Why This Role Stands Out
Leverage your extensive Databricks expertise to architect innovative data solutions in this hybrid role, offering significant career growth and skill development opportunities. This position is ideal for experienced data professionals who excel in cloud environments and enjoy building robust data platforms, so apply today to join a reputable company.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
Yesterday
SQLAWSETLApacheApache SparkAzureDatabricksGitGoogle CloudUnity
Job Description
Job Qualifications and Responsibilities for Databrick Architect:
- 8+ years of experience in data engineering, data architecture, or related areas.
- Strong enterprise experience with Databricks.
- Expert knowledge of:
- Databricks Lakehouse
- Delta Lake
- Apache Spark
- PySpark
- Spark SQL
- SQL
- Medallion Architecture
- Unity Catalog
- Strong experience designing ETL/ELT pipelines and data platforms.
- Hands-on experience with AWS, Azure, or Google Cloud Platform.
- Strong knowledge of data modeling, distributed computing, and cloud data architecture.
- Experience with Databricks security, governance, monitoring, and performance tuning.
- Experience with Git and CI/CD.
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