Databricks Data Engineering Manager: KPI & AI Pipelines

Blend360; Bogotá; Presencial; COP 288.000.000 - 576.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Christmas kit

1 day off for academic graduation

Family Day

Savings incentive program

Forgivable education loans

Descripción de la vacante

Blend360, a premier AI services provider, is seeking a Data Engineering Manager in Bogotá to lead semantic layer and KPI modeling efforts that underpin AI-powered analytics. You will collaborate with business owners, data scientists, and engineers to define data requirements, build robust ETL pipelines, ensure data quality and governance, and scale data platforms for multi-market reporting.

Join a team that values innovation, mentorship, and impact, with strong career growth and competitive

Formación

• 7+ years of experience in Data Engineering with KPI/semantic modeling.
• Experience building semantic layers and KPI models.

Responsabilidades

• Design, build, and maintain semantic layers and KPI models using Databricks Metric Views.
• Translate KPI requirements into reusable data models and logic.
• Profile data quality, ownership, and data grain across source systems.
• Design and implement data integration pipelines for analytics and narratives.
• Define conformed dimensions for multi-market reporting.
• Collaborate with analysts and AI engineers to align KPI definitions with data structures.
• Establish data quality, validation, and governance frameworks.
• Lead documentation and knowledge transfer after each delivery phase.
• Support production readiness and deployment to production environments.

Conocimientos

Databricks

SQL

Python

Data modeling

KPI/metric modeling

ELT/ETL tooling

Git

Azure Databricks

Stakeholder collaboration

Herramientas

Databricks Metric Views

Descripción del empleo

Blend360, a premier AI services provider, is seeking a Data Engineering Manager in Bogotá to lead semantic layer and KPI modeling efforts that underpin AI-powered analytics. You will collaborate with business owners, data scientists, and engineers to define data requirements, build robust ETL pipelines, ensure data quality and governance, and scale data platforms for multi-market reporting.

Join a team that values innovation, mentorship, and impact, with strong career growth and competitive