Data Engineering Lead

Blend; Bogotá; Presencial; COP 302.286.038 - 453.429.057; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Certificaciones en AWS, Databricks, y Snowflake

Oportunidades de viaje

Planes de desarrollo profesional

Celebraciones para cumpleaños y aniversarios

Equipo proporcionado por la empresa

Opciones de trabajo flexible

Descripción de la vacante

Blend está buscando un Lead Data Engineer en Bogotá, Colombia. Este rol implica diseñar e implementar soluciones de ingestión y validación escalables. Se requiere experiencia en Snowflake y AWS, junto con habilidades de comunicación. El candidato liderará el desarrollo de pipelines ELT y asegurará la calidad de datos mediante diversas metodologías, incluyendo la Arquitectura Medallion. Se ofrecen oportunidades de aprendizaje y desarrollo, así como un entorno de trabajo flexible.

Formación

• 4+ años de experiencia en Ingeniería de Datos.
• Fuertes conocimientos prácticos en Snowflake (Obligatorio).
• Experiencia en construir soluciones de ingestión de datos.

Responsabilidades

• Liderar el diseño e implementación de arquitecturas de ingestión de datos en Snowflake.
• Desarrollar pipelines ELT de extremo a extremo.
• Diseñar y hacer cumplir marcos de calidad de datos.

Conocimientos

Snowflake

SQL

Medallion Architecture

Data Engineering

AWS

Data Quality

CI/CD

Herramientas

dbt

Glue

Athena

EMR

Lambda

Terraform

CloudFormation

Descripción del empleo

Job Description

Blendis is hiring a Lead Data Engineer to design and implement scalable ingestion and validation solutions for a leading enterprise client. This client‑facing leadership role requires strong technical expertise in Snowflake-based data platforms, modern data architectures, and AWS, combined with excellent communication skills and a proactive mindset.

Responsibilities

• 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 (Bronze, Silver, Gold) 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 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.
• Document and continuously improve data platform processes.

Qualifications

• 4+ years of experience in Data Engineering.
• Strong hands‑on experience with Snowflake (Must).
• Experience building ELT pipelines and data ingestion solutions.
• Solid experience with SQL and large‑scale data processing.
• Strong understanding and hands‑on experience with Medallion Architecture (Must).
• Experience building and maintaining data pipelines in AWS (Plus).
• Experience with data quality, validation frameworks, and governance practices.
• Familiarity with Snowflake Cortex (Plus).
• Experience with CI/CD pipelines for data workflows (Plus).
• Experience with Iceberg tables and Snowflake data sharing (Plus).
• Experience with tools such as dbt, Glue, Athena, EMR, Lambda, Terraform, or CloudFormation (Plus).

Key Competencies

• Strong communication skills – ability to work directly with clients and cross‑functional teams.
• Client‑facing mindset – comfortable engaging with stakeholders and driving discussions.
• Proactiveness – ability to anticipate issues and act before they become blockers.
• Ownership & leadership – ability to lead initiatives and influence technical decisions.
• Analytical thinking & problem‑solving.

Benefits

• Learning Opportunities: Certifications in AWS, Databricks, and Snowflake; AI learning paths; study plans and additional certifications tailored to your role; access to Udemy Business; English lessons.
• Travel Opportunities to attend industry conferences and meet clients.
• Mentoring and Development: Career development plans and mentorship programs.
• Celebrations & Support: Special day rewards for birthdays, work anniversaries, and other personal milestones.
• Company‑provided equipment.
• Flexible working options.