Description

You will design and implement cloud data architectures on Azure, ensuring scalable and efficient data solutions for enterprise analytics.

This role is on-site.

Responsibilities

• Design and implement Azure-based data solutions including Data Lake, Data Factory, Synapse, and Databricks.
• Develop distributed data processing frameworks using Spark and Databricks.
• Define data models, schema designs, and metadata management strategies for large-scale platforms.
• Create and maintain clear architectural documentation and system diagrams.
• Build and automate data pipelines using Python and SQL.

Required Skills

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

Key Skills

Education

Bachelor's degree