
Cloud Data Platform Architect
4 days ago
Job Overview:
We are seeking an accomplished data platform architect to lead the design and optimization of modern data ecosystems.
Main Responsibilities:
- Develop and oversee Databricks architecture, development & operations strategies.
- Create and optimize ETL/ELT pipelines with Python (PySpark) for data processing.
- Set up and maintain CI/CD pipelines using Git/DevOps tools for efficient workflows.
- Design scalable data lakes, warehouses & lakehouses for streamlined data management.
- Optimize Databricks clusters, jobs & workflows (batch & streaming) for enhanced performance.
Key Requirements:
- 5+ years of experience in data engineering with a proven track record.
- Strong expertise in Databricks & Apache Spark with hands-on Unity Catalog knowledge.
- Familiarity with CI/CD practices, Git integration, and automation for efficient workflow setup.
- A solid understanding of ETL pipeline creation, Azure Data Factory, Informatica, and similar technologies.
About This Role:
This is an exciting opportunity for experienced professionals to showcase their skills in designing and optimizing cutting-edge data platforms. If you have a passion for data engineering and a desire to work at the forefront of innovation, we encourage you to apply.
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