Lead Data Engineer
*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-6a05dcbd-c934-83e9-88e6-d230480f8a93-7" data-turn-id-container="request-6a05dcbd-c934-83e9-88e6-d230480f8a93-7" data-testid="conversation-turn-74" data-scroll-anchor="false" data-turn="assistant"> Job Title: Lead Data Engineer Key Skills: Azure Databricks, DBT, Snowflake, Terraform, SQL, ETL/ELT, Azure, CI/CD, Data Migration, Data Architecture Experience: +8 YOE. Location: Peru Mode: Remote. We at Coforge are hiring Lead Data Engineer (#20627) with the following skill set.
Key Responsibilities
Lead and mentor a team of data engineers, providing technical guidance, code reviews, and engineering best practices to ensure scalable and high-quality data solutions. Own and drive end-to-end data migration initiatives from Snowflake on AWS to Azure Databricks and DBT, including planning, execution, optimization, and risk mitigation. Design, implement, and oversee scalable, secure, and reliable data pipelines, cloud infrastructure, and ETL/ELT frameworks using Azure, Databricks, DBT, and Terraform. Collaborate with cross-functional stakeholders to define data architecture standards, governance, CI/CD practices, and long-term platform strategies aligned with business objectives. Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Engineering, or equivalent practical experience. 8+ years of experience in Data Engineering, including 2–3 years in a leadership or technical lead role. Proven experience leading data engineering teams and delivering enterprise-scale data platform initiatives. Strong hands-on expertise with Snowflake, Azure Databricks, and DBT. Deep experience with cloud infrastructure, Terraform, and infrastructure-as-code best practices. Strong experience delivering cloud migration projects, preferably from AWS to Azure environments. Advanced SQL proficiency with strong expertise in data modeling and ETL/ELT architecture patterns. Experience with CI/CD pipelines, Git-based version control, and modern software engineering workflows. Strong understanding of scalable data architecture, performance optimization, governance, and platform reliability. Mandatory experience in the insurance industry, including familiarity with insurance data domains such as policies, claims, underwriting, and related processes. Preferred Skills: Experience with data governance frameworks including data lineage, cataloging, observability, and quality tooling. Familiarity with streaming and real-time processing technologies such as Kafka, Event Hubs, or Delta Live Tables. Experience designing lakehouse architectures and implementing cost optimization strategies. Exposure to multi-cloud environments, security/compliance standards, and advanced automation practices. Posted On: 14-05-2026 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. Apply To This Job