Scale AI Solutions Engineer

Databricks; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Databricks is seeking a Scale Solution Engineer to guide customers from pre-sales evaluation through onboarding and production, by building and working with AI-augmented workflows that enable one engineer to deliver quality guidance at scale.

You will advise multiple customers, become an expert on the Databricks Data + AI Platform, and help teams make the best technical decisions while showcasing the platform's value through hands-on collaboration during pre-sales and deployment.

Qualifications

• Undergraduate degree or higher in Computer Science, Information Systems, or similar.
• 1+ years of experience in a technical role, preferably in the Data, AI, or Cloud field.
• Knowledge of AWS, Azure, or GCP is required.
• Knowledge of AI-driven development with Python or SQL.
• Understanding of end-to-end data analytics and data engineering workflow.
• Excellent time management and prioritization skills.
• Bonus: Experience in consulting or pre-sales roles.

Responsibilities

• Provide technical assistance across the customer lifecycle to ensure an excellent experience.
• Become an expert on the Databricks Data + AI Platform and guide customers in making the best technical decisions through AI-augmented workflows.
• Work directly with multiple customers concurrently to deliver technical solutions.

Skills

Communication

Pre-sales

Python

SQL

Cloud platforms

Data analytics

Time management

Education

Bachelor's degree in CS or related

Tools

Databricks Platform

Job description

Databricks is seeking a Scale Solution Engineer to guide customers from pre-sales evaluation through onboarding and production, by building and working with AI-augmented workflows that enable one engineer to deliver quality guidance at scale.

You will advise multiple customers, become an expert on the Databricks Data + AI Platform, and help teams make the best technical decisions while showcasing the platform's value through hands-on collaboration during pre-sales and deployment.