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AI Summary

Lead and mentor Data Engineers while owning the architecture, design, and delivery of scalable data platforms and pipelines. Drive migration from Snowflake and SSIS to Azure Databricks and dbt, implement Terraform and CI/CD practices, and establish engineering standards and platform stability.

Job Title: Lead Data Engineer

Key Skills: Data Engineering, Azure Databricks, Snowflake, dbt, Python, SQL, Terraform, Data Architecture, ETL/ELT, CI/CD, Data Migration

Experience: +8 years of experience.

Location: Costa Rica, Peru, Colombia, Bolivia.

Work Mode: Remote.

At Coforge, we are hiring Lead Data Engineer (#21015-37-1) with the following skill set.

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 Skills & Qualifications
• 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 hands-on expertise with Snowflake, Azure Databricks, dbt, and Python.
• Experience working with large-scale data transformations involving thousands of dbt models and data pipelines processing terabytes of data daily.
• Deep understanding of data architecture, data modeling, and distributed data systems.
• Extensive experience with Terraform and Infrastructure as Code principles.
• Proven experience leading cloud-to-cloud data migration projects, preferably from AWS to Azure.
• Strong experience with CI/CD pipelines and Git-based version control.
• Advanced SQL skills and strong knowledge of ETL/ELT frameworks.
• 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, performance management, and identifying training and development needs.
• Experience managing teams with different performance levels and demonstrating measurable outcomes through coaching and development.
• Previous experience in the insurance or financial services industry, with knowledge of domains such as claims, policies, underwriting, and risk.
• Advanced English proficiency.

Preferred Skills
• Experience implementing data governance, observability, and data quality frameworks.
• Strong knowledge of security and compliance standards in insurance or financial services.
• Experience with real-time and streaming technologies such as Kafka, Event Hubs, and Delta Live Tables.
• Familiarity with lakehouse architecture and cost/performance optimization strategies.
• Experience operating in multi-cloud or hybrid cloud environments.

Posted On: 24-09-2026

At Coforge, we hire professionals solely based on their skills and qualifications, and we do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

 
 

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