Job Title: Lead Data Engineer (DBT, Databricks, Azure)
Key Skills: Python, REST APIs, Azure Databricks, DBT, SQL, Terraform, Data Engineering, Data Modeling, CI/CD, Team Leadership
Experience: 8+ years of experience.
Location: Open to candidates across LATAM.
At Coforge, we are looking for a Lead Data Engineer (#22145) with the following profile.
Responsibilities
- Lead the RTS delivery squad and own the end-to-end delivery of strategic data products within a modern cloud data platform.
- Design and oversee the architecture of low-latency, API-driven data solutions, from backend data models through serving layers and API consumption.
- Build and maintain scalable backend services and REST APIs using Python and object-oriented programming principles.
- Design, develop, and optimize data pipelines using Azure Databricks, DBT, SQL, and cloud-native technologies.
- Own the architecture and implementation of curated data layers, ensuring high availability, scalability, and performance.
- Evaluate, select,
and implement technologies for low-latency data serving and API consumption.
- Lead infrastructure deployment and management using Terraform and Infrastructure as Code (IaC) practices.
- Mentor and develop a team of data and machine learning engineers, providing technical guidance, coaching, and career development support.
- Conduct code reviews and establish engineering standards, development best practices, and architectural guidelines.
- Collaborate with Product, Engineering, Business, and Project stakeholders to define technical solutions and delivery roadmaps.
- Ensure data quality, observability, monitoring, alerting, and SLA compliance across all data products and services.
- Drive CI/CD adoption and oversee release management processes for pipelines, services, and platform components.
- Act as the primary technical escalation point for troubleshooting complex production issues and ensuring long-term platform stability.
- Maintain comprehensive technical doc
📌 Lead Data Engineer (Bogotá)
🏢 Encora
📍 Bogotá