Description

You will lead the design, architecture, and implementation of scalable Azure data solutions, acting as the primary technical point of contact for customers.

This role is on-site.

Responsibilities

• Design and implement complex Azure data architectures, including integration strategies and end-to-end pipelines.
• Manage data integration and transformation using Azure Data Factory, Azure Databricks, and Synapse.
• Develop PySpark solutions for large-scale data processing and efficient data pipeline management.
• Supervise the technical team, providing mentorship and direction to ensure timely project delivery.
• Manage onsite/offshore delivery models and maintain thorough documentation for all architectures and processes.

Required Skills

• 7+ years of experience in Azure-based solutions, data engineering, and architecture.
• Expertise in Azure Data Factory, Azure Databricks, and PySpark.
• Strong proficiency in SQL, Oracle, and MSSQL.
• Hands-on experience with ADLS Gen2, Data Lake, Delta Tables, and Data Warehousing.
• Experience implementing Azure Key Vault and Azure Functions for secure, scalable solutions.
• Proficiency with Azure DevOps for pipeline management.
• Proven experience in team leadership and managing onsite/offshore delivery models.

Preferred Skills

• Experience with Synapse for integrated analytics.

Key Skills

Education

Any Graduate