Lead Data Engineer - Snowflake & Data Pipelines

Blend; Bogotá; On-site; COP 110,000,000 - 190,000,000; Full time

Benefits offered by this job

AWS Certifications

Databricks access

Snowflake certifications

Udemy Business access

English lessons

Job summary

Blend is seeking a Lead Data Engineer to design, develop, and optimize data solutions for a high-impact enterprise initiative. You will prepare Snowflake data for a Dataiku PO agent POC and ensure scalable, reliable pipelines across multiple sources.

The role requires strong Snowflake experience, SQL proficiency, data modeling, and data quality validation. You will collaborate with business and technical stakeholders to deliver trusted datasets and robust data processes.

Qualifications

• 5+ years of experience in Data Engineering or Data Analytics roles with a strong engineering focus.
• Strong hands-on experience with Snowflake (must-have).
• Strong SQL skills, including data transformation, querying, and validation.
• Experience with data modeling and preparing datasets for analytical and downstream applications.
• Proven experience in data quality validation, including implementing checks to ensure accuracy, consistency, and completeness.
• Experience building and maintaining ETL pipelines and data ingestion workflows.
• Hands-on experience with Python for data processing and transformation.
• Strong attention to detail and a focus on data reliability and quality.
• Ability to collaborate effectively with technical and business stakeholders.

Responsibilities

• Prepare, structure, and enable Snowflake data for the Dataiku PO agent POC.
• Design, develop, and maintain data pipelines to ingest, transform, normalize, and prepare data from multiple sources.
• Implement data ingestion workflows in Snowflake with scalability and reliability in mind.
• Develop and maintain data models to support analytical use cases and the POC requirements.
• Implement data quality checks and validation rules to ensure data accuracy and completeness.
• Use SQL and Python to process large datasets efficiently.
• Identify and resolve data inconsistencies and structural issues impacting downstream consumption.
• Support ETL processes and file-handling workflows for structured and semi-structured data.
• Collaborate with stakeholders to translate data requirements into reliable data solutions.
• Contribute to documentation and continuously improve data processes and validation practices.

Skills

Data Engineering

SQL

Python

Data modeling

Data quality validation

ETL pipelines

Tools

Snowflake

Dataiku

AWS

Job description

Blend is seeking a Lead Data Engineer to design, develop, and optimize data solutions for a high-impact enterprise initiative. You will prepare Snowflake data for a Dataiku PO agent POC and ensure scalable, reliable pipelines across multiple sources.

The role requires strong Snowflake experience, SQL proficiency, data modeling, and data quality validation. You will collaborate with business and technical stakeholders to deliver trusted datasets and robust data processes.