Data Engineering Strategist

hace 1 semana


San Francisco, Heredia, Costa Rica Databricks A tiempo completo

As a Growth Architect at Databricks, you will play a critical role in advising customers on their onboarding journey. You will work directly with customers to help them onboard and deploy Databricks in their production environment.

Your Impact:

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 to achieve their goals.
- You will work on multiple tactical customers to track and report their progress.

We are looking for individuals with undergraduate degrees or higher in Computer Science, Information Systems, or relevant experience.
- 0-2 years of experience in a technical role, preferably in the data or cloud field is required.
- Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is necessary.
- Familiarity with a programming language such as Python, Scala, or SQL is essential.
- Experience with end-to-end data analytics workflow is crucial.
- Hands-on professional or academic experience in Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow) and Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake) is desired.
- Excellent time management and prioritization skills
- Excellent written and verbal communication

We offer a comprehensive compensation package including an estimated salary range of $120,000 - $180,000 per year based on experience and qualifications.
- Comprehensive health coverage
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Employee Assistance Program (EAP)
- Business travel accident insurance

About Databricks:

Databricks is the leader in the Data and AI market. With over 10,000 organizations relying on our platform, we aim to empower our customers to solve complex data problems. Our headquarters are located in San Francisco, but our impact reaches globally. We take pride in fostering a diverse and inclusive culture where everyone can excel.



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