Lead Data Engineer

About the role

Coforge is seeking a Lead Data Engineer to drive the design, implementation and migration of large‑scale data platforms. The role combines technical leadership with hands‑on development across Azure and Snowflake environments.

Key responsibilities

• Lead and mentor a team of Data Engineers, providing technical direction and code reviews.
• Own end‑to‑end architecture and design of scalable, reliable data platforms aligned with business needs.
• Define and drive data migration strategies from Snowflake and SSIS to Azure Databricks and dbt.
• Design and oversee scalable data pipelines and data models, ensuring performance, maintainability, data quality and observability.
• Lead implementation of Infrastructure as Code using Terraform and drive CI/CD adoption across data platforms.
• Collaborate with Data, Product, Architecture and Business teams to translate requirements into robust technical solutions.
• Act as primary technical owner for complex troubleshooting and long‑term platform stability.
• Establish architectural standards, design patterns and engineering best practices across the data ecosystem.

Required profile

• 8+ years of Data Engineering experience, including 2–3 years in a lead or staff‑level role.
• Proven experience owning system design and leading implementations of large‑scale data platforms.
• Strong hands‑on expertise with Snowflake, Azure Databricks, dbt and Python.
• Deep understanding of data architecture, data modeling and distributed data systems.
• Extensive experience with Terraform, Infrastructure as Code and CI/CD pipelines.
• Advanced SQL skills and solid knowledge of ETL/ELT frameworks.
• Excellent communication skills and ability to influence technical and non‑technical stakeholders.

Required skills

• Azure Databricks
• Snowflake
• dbt
• Python
• SQL
• Terraform
• CI/CD
• Git
• Kafka
• Event Hubs
• Delta Live Tables