Data Engineer for Cloud Platforms
hace 2 días
We are seeking an experienced Data Engineer to join our team as a Growth Architect. This role will play a critical part in advising customers on their onboarding journey, ensuring they have an excellent experience by providing technical assistance early in their journey.
About the RoleIn this position, 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 directly with customers to help them onboard and deploy Databricks in their production environment.
You will be responsible for:
- Ensuring new customers have an excellent experience by providing technical assistance early in their journey.
- Becoming an expert on the Databricks Platform and guiding customers in making the best technical decisions to achieve their goals.
- Working on multiple tactical customers to track and report their progress.
To be successful in this role, you will need:
- Undergraduate degree 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.
- 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 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).
We offer a competitive salary range of $120,000 - $180,000 per year, depending on location and experience. Other benefits include:
- Comprehensive health coverage, including medical, dental, and vision.
- 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.
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.
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