Lead Data Engineer
Posted Updated
Summary
A lead data engineer role in Chennai owning the technical design of a bronze/silver/gold (medallion) Snowflake data foundation for quality-management data. The person defines ELT/CDC pipeline patterns from SAP QM/SD sources, sets dbt transformation and lineage standards, reviews junior engineers' work, and signs off on data quality.
Lead Data Engineer
Tentative YOE
8–12 years
Positions (FTE)
1
Owns the technical design of the bronze/silver/gold Snowflake QM data foundation and directs the junior data engineers building it.
Responsibilities
- Own the medallion architecture design (bronze/silver/gold) for the QM data foundation on Snowflake
- Define ELT/CDC pipeline patterns from SAP QM/SD source objects and data quality/contract standards
- Set standards for dbt (or equivalent) transformation tooling and lineage/cataloguing practice
- Review pipelines and models built by the junior data engineers; own data quality sign-off
- Co-ordinate with the Solution Architect and SAP QM Functional Consultant on source-to-target mapping
Requirements
- 8–12 years in data engineering, with deep hands-on Snowflake experience (SQL, Snowpark, Streams/Tasks, Iceberg)
- Proven medallion architecture design and delivery, ideally with SAP source systems
- dbt or equivalent transformation tooling; data quality framework design
- Comfortable owning architecture decisions and directing a small engineering team