Description

You will design and implement Azure-based data solutions, owning the architecture for large-scale data platforms.

Responsibilities

• Architect and build data solutions using Azure Data Lake, Data Factory, Synapse, and Databricks.
• Design data models, schemas, and metadata management systems for enterprise analytics.
• Develop and automate data pipelines using Python and SQL.
• Implement distributed data processing frameworks like Spark and Databricks.
• Create and maintain clear architectural documentation and system diagrams.

Required Skills

• 7+ years of professional experience in data engineering or enterprise analytics.
• 3+ years focused specifically on cloud data architecture.
• Hands-on expertise with Azure Data Lake, Data Factory, Synapse, and Databricks.
• Strong proficiency in Python and SQL for pipeline development.
• Deep understanding of data modeling, schema design, and metadata management.
• Bachelor’s degree in Computer Science (strict requirement).

Key Skills

Education

Bachelor's degree