Lead Data Engineer

About the role

Coforge is hiring a Lead Data Engineer for a remote position, open to candidates in Costa Rica, Peru, Colombia and Bolivia. The role leads a team of data engineers and owns the architecture and implementation of scalable data platforms, pipelines and data models.

Key responsibilities

• Lead and mentor a team of data engineers, set technical direction, conduct code reviews and drive engineering excellence.
• Own the end-to-end architecture, design and implementation of scalable data platforms, pipelines and data models.
• Define and lead data migration strategies from Snowflake/SSIS to Azure Databricks and DBT, covering architecture, cloud integration, data quality and observability.
• Drive Infrastructure as Code with Terraform, CI/CD adoption, architectural standards and collaboration with data, product, architecture and business stakeholders.

Required profile

• 8+ years of data engineering experience, including 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.
• Experience leading and developing engineering teams, including mentoring, training and managing different performance levels.
• Experience leading cloud-to-cloud data migration projects, preferably from AWS to Azure.
• Previous experience in insurance or financial services, with knowledge of claims, policies, underwriting and risk.

Required skills

• Snowflake, Azure Databricks, DBT, Python and advanced SQL.
• Terraform, Infrastructure as Code, CI/CD pipelines and Git-based version control.
• Data architecture, data modeling, distributed data systems and ETL/ELT frameworks.
• Large-scale data transformations with thousands of DBT models and pipelines processing terabytes of data daily.
• Preferred: data governance, observability and data quality frameworks; Kafka, Event Hubs, Delta Live Tables; lakehouse architectures; multi-cloud or hybrid cloud environments.