Lead Data Engineer — Snowflake & AWS Expert

Blend

Bogotá ciudad

Presencial

COP 130.788.000 - 186.840.000

Jornada completa

Hace 4 días
Sé de los primeros/as/es en solicitar esta vacante
Generador de candidaturas

Transforma esta oferta en una entrevista — un currículum y una carta de presentación creados pensando en lo que quiere el empleador.

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Ventajas ofrecidas por este puesto de trabajo

AWS Certifications
Databricks Courses
Snowflake Certifications
Udemy access
English lessons
Travel to conferences
Mentorship program
Flexible working

Descripción de la vacante

Blend is seeking a Lead Data Engineer to design and implement scalable Snowflake-based data platforms on AWS for a leading enterprise client. This client-facing leadership role combines deep technical excellence with strong communication to deliver governed, reliable data pipelines.

You will own end-to-end ELT pipelines, enforce data quality, apply Medallion Architecture, and mentor the team on best practices for data governance and pipeline reliability.

Formación

  • 5+ years of experience in Data Engineering.
  • Strong hands-on Snowflake experience.
  • Experience building ELT pipelines and data ingestion solutions.
  • Solid experience with SQL and large-scale data processing.
  • Strong understanding of Medallion Architecture (Bronze, Silver, Gold).
  • Experience building and maintaining data pipelines in AWS.
  • Experience with CI/CD pipelines for data workflows.
  • Experience with tools such as dbt, Glue, Athena, EMR, Lambda, Terraform, or CloudFormation.

Responsabilidades

  • Lead the design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.
  • Own the development of end-to-end ELT pipelines integrating multiple data sources.
  • Design and enforce data quality frameworks, including validation rules, testing strategies, and monitoring.
  • Apply and drive Medallion Architecture best practices across data pipelines.
  • Build and optimize data pipelines and architectures on AWS (S3, Glue, Lambda, EMR, etc.).
  • Develop and enhance data validation and ingestion frameworks, including UI components (Streamlit-based) when needed.
  • Act as a technical leader, guiding best practices in data engineering, governance, and pipeline reliability.
  • Proactively identify risks, bottlenecks, and data quality issues, and implement mitigation strategies.
  • Contribute to data governance initiatives, including data definitions, lineage, and stewardship practices.
  • Drive documentation and continuous improvement of data platform processes.

Conocimientos

5+ years Data Eng
Snowflake
ELT pipelines
SQL
Medallion Architecture
AWS data pipelines
CI/CD for data
Data governance

Herramientas

dbt
Glue
Athena
EMR
Lambda
Terraform
CloudFormation

Descripción del empleo

Blend is seeking a Lead Data Engineer to design and implement scalable Snowflake-based data platforms on AWS for a leading enterprise client. This client-facing leadership role combines deep technical excellence with strong communication to deliver governed, reliable data pipelines.

You will own end-to-end ELT pipelines, enforce data quality, apply Medallion Architecture, and mentor the team on best practices for data governance and pipeline reliability.

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