Data Engineering Lead

Blend360

Lead Data Engineer driving scalable data ingestion architectures in Snowflake for a leading enterprise client. Combining technical expertise with strong communication skills in a client-facing role.

Posted 5/13/2026full-timeRemote • 🇨🇴 ColombiaSeniorWebsite

Tech Stack

Tools & technologies

AWSSQLTerraform

About the role

Key responsibilities & impact

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 (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 before they impact delivery.
Contribute to data governance initiatives , including data definitions, lineage, and stewardship practices.
Drive documentation and continuous improvement of data platform processes.

Requirements

What you’ll need

4+ years of experience in Data Engineering (strong senior-level or lead mindset expected).
Strong hands-on experience with Snowflake (Must).
Strong 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).

Benefits

Comp & perks

Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans, courses, and additional certifications tailored to your role.
Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
Travel opportunities to attend industry conferences and meet clients.
Mentoring and Development: Career development plans and mentorship programs to help shape your path.
Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
Company-provided equipment.
Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata ingestionELT pipelinesSQLdata qualityvalidation frameworksMedallion Architecturedata governanceCI/CD pipelineslarge-scale data processing

Soft Skills

technical leadershiprisk identificationproblem-solvingcommunicationcontinuous improvement