Description

You will design and implement large-scale cloud data solutions using the Azure ecosystem, owning the architecture from concept to production.

This role is on-site.

Responsibilities

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

Required Skills

• 4-year Bachelor’s degree in Computer Science (strict requirement).
• 7+ years of professional experience in data engineering, architecture, 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.
• Proven experience with Spark and distributed data processing frameworks.
• Deep understanding of data modeling and schema design.

Key Skills

Education

Bachelor's degree