# Senior Solutions Engineer

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Mexico City, Mexico, Sao Paulo, Brazil
**Role:** Sales Engineering
**Experience:** 5+ years
**Skills:** Databricks, Lakehouse, Spark, Delta Lake, MLflow, SQL, Python, Scala, Java, R, Apache Hadoop, Apache Kafka, AWS, Microsoft Azure, GCP
**Posted:** 2026-08-18

> Partners with customers and sales teams to design, demonstrate, and deliver scalable Databricks data architectures. Requires at least 4 years of customer-facing technical experience, strong SQL and database skills, and programming experience in Python, Scala, Java, or R.

## Job Description

## Responsibilities
- Partner with customers to design scalable data architectures using Databricks technology and services.
- Drive complex technical discussions and communicate the value of the Databricks platform throughout the sales lifecycle.
- Engage technical stakeholders—including architects, engineers, and operations teams—as a trusted advisor.
- Develop account strategies with Sales and cross-functional partners to grow platform usage.
- Establish Databricks Lakehouse architecture as customers’ standard data architecture through technical account planning.
- Build and present reference architectures and demo applications for prospects.
- Consult on big data architectures, data engineering pipelines, and data science and machine learning projects.
- Prove Databricks technology for strategic customer projects and validate integrations with cloud services and third-party applications.
- Promote Databricks open-source projects, including Spark, Delta Lake, MLflow, and Koalas, through meetups, conferences, and webinars.
- Travel to customers in the region up to 30% of the time.

## Requirements
- 4+ years of experience in customer-facing pre-sales, technical architecture, or consulting.
- Expertise in at least one of the following areas: big data engineering; data warehousing and ETL; data science and machine learning; or data applications.
- Ability to translate business needs into technology solutions and establish stakeholder buy-in.
- Experience designing, architecting, presenting, and managing delivery of production data systems.
- Fluency in SQL and database technology.
- Debugging and development experience in Python, Scala, Java, or R.

## Nice-to-haves
- Experience building solutions with AWS, Azure, or Google Cloud.
- Degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research.

## Compensation and Benefits
- Comprehensive benefits and perks are offered, with details varying by region.

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