Scale Solution Engineer

Databricks Databricks · Data AI · Costa Rica · Customer Success Operations

Databricks is seeking a Scale Solution Engineer to advise customers on onboarding and deploying the Databricks platform in their production environments. The role involves providing technical assistance, guiding customers on technical decisions, and managing multiple customer engagements concurrently. Requires experience in data engineering or data warehousing technologies, knowledge of public cloud platforms, and programming skills. Bonus for Data Science and ML experience.

What you'd actually do

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

Skills

Required

  • 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
  • Knowledge of a programming language - Python, Scala, or SQL
  • Knowledge of end-to-end data analytics workflow
  • Hands-on professional or academic experience in Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)
  • Hands-on professional or academic experience in Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
  • Excellent time management and prioritization skills
  • Excellent written and verbal communication

Nice to have

  • Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)

What the JD emphasized

  • 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)