Scale Solution Engineer

Databricks databricks.com Open · verified Sep 25, 2026

Heredia Mid-level Solutions & Sales Engineering

At a glance

Mid-level Solutions & Sales Engineering role at Databricks. Heredia.

Pay not stated

RoleSolutions & Sales Engineering

SeniorityMid-level

LocationHeredia

PostedSep 11, 2026 · 2w ago

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Guide customers technically from initial evaluation through onboarding and live production use
Use AI-assisted workflows to deliver consistent technical guidance across many customers
Help customers choose sound technical approaches on the Databricks Data + AI Platform
Handle customer needs, objections, and value demonstrations during technical engagements
Manage concurrent customer work with strong prioritization and time control

What you bring

At least one year in a technical position, ideally involving data, AI, or cloud work
An undergraduate degree or comparable relevant background in computer science or information systems
Working knowledge of AWS, Azure, or GCP is required
You can use Python or SQL for AI-supported development and understand end-to-end data analytics and engineering workflows

Who this fits

You’ll suit a customer-facing technical role that spans presales evaluation, onboarding, and production support. Strong communication, relationship-building, objection handling, and prioritization are central. The position is based in Heredia, Costa Rica, and consulting, presales, or agentic-solution experience would be useful.

From the employer

CSQ327R201

At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Scale Solution Engineer, you play a critical role in advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production, by building and working with AI-augmented workflows that enable one engineer to deliver quality guidance at scale.

The impact you will have:

You will ensure customers have an excellent experience by providing technical assistance across their lifecycle.
You will become an expert on the Databricks Data + AI Platform and guide customers in making the best technical decisions through AI-augmented workflows.
You will work directly with multiple customers concurrently to provide technical solutions.

What we look for:

Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks Data + AI Platform.
Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience.
1+ years of experience in a technical role, preferably in the Data, AI, or Cloud field.
Knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP, is required.
Knowledge of AI-driven development with programming languages like Python or SQL.
Understanding of the end-to-end data analytics and data engineering workflow.
Excellent time management and prioritization skills.
Bonus: Experience in consulting or pre-sales roles, or with agentic solutions.

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.