Data Engineering Manager: Databricks & AI Analytics Lead

Blend; Lo Barnechea; Híbrido; CLP 42.000.000 - 62.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS Certifications

Databricks Certification

Snowflake Knowledge

Udemy Access

English lessons

Descripción de la vacante

Blend is seeking a Data Engineering Manager to design and maintain semantic layers and KPI models using Databricks Metric Views to underpin governed executive scorecards and AI-powered analytical solutions.

You will work with business owners to define KPI requirements, translate them into reusable data models and logic, and ensure data quality, governance, and secure access across enterprise data assets. This role supports multi-market reporting and AI-enabled insights.

Formación

• 7+ years of experience in Data Engineering, with KPI/semantic modeling expertise.
• Strong SQL and Python skills for data processing and pipelines.
• Experience with Databricks Metric Views or equivalent semantic tooling.
• Cloud data platforms knowledge, especially Azure Databricks, and ELT/ETL tooling.
• Experience profiling data quality, lineage, and reconciliation across sources.
• Familiarity with AI/LLM analytics support and feature prep.

Responsabilidades

• Design, build, and maintain semantic layers and KPI models using Databricks Metric Views.
• Collaborate with business owners to translate KPI requirements into data models and logic.
• Profile data quality, lineage, and data grain across enterprise sources.
• Create data integration and transformation pipelines for AI-generated narratives.
• Define conformed dimensions and market-specific data variations for multi-market reporting.
• Ensure data quality, validation, and monitoring across data assets.

Conocimientos

Databricks

SQL

Python

Azure Databricks

Data Modeling

Git

Herramientas

Databricks Metric Views

Descripción del empleo

Blend is seeking a Data Engineering Manager to design and maintain semantic layers and KPI models using Databricks Metric Views to underpin governed executive scorecards and AI-powered analytical solutions.

You will work with business owners to define KPI requirements, translate them into reusable data models and logic, and ensure data quality, governance, and secure access across enterprise data assets. This role supports multi-market reporting and AI-enabled insights.