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.