Description

You will lead the design, construction, and management of scalable data architectures and modern lakehouse solutions.

Responsibilities

• Architect and implement data lakehouse solutions to ensure seamless integration, storage, and processing.
• Optimize data workflows for performance, reliability, and security using Azure Synapse, Data Factory, and Databricks.
• Translate business requirements into technical designs through collaboration with cross-functional teams.
• Enforce best practices in data modeling, pipeline design, and storage architecture.
• Implement data quality and governance practices across the entire data lifecycle.

Required Skills

• 10+ years of IT experience in data engineering and data warehouse project development.
• 6+ years of hands-on experience with Azure Databricks.
• Expertise in Python and PySpark development.
• 6+ years of experience with Azure Synapse and Azure Data Factory.
• 8+ years of experience in data modeling.
• 6+ years of experience in data pipeline design, implementation, and cloud storage architecture.
• Hands-on experience with data quality and governance using Unity Catalog or Azure Purview.
• Bachelor's degree.

Key Skills

Education

Bachelor's degree