Data Engineering Manager: Lead Scalable Data Platforms

Blend; Municipio de Esquel; Híbrido; ARS 88.483.829 - 176.967.658; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working options

Company-provided equipment

Career development plans

Learning resources

Mentorship programs

Descripción de la vacante

Blend is seeking a Senior Data Engineer Lead to design and scale data platforms supporting Journey Analytics. You will lead a team of data engineers, set technical direction, and ensure scalable, high-quality data pipelines and models for analytics and reporting.

The role blends hands-on engineering with people leadership in a cross-functional environment. You will champion reusable components, automate pipelines in Databricks, and drive governance and performance improvements across data

Formación

• 7+ years of experience in data engineering.
• Experience with GitHub repos and version control workflows.
• Hands-on data pipelines development in Databricks.
• Proven refactoring of legacy codebases.
• Strong data modeling and reusable component design.
• Experience building scalable data models for analytics and reporting use cases.
• Focus on data quality, performance, and reliability.
• Ability to work cross-functionally and own initiatives.
• Experience using Genie (Databricks) is a plus.

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 workflows

Databricks

Legacy refactoring

Data modeling

Analytics data models

Data quality

Cross-functional collaboration

Independent ownership

Genie (Databricks) experience

Herramientas

GitHub

Databricks

Snowflake

AWS

Descripción del empleo

Blend is seeking a Senior Data Engineer Lead to design and scale data platforms supporting Journey Analytics. You will lead a team of data engineers, set technical direction, and ensure scalable, high-quality data pipelines and models for analytics and reporting.

The role blends hands-on engineering with people leadership in a cross-functional environment. You will champion reusable components, automate pipelines in Databricks, and drive governance and performance improvements across data