Lead - Data Engineer

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role Are you passionate about solving complex problems? Do you thrive in a fast-paced environment? Then there’s a good chance you will love being a part of our Software Engineering – Development team at Kyndryl, where you will be able to see the immediate value of your work. Lead Data Engineer will serve as the senior-most technical authority for enterprise data engineering services. The role is responsible for leading technical strategy, operational excellence, pipeline reliability, data quality, platform governance, and secure delivery of data services across ingestion, transformation, validation, publishing and recovery processes. The role will provide leadership across Snowflake, dbt, NiFi/OpenFlow, Dataiku, Power BI, SQL, Python, CI/CD for data engineering code, data quality controls, semantic models, BI refresh operations, RBAC, masking, encryption, audit trails, backup validation and DR readiness. Key Responsibilities Lead enterprise data engineering services across ingestion, transformation, validation, delivery, recovery, and pipeline reliability. Manage data pipelines across file, API, streaming, and batch ingestion patterns. Provide technical leadership for pipeline design reviews, operational readiness, troubleshooting, and recovery planning. Ensure data engineering operations are secure, auditable, SLA-driven, and governance-aligned. Operate, monitor, and optimize ingestion, transformation, and delivery pipelines across enterpri...