
Master Data Architect
2 days ago
Job Summary:
We seek a skilled Master Data Architect to design, develop, and maintain data architecture frameworks using Databricks PySpark. In this role, you will create advanced data pipelines using Databricks workflows and collaborate with cross-functional teams to translate data requirements into efficient ETL workflows.
Key Responsibilities:
- Design and implement robust data architectures following the Medallion Architecture principles, organizing data into Bronze, Silver, and Gold layers.
- Develop and maintain data pipelines using Databricks PySpark, ensuring data quality, integrity, and reliability throughout the ETL lifecycle.
- Collaborate with data engineering, data science, and business intelligence teams to optimize ETL workflows for performance and scalability.
- Implement robust error handling and monitoring mechanisms to detect and resolve issues within ETL processes.
Requirements:
- Extensive experience in designing and developing ETL processes using Databricks PySpark.
- Proven expertise in optimizing ETL workflows for performance and scalability.
- Strong understanding of data governance standards and compliance regulations.
- Ability to work collaboratively in a team environment.
What We Offer:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A dynamic and supportive work environment.
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