Databricks Data Engineering Manager: AI-Driven Analytics

Blend360; Santiago; Presencial; CLP 60.000.000 - 110.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS Certifications

Databricks Certification

Snowflake Certification

Udemy Business

English lessons

Travel opportunities

Mentoring program

Flexible working

Company-provided equipment

Descripción de la vacante

Blend360 is seeking a Data Engineering Manager to design and maintain KPI models using Databricks Metric Views and to build robust data pipelines for AI-driven analytics. You will partner with business owners to translate KPI needs into scalable data models and governance practices, ensuring data quality and security across enterprise systems.

You will work with AI engineers and analysts to align data structures with evolving business ontologies, guiding production deployments and knowledge

Formación

• 7+ years of data engineering experience with KPI/semantic modeling.
• Hands-on Databricks Metric Views or equivalent semantic layer tooling.
• Advanced SQL and Python for data processing, transformation, and pipeline development.
• Solid understanding of cloud data platforms, specifically Azure Databricks, and modern ELT/ETL tooling.
• Demonstrated expertise in data modeling techniques, conformed dimensions, and Medallion-style architectures.
• Experience profiling data quality, lineage, and reconciliation across multiple source systems.
• Comfort working with business stakeholders to translate KPI requirements into data models.

Responsabilidades

• Design, build, and maintain semantic layers and KPI models using Databricks Metric Views for executive scorecards and analytics.
• Profile source data quality, ownership, data grain, and reconciliation across enterprise systems.
• Create data integration pipelines that prepare data for AI narratives and conversational analytics.
• Define conformed dimensions and market-specific variations for multi-market reporting.
• Collaborate with Business Analysts and AI Engineers to align KPI definitions with data structures.
• Enforce data quality, validation, and monitoring across data assets feeding analytics apps.
• Lead documentation and knowledge transfer at end of each delivery phase.
• Support production readiness and deployment to production environments.

Conocimientos

Databricks Metric Views

SQL

Python

Data Modeling

Conformed Dimensions

ELT/ETL Tooling

Azure Databricks

KPI/Metric Modeling

Data Quality Profiling

Git

AI/LLM Analytics

Stakeholder Collaboration

Herramientas

Databricks

Snowflake

Azure

Descripción del empleo

Blend360 is seeking a Data Engineering Manager to design and maintain KPI models using Databricks Metric Views and to build robust data pipelines for AI-driven analytics. You will partner with business owners to translate KPI needs into scalable data models and governance practices, ensuring data quality and security across enterprise systems.

You will work with AI engineers and analysts to align data structures with evolving business ontologies, guiding production deployments and knowledge