Data Platform Lead — Journey Analytics & Pipelines

Blend; Santiago; Híbrido; CLP 42.000.000 - 56.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS Certifications

Databricks

Snowflake

Udemy Business

English Lessons

Travel Opportunities

Career Development

Equipment Provided

Flexible Working

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Data Engineering

GitHub

Databricks

Team Leadership

Data Modeling

Herramientas

Genie (Databricks)

GitHub Repos

Descripción del empleo

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.