Data Engineering Lead

Data Engineering Lead

Role Overview

We are seeking a highly skilled Data Engineering Lead with 78 years of hands-on experience in Azure data engineering, data warehousing, and automation-driven

integration. The ideal candidate should be a proven technical lead, capable of driving end-to-end project delivery and working closely with customer teams. This is a Work from Office / Customer Site role.

Roles and Responsibilities

• Lead the design, development, and delivery of data engineering and automation projects.

• Architect and implement ETL/ELT pipelines using Azure Data Factory.

• Design and manage enterprise data warehouses including dimensional modeling and schema optimization.

• Manage Azure components including Storage Accounts, Data Lakes, Azure SQL, and Synapse.

• Drive automation initiatives across data ingestion and transformation workflows.

• Collaborate with business and technical stakeholders to translate requirements into scalable solutions.

• Mentor team members and enforce engineering best practices.

• Serve as the technical anchor responsible for ensuring high-quality, on-time delivery.

Skills and Qualification

• Strong hands-on experience with Azure Data Factory, Azure Storage, Azure SQL/Synapse.

• Deep understanding of data warehousing concepts: star/snowflake schemas, fact/dimension modeling.

• Experience with automation-led data engineering solutions.

• Strong troubleshooting, optimization, and analytical skills.

• Excellent communication and stakeholder management abilities.

• Proven experience as a Technical Lead leading teams and delivery.

Must Have

• 7–8 years of relevant data engineering experience.

• Strong Azure Data Engineering and Data Warehousing expertise.

• Proven Technical Lead experience.

• Ability to work from office and customer site.

• Strong ownership mindset with a focus on quality and delivery excellence.