Lead Data Engineer

Job Title: Lead Data Engineer Key Skills: Azure Databricks, Snowflake, DBT, Python, SQL, Terraform, Data Architecture, ETL/ELT, Data Migration, CI/CD, Data Modeling Experience: 8+ YOE. Location: Costa Rica, Peru, Colombia, 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, setting technical direction, conducting code reviews, and driving engineering excellence across the data ecosystem. - Own the end-to-end architecture, design, and implementation of scalable data platforms, pipelines, and data models, ensuring reliable and production-ready solutions. - Define and lead data migration strategies from Snowflake/SSIS to Azure Databricks and DBT, including architecture decisions, cloud integration, data quality, and observability. - Drive Infrastructure as Code with Terraform, CI/CD adoption, architectural standards, troubleshooting, and collaboration with data, product, architecture, and business stakeholders. Required Skills & Qualifications - 8+ years of Data Engineering experience, including 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, Python, and advanced SQL. - Experience with large-scale data transformations involving thousands of DBT models and pipelines processing terabytes of data daily. - Deep understanding of data architecture, data modeling, distributed data systems, and ETL/ELT frameworks. - Extensive experience with Terraform, Infrastructure as Code, CI/CD pipelines, and Git-based version control. - Experience leading cloud-to-cloud data migration projects, preferably from AWS to Azure. - Previous experience in insurance or financial services, with knowledge of domains such as claims, policies, underwriting, and risk. - Proven experience leading and developing engineering teams, including mentoring, training, and managing different performance levels. - Strong problem-solving, architectural decision-making, communication, and stakeholder management skills. Preferred Skills: - Experience implementing data governance, observability, and data quality frameworks. - Strong knowledge of security and compliance standards within insurance or financial services. - Experience with Kafka, Event Hubs, Delta Live Tables, or other real-time and streaming technologies. - Familiarity with lakehouse architectures and cost/performance optimization strategies. - Experience working in multi-cloud or hybrid cloud environments. Posted On: 12-10-2026 At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.