Lead Data Engineer

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.