Job Role : Lead Data Engineer

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.

Tech Stack :

- Azure Data Factory (ADF)

- Snowflake

- SQL

- Python

- Azure Data Lake Storage (ADLS)

- Azure DevOps

- CI/CD

- ETL/ELT design

- Change Data Capture (CDC)