Lead Data Engineer
Encora10
Posted: May 8, 2026
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Quick Summary
Lead Data Engineer with expertise in Snowflake, Azure Databricks and DBT, responsible for leading a team and driving migration strategy.
Required Skills
Job Description
Job Title: Lead Data Engineer
Key Skills: Snowflake, Azure Databricks, DBT, Terraform, SQL, ETL/ELT, Azure Cloud, CI/CD, Data Migration, Data Architecture
Experience: +8 YOE.
Location Peru
Mode: Remote
We at Coforge are hiring Position (#20978) with the following skill set.
Key Responsibilities
• Lead and mentor a team of data engineers, ensuring best practices and high-quality deliverables.
• Own and drive the end-to-end migration strategy from Snowflake on AWS to Azure Databricks and DBT.
• Architect and oversee scalable, secure, and reliable data pipelines and infrastructure in Azure.
• Design and implement Infrastructure-as-Code solutions using Terraform and manage CI/CD workflows.
• Collaborate with cross-functional stakeholders to align data initiatives with business and technical goals.
Required Skills & Qualifications
• 8+ years of experience in Data Engineering, including leadership or technical lead experience.
• Strong hands-on expertise with Snowflake, Azure Databricks, and DBT.
• Deep experience with Terraform and cloud infrastructure automation.
• Proven experience leading large-scale cloud data migration projects, preferably AWS to Azure.
• Advanced proficiency in SQL, data modeling, and ETL/ELT frameworks.
• Strong understanding of scalable data architecture and performance optimization.
• Experience with CI/CD pipelines and Git-based version control.
• Mandatory experience within the insurance industry and knowledge of insurance data domains.
• Excellent communication, stakeholder management, and leadership skills.
• Ability to work effectively in fast-paced and collaborative environments.
Preferred Skills:
• Experience with data governance and observability frameworks.
• Knowledge of security and compliance standards related to insurance or financial data.
• Familiarity with Kafka, Event Hubs, or real-time data processing solutions.
• Experience designing lakehouse architectures and cost-optimization strategies.
• Exposure to multi-cloud environments and advanced automation practices.
Posted On: 8-05-26
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.