Data Architect Lead
hace 1 semana
As a senior data engineer at Databricks, you will be responsible for advising customers on their onboarding journey and helping them deploy the Data Intelligence platform 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 to achieve their goals.
- You will work on multiple tactical customers to track and report their progress.
Required Skills and Qualifications:
- Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience.
- 0-2 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) and Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake).
Estimated Salary Range: $120,000 - $180,000 per year
We offer a comprehensive benefits package, including 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), and business travel accident insurance.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
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