Lead Data Engineer

Job Title: Lead Data Engineer Key Skills: Azure Databricks, DBT, Snowflake, Python, Terraform, Data Architecture Experience: 8+ YOE. Location: Costa Rica, Peru, Colombia, and Bolivia. Mode: Remote.

We at Coforge are hiring Lead Data Engineer (#22145) with the following skill set.

Key Responsibilities · Lead and mentor a team of Data Engineers, driving technical excellence, code quality, and engineering best practices. · Own the end-to-end architecture and design of the data platform, ensuring scalability, reliability, and alignment with business objectives. · Take full ownership of solution delivery, from architecture and design to deployment and production support. · Define and drive data migration strategies from Snowflake and SSIS to Azure Databricks and DBT. · Design and oversee the implementation of scalable data pipelines, data models, and enterprise data solutions. · Lead Infrastructure as Code initiatives using Terraform to ensure consistency, automation, and scalability across environments. · Establish architectural standards, design patterns, and governance practices across the data ecosystem. · Ensure reliable and efficient integration between legacy platforms and Azure-based environments. · Drive CI/CD adoption and oversee release management processes for data platforms and pipelines. · Act as the primary technical escalation point for complex issues and long-term platform stability. · Collaborate closely with product, architecture, business, and engineering stakeholders to deliver enterprise-grade solutions. · Maintain architecture documentation, design standards, and implementation guidelines.

Required Skills & Qualifications · 8+ years of experience in Data Engineering, including 2-3+ years in a Lead or Staff-level role. · Proven experience leading the design and implementation of large-scale enterprise data platforms. · Strong hands-on expertise with Azure Databricks, DBT, Snowflake, Python, and SQL. · Experience delivering large-scale data transformation programs involving thousands of DBT models and data pipelines processing terabytes of data daily. · Deep understanding of data architecture, data modeling, ETL/ELT frameworks, and distributed data systems. · Extensive experience with Terraform and Infrastructure as Code (IaC) principles. · Experience leading cloud migration initiatives, preferably from AWS to Azure. · Strong experience with Git-based version control and CI/CD pipelines. · Strong analytical and problem-solving skills with the ability to make architectural decisions and trade-offs. · Excellent communication and stakeholder management skills. · Experience working in insurance or financial services environments, including domains such as claims, underwriting, policies, and risk management. · Experience leading engineering teams and demonstrating measurable delivery success. · Experience managing and mentoring team members across different performance levels, driving growth, development, and continuous improvement.

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

Posted On: 14-08-2026

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