Description

Architect and lead data analytics solutions on Azure, focusing on Databricks and cloud-native data warehousing.

This role is on-site.

Responsibilities

• Define architecture scope and timelines for data projects in collaboration with business stakeholders and IT teams.
• Ensure strict compliance with security, governance, and documentation standards across all architecture processes.
• Enforce best practices for code quality, data security, and scalability within the engineering team.
• Mentor data engineers and manage customer communications, translating complex technical concepts for non-technical audiences.
• Evaluate and integrate new Databricks technologies to drive platform innovation and efficiency.

Required Skills

• 12+ years of IT experience, including 5+ years in data analytics projects.
• Expertise in Azure Databricks, including notebook development and Delta Lake/Delta Tables.
• Deep understanding of Azure services: Azure Data Lake Storage Gen2, Azure Synapse, and Azure Data Factory.
• Strong proficiency in SQL and familiarity with NoSQL databases.
• Experience designing and building ETL/ELT processes, data warehouses, and data lakes.
• Proficiency in implementing CI/CD pipelines and version control systems like Git.
• Experience optimizing query layers using Databricks SQL.

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