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 complex issues and ensuring platform stability
• Maintain comprehensive documentation of architecture, design decisions, and implementation standards
• 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 complex issues and ensuring platform stability
• Maintain comprehensive documentation of architecture, design decisions, and implementation standards
Required Qualifications
• 8+ years of experience in Data Engineering, including 2–3 years in a Lead or Staff role
• Proven experience designing and implementing large-scale data platforms
• Strong hands-on expertise with Snowflake, Azure Databricks, DBT, and Python
• Experience handling large-scale data transformations (thousands of DBT models and pipelines processing terabytes of data daily)
• Deep understanding of data architecture, data modeling, and distributed systems
• Extensive experience with Terraform and Infrastructure-as-Code principles
• Proven experience leading cloud-to-cloud migrations (AWS to Azure preferred)
• Strong experience with CI/CD pipelines and Git-based version control
• Advanced SQL skillsand strong knowledge ofETL/ELT frameworks
• Strong problem-solving skills with the ability to make architectural decisions and trade-offs
• Excellent communication skills with the ability to influence technical and non-technical stakeholders
• Ability to thrive in a fast-paced, ownership-driven environment
• Industry experience in insurance or financial services, with knowledge of domains such as claims, policies, underwriting, and risk
• Proven experience managing teams, including mentoring, coaching, and developing talent across performance levels
• 8+ years of experience in Data Engineering, including 2–3 years in a Lead or Staff role
• Proven experience designing and implementing large-scale data platforms
• Strong hands-on expertise with Snowflake, Azure Databricks, DBT, and Python
• Experience handling large-scale data transformations (thousands of DBT models and pipelines processing terabytes of data daily)
• Deep understanding of data architecture, data modeling, and distributed systems
• Extensive experience with Terraform and Infrastructure-as-Code principles
• Proven experience leading cloud-to-cloud migrations (AWS to Azure preferred)
• Strong experience with CI/CD pipelines and Git-based version control
• Advanced SQL skillsand strong knowledge ofETL/ELT frameworks
• Strong problem-solving skills with the ability to make architectural decisions and trade-offs
• Excellent communication skills with the ability to influence technical and non-technical stakeholders
• Ability to thrive in a fast-paced, ownership-driven environment
• Industry experience in insurance or financial services, with knowledge of domains such as claims, policies, underwriting, and risk
• Proven experience managing teams, including mentoring, coaching, and developing talent across performance levels
Preferred Qualifications
• Experience implementing data governance, observability, and data quality frameworks
• Knowledge of security and compliance standards in financial or insurance environments
• Experience with real-time and streaming technologies (Kafka, Event Hubs, Delta Live Tables)
• Familiarity with lakehouse architecture and cost/performance optimization strategies
• Experience implementing data governance, observability, and data quality frameworks
• Knowledge of security and compliance standards in financial or insurance environments
• Experience with real-time and streaming technologies (Kafka, Event Hubs, Delta Live Tables)
• Familiarity with lakehouse architecture and cost/performance optimization strategies
Published on: 7-7-2026
At Coforge, we hire professionals based solely on their skills and qualifications, without discrimination based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Apply on company site
You will be redirected to the company website to complete your application.
