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Lead Data Engineer
EncoraLatin Americafull_timeVerifiedPosted 7 Jul 2026
About the role
Job Title: Lead Data Engineer
Key Skills: Snowflake, Azure Databricks, DBT, Python, SQL, Terraform, CI/CD, Data Architecture, Distributed Systems, Data Migration
Experience: 8+ years of experience (including 2–3 years in Lead or Staff roles)
Location: LATAM (open to all countries in the region)
Work Model: Remote for legal residents in LATAM
Key Skills: Snowflake, Azure Databricks, DBT, Python, SQL, Terraform, CI/CD, Data Architecture, Distributed Systems, Data Migration
Experience: 8+ years of experience (including 2–3 years in Lead or Staff roles)
Location: LATAM (open to all countries in the region)
Work Model: Remote for legal residents in LATAM
At Coforge, we are looking for a Lead Data Engineer (#22145) with the following profile.
Main Responsibilities
• Lead and mentor a team of data engineers, defining technical direction and promoting engineering excellence
• Own the end-to-end architecture and design of the data platform, ensuring scalability, reliability, and alignment with business needs
• Take full ownership of delivery from design to deployment, ensuring high-quality production-ready solutions
• Define and drive data migration strategy from Snowflake / SSIS to Azure Databricks and DBT
• Collaborate with cross-functional teams (data, product, architecture, business) to translate requirements into robust technical solutions
• Design and oversee scalable data pipelines and data models with a focus on performance and maintainability
• Lead infrastructure-as-code implementation using Terraform, ensuring automation and consistency
• Establish and enforce architecture standards, design patterns, and best practices across the data ecosystem
• Ensure reliable data integration between legacy systems and Azure environments, focusing on data quality and observability
• Drive CI/CD adoption and oversee release processes for pipelines and platform components
• Act as the primary technical owner for troubleshooting
• Lead and mentor a team of data engineers, defining technical direction and promoting engineering excellence
• Own the end-to-end architecture and design of the data platform, ensuring scalability, reliability, and alignment with business needs
• Take full ownership of delivery from design to deployment, ensuring high-quality production-ready solutions
• Define and drive data migration strategy from Snowflake / SSIS to Azure Databricks and DBT
• Collaborate with cross-functional teams (data, product, architecture, business) to translate requirements into robust technical solutions
• Design and oversee scalable data pipelines and data models with a focus on performance and maintainability
• Lead infrastructure-as-code implementation using Terraform, ensuring automation and consistency
• Establish and enforce architecture standards, design patterns, and best practices across the data ecosystem
• Ensure reliable data integration between legacy systems and Azure environments, focusing on data quality and observability
• Drive CI/CD adoption and oversee release processes for pipelines and platform components
• Act as the primary technical owner for troubleshooting
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