Scale Solution Engineer

CSQ227R230

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