Lead Data Engineer

Lead Data Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI.

Requirements

• Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high-quality, timely delivery.
• Experience working in the Databricks tech stack with strong proficiency in SQL, Python, and PySpark
• Design and optimize data models, data marts, and Lakehouse/warehouse layers with strong focus on medallion architecture, query optimization, and performance engineering.
• Build, orchestrate, and monitor scalable data pipelines on Databricks, ensuring reliable ingestion, transformation, CDC handling, and incremental load strategies.
• Manage end-to-end pipeline operations including performance tuning, data quality monitoring, alerting, and issue resolution across production workloads.
• Lead a project team of data engineers supporting multiple workstreams and provide technical leadership through code reviews, best-practice guidance, reusable pattern creation, and mentorship to engineering team members.
• Prepare and maintain project documentation to support project execution and delivery.

Benefits

• We offer a comprehensive benefits package, for more information please visit https://www.exlservice.com/us-careers-and-benefits