Data Platform Lead — Journey Analytics & Pipelines

Blend; Santiago; Hybrid; CLP 42,000,000 - 56,000,000; Full time

Benefits offered by this job

AWS Certifications

Databricks

Snowflake

Udemy Business

English Lessons

Travel Opportunities

Career Development

Equipment Provided

Flexible Working

Job summary

Blend is seeking a senior data engineering leader to design, scale, and maintain data platforms for Journey Analytics. You will lead a team of data engineers, set technical direction, and ensure reliable, scalable data pipelines across analytics and reporting use cases.

The ideal candidate brings hands-on Databricks experience, strong data modeling skills, and a track record of refactoring legacy code to improve maintainability and performance. Join a flexible, LATAM-friendly environment.

Qualifications

• 7+ years of experience in Data Engineering.
• Strong experience working with GitHub repositories and version control workflows.
• Hands-on experience developing and maintaining data pipelines in Databricks.
• Proven experience refactoring and maintaining legacy codebases.
• Strong understanding of data modeling and reusable component design.
• Experience building scalable data models for analytics and reporting use cases.
• Strong focus on data quality, performance, and reliability.
• Ability to work in cross-functional environments and take ownership with minimal supervision.

Responsibilities

• Lead and mentor a team of data engineers, fostering best practices in coding, architecture, and data engineering standards.
• Define and drive the technical strategy for Journey Analytics data platforms, ensuring scalability, maintainability, and performance.
• Oversee the maintenance, optimization, and automation of code repositories in GitHub, ensuring high-quality and consistent development practices.
• Guide the refactoring of legacy codebases to improve maintainability, scalability, and reusability across multiple use cases.
• Drive the design and implementation of modular, reusable data components to support multiple journeys and reduce duplication.
• Oversee the development and management of automated data pipelines in Databricks, ensuring reliability and scalability for downstream consumption.
• Establish and enforce standards for scalable data modeling to support current and future analytics use cases.
• Ensure data quality, governance, performance, and reliability across all data pipelines and datasets.
• Partner with analytics, product, and engineering stakeholders to align data solutions with business needs and priorities.
• Proactively identify risks, bottlenecks, and improvement opportunities, and drive mitigation strategies at a team and platform level.
• Promote continuous improvement of data processes, documentation, and engineering practices.

Skills

Data Engineering

GitHub

Databricks

Team Leadership

Data Modeling

Tools

Genie (Databricks)

GitHub Repos

Job description

Blend is seeking a senior data engineering leader to design, scale, and maintain data platforms for Journey Analytics. You will lead a team of data engineers, set technical direction, and ensure reliable, scalable data pipelines across analytics and reporting use cases.

The ideal candidate brings hands-on Databricks experience, strong data modeling skills, and a track record of refactoring legacy code to improve maintainability and performance. Join a flexible, LATAM-friendly environment.