Lead Data Engineer

About the role

Coforge is hiring a Lead Data Engineer (ref #21015-37-1) to drive the design, implementation, and migration of large‑scale data platforms across multiple Latin American locations. The role is fully remote and requires deep technical expertise combined with strong leadership abilities.

Key responsibilities

• Lead and mentor a team of Data Engineers, providing technical direction, conducting code reviews, and promoting engineering excellence.
• Own the end‑to‑end architecture and design of scalable, reliable data platforms aligned with business needs.
• Lead implementation delivery from design through deployment, ensuring high‑quality and production‑ready solutions.
• 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 the implementation of Infrastructure as Code using Terraform and drive CI/CD adoption across data platforms and pipelines.
• Collaborate with Data, Product, Architecture, and Business teams to translate requirements into robust technical solutions.
• Act as the 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 experience in Data Engineering, with at least 2–3 years in a Lead or Staff‑level role.
• Proven experience owning system design and leading implementations of large‑scale data platforms.
• Strong problem‑solving skills with the ability to make architectural trade‑offs and decisions.
• Excellent communication skills and ability to influence technical and non‑technical stakeholders.
• Proven experience managing and developing Data Engineering teams, including mentoring and performance management.
• Previous experience in the insurance or financial services industry.

Required skills

• Snowflake
• Azure Databricks
• dbt
• Python
• SQL
• Terraform
• CI/CD pipelines
• Git version control
• ETL/ELT frameworks
• Data modeling and distributed data systems
• Infrastructure as Code
• Cloud‑to‑cloud data migration (AWS to Azure)
• Kafka, Event Hubs, Delta Live Tables (preferred)