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 documentation, architectural decisions, and implementation standards.

Mandatory

Requirements - 8+ years of experience in Data Engineering, Software Engineering, or related technical roles.

- At least 3 years of experience leading engineering teams, including senior, mid-level, and junior professionals.
- Strong backend development experience with proven delivery of production-grade REST APIs and backend services.
- Expert-level programming skills in Python, including strong object-oriented programming (OOP) principles.
- Extensive experience with PyTest, unit testing, automated testing frameworks, and software quality practices.
- Strong hands-on experience with Azure Databricks and DBT.
- Advanced SQL skills and experience building scalable data solutions.
- Deep understanding of data modeling, dimensional modeling, and consumption-oriented data architectures.
- Extensive experience with Terraform and Infrastructure as Code (IaC) deployments.




- Experience designing and delivering low-latency data products, serving layers, or API-driven data solutions.
- Strong knowledge of CI/CD pipelines, Git-based version control, and modern software engineering practices.
- Proven ability to lead technical delivery while remaining hands-on with architecture, development, and code reviews.
- Excellent communication and stakeholder management skills, with the ability to work effectively across technical and business teams.

Preferred

Requirements - Experience within insurance, financial services, or other highly regulated industries.

- Knowledge of insurance concepts such as policy administration, claims, underwriting, and customer data.
- Experience with Snowflake and Snowflake-to-Databricks integration or migration patterns.
- Hands-on experience with Azure AI Search, Lakebase, feature stores, or similar low-latency serving technologies.
- Experience with streaming and real-time data technologies such as Kafka, Event Hubs, or Delta Live Tables.
- Experience implementing data governance, security, and compliance frameworks.
- Experience managing large-scale DBT environments and terabyte-scale data pipelines.
- Experience leading cloud migration initiatives, particularly AWS-to-Azure migrations.
- Familiarity with machine learning platforms and collaboration with ML engineering teams.

Published on: 25-08-2026 At Coforge, we hire professionals solely based on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

📌 Lead Data Engineer (DBT, Databricks, Azure) (Bogotá)
🏢 Encora
📍 Bogotá