Lead Data Engineer

Job description

Req ID: phone\\_number Job Summary We are currently seeking a Lead Data Engineer to join our team in Bangalore, Karnataka (IN-KA), India (IN). Responsibilities • Lead the design, development, and modernization of enterprise data ingestion capabilities using Azure Data Factory and Snowflake, driving the migration from legacy ETL and ingestion frameworks to scalable, cloud-native solutions. • Manage and mentor an offshore team of data engineers, overseeing work prioritization, sprint planning, code quality, delivery execution, and operational support. • Serve as the primary client-facing technical lead, translating business requirements into ingestion architectures, engineering roadmaps, and delivery plans while managing stakeholder expectations. • Define and implement reusable, metadata-driven ingestion frameworks leveraging ADF, Snowflake, and automation patterns to accelerate source onboarding, improve reliability, and reduce technical debt. • Collaborate with architects, platform engineers, and business stakeholders to establish ingestion standards, orchestration patterns, data quality controls, CI/CD processes, monitoring, lineage, and governance practices. Required Skills • Azure Data Factory (ADF) • Snowflake • SQL • Python • Azure Data Lake Storage (ADLS) • Azure DevOps • CI/CD • ETL/ELT design • Change Data Capture (CDC)