Description

Architect and lead data engineering solutions on Azure, focusing on Databricks, Delta Lake, and cloud-native data platforms.

This role is on-site.

Responsibilities

• Define architecture scope and timelines for data analytics and DWH projects with business stakeholders.
• Ensure compliance with security, governance, and code quality standards across the data platform.
• Build and optimize data ingestion, transformation pipelines, and query layers using Databricks and Azure Synapse.
• Mentor data engineers and drive best practices in CI/CD, version control, and scalability.
• Document architecture processes and maintain alignment with evolving Azure Databricks technologies.

Required Skills

• 12+ years of IT experience, including 5+ years in data analytics and data warehousing.
• Expertise in Azure Databricks notebook development, Delta Lake, and Delta tables.
• Strong knowledge of Azure services: Azure Data Lake Storage Gen2, Azure Synapse, and Azure Data Factory.
• Hands-on experience with ETL/ELT processes, data warehousing, and data lake construction.
• Proficiency in SQL and familiarity with NoSQL databases.
• Experience implementing CI/CD pipelines and version control systems like Git.
• Ability to explain complex technical concepts to non-technical stakeholders.

Preferred Skills

• Experience with Microsoft Fabric for analytics and integration tasks.
• Proficiency in Power BI for dashboarding and reporting.
• Experience with Spark Streaming for real-time data processing.

Key Skills

Education

Any Graduate