Azure Databricks Architect
Overview
Lead design of scalable enterprise data platforms using Azure Databricks and Lakehouse architecture. Own end-to-end data engineering initiatives to drive high-performance ETL/ELT pipelines. Implement solutions leveraging PySpark Spark SQL and Databricks Workflows. Differentiate by scaling data infrastructure for Tampa based teams.
What You'll Do6
- 1Design and architect scalable enterprise data platforms using Azure Databricks and Lakehouse architecture
- 2Lead end-to-end data engineering initiatives including ingestion transformation integration analytics
- 3Build scalable data solutions leveraging Azure Data Factory Azure Data Lake Storage
- 4Optimize performance through PySpark Spark SQL and Databricks Workflows
- 5Drive adoption of ETL/ELT pipelines across hybrid cloud environments
- 6Collaborate with cross-functional teams to align data strategy with business goals
Requirements10
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading data platform projects
- 3AWS Certified professional certification preferred
- 4Python expertise required
- 5SQL proficiency essential
- 6Containerization skills using Docker
- 7Cloud architecture knowledge of Azure services
- 8Agile methodology experience
- 9Version control with Git
- 10Security compliance awareness for data governance
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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