during their onboarding. You will work directly with customers to help them onboard and deploy Databricks in their production environment.

The impact you will have:

You will ensure new customers have an excellent experience by providing technical assistance early in their journey
You will become an expert on the Databricks Platform and guide customers in making the best technical decisions
You will work directly with multiple customers concurrently to provide technical solutions.

What we look for:

Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
1+ years experience in a technical role, preferably in the data or cloud field
Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.
Knowledge of a programming language - Python, Scala, or SQL
Knowledge of end-to-end data analytics workflow
Hands-on professional or academic experience in one or more of the following:
- Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)
- Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
Excellent time management and prioritization skills
Excellent written and verbal communication
Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

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Scale Solutions Engineer

Databricks · Sao Paulo, Brazil

Apply now

Customer Success Operations Sao Paulo, Brazil Posted Apr 9, 2026

CSQ127R332

You will ensure new customers have an excellent experience by providing technical assistance early in their journey
You will become an expert on the Databricks Platform and guide customers in making the best technical decisions
You will work directly with multiple customers concurrently to provide technical solutions.

What we look for:

Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
3+ years experience in a customer-facing technical role in pre-sales, professional services, consulting or customer success.
Experience in one or more of the following:
Solid understanding of the end to end data analytics workflow
Excellent time management and prioritization skills
Knowledge of public cloud platforms AWS, Azure or GCP would be a plus
Knowledge of a programming language - Python, Scala, or SQL
Knowledge of end-to-end data analytics workflow
Hands-on professional or academic experience in one or more of the following:
Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)
Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
Excellent time management and prioritization skills
Excellent written and verbal communication, in English and Portuguese
Bonus
- Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models).
- Databricks certification(s)

About Databricks

Our Commitment to Diversity and Inclusion

Compliance

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Apply to Databricks

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