Remote Lead Data Engineer — Azure Databricks & Snowflake

Encora Inc.

Bogotá

Presencial

COP 376.530.000 - 533.417.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Coforge is seeking a Lead Data Engineer to drive the design and delivery of enterprise data platforms. You will mentor a team of engineers and own end-to-end architecture for scalable cloud data solutions.

The role requires 8+ years in data engineering, hands-on Azure Databricks, DBT, Snowflake, Python, SQL, and Terraform, plus experience with data migration, CI/CD, and strong stakeholder management. Remote across LATAM.

Formación

  • 8+ years of experience in Data Engineering and 2-3+ years in a Lead or Staff-level role.
  • Experience designing large-scale enterprise data platforms.
  • Hands-on with Azure Databricks, DBT, Snowflake, Python, and SQL.
  • Experience delivering large-scale data transformation programs involving thousands of DBT models and data pipelines processing terabytes of data daily.
  • Deep understanding of data architecture, data modeling, ETL/ELT frameworks, and distributed data systems.
  • Extensive experience with Terraform and Infrastructure as Code (IaC) principles.
  • Experience leading cloud migration initiatives, preferably from AWS to Azure.
  • Strong experience with Git-based version control and CI/CD pipelines.
  • Strong analytical and problem-solving skills with the ability to make architectural decisions and trade-offs.
  • Excellent communication and stakeholder management skills.
  • Experience working in insurance or financial services environments, including domains such as claims, underwriting, policies, and risk management.
  • Experience leading engineering teams and demonstrating measurable delivery success.
  • Experience managing and mentoring team members across different performance levels, driving growth, development, and continuous improvement.

Responsabilidades

  • Lead and mentor a team of Data Engineers, driving technical excellence, code quality, and engineering best practices.
  • Own the end-to-end architecture and design of the data platform, ensuring scalability, reliability, and alignment with business objectives.
  • Take full ownership of solution delivery, from architecture and design to deployment and production support.
  • Define and drive data migration strategies from Snowflake and SSIS to Azure Databricks and DBT.
  • Design and oversee the implementation of scalable data pipelines, data models, and enterprise data solutions.
  • Lead Infrastructure as Code initiatives using Terraform to ensure consistency, automation, and scalability across environments.
  • Establish architectural standards, design patterns, and governance practices across the data ecosystem.
  • Ensure reliable and efficient integration between legacy platforms and Azure-based environments.
  • Drive CI/CD adoption and oversee release management processes for data platforms and pipelines.
  • Act as the primary technical escalation point for complex issues and long-term platform stability.
  • Collaborate closely with product, architecture, business, and engineering stakeholders to deliver enterprise-grade solutions.
  • Maintain architecture documentation, design standards, and implementation guidelines.

Conocimientos

Azure Databricks
DBT
Snowflake
Python
Terraform
Data Architecture

Herramientas

Terraform

Descripción del empleo

Coforge is seeking a Lead Data Engineer to drive the design and delivery of enterprise data platforms. You will mentor a team of engineers and own end-to-end architecture for scalable cloud data solutions.

The role requires 8+ years in data engineering, hands-on Azure Databricks, DBT, Snowflake, Python, SQL, and Terraform, plus experience with data migration, CI/CD, and strong stakeholder management. Remote across LATAM.

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