Data Engineering Lead (Snowflake)

TL;DR

Data Engineering Lead (Snowflake/AWS): Designing and implementing scalable data ingestion and validation solutions for enterprise clients with an accent on Snowflake-based platforms and modern data architectures. Focus on building end-to-end ELT pipelines, enforcing Medallion Architecture best practices, and ensuring high-quality data governance.

Location: Bogotá, Colombia (Flexible working options mentioned)

Company

Premier AI services provider focused on co-creating impact through data science, AI, and technology.

What you will do

• Lead the design and implementation of scalable data ingestion architectures in Snowflake.
• Develop end-to-end ELT pipelines integrating multiple data sources.
• Design and enforce data quality frameworks, including validation rules, testing strategies, and monitoring.
• Drive the application of Medallion Architecture (Bronze, Silver, Gold) best practices across data pipelines.
• Build and optimize data pipelines and architectures on AWS using S3, Glue, Lambda, and EMR.
• Act as a technical leader and client-facing point of contact to identify risks and implement mitigation strategies.

Requirements

• 4+ years of experience in Data Engineering with a lead mindset.
• Strong hands-on experience with Snowflake (Must).
• Strong understanding and experience with Medallion Architecture (Must).
• Solid proficiency in SQL and large-scale data processing.
• Experience building and maintaining data pipelines in AWS.
• Strong communication skills and a client-facing mindset for stakeholder engagement.

Nice to have

• Familiarity with Snowflake Cortex.
• Experience with Iceberg tables and Snowflake data sharing.
• Knowledge of dbt, Glue, Athena, EMR, Lambda, Terraform, or CloudFormation.
• Experience with CI/CD pipelines for data workflows.

Culture & Benefits

• Certifications in AWS, Databricks, and Snowflake, plus access to AI learning paths.
• Professional development via Udemy Business, study plans, and English lessons.
• Career development plans and structured mentorship programs.
• Travel opportunities to attend industry conferences and meet clients.
• Flexible working options and company-provided equipment.