Data Engineering Manager, Databricks & AI Analytics

Blend; Santiago; Híbrido; CLP 9.000.000 - 15.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS Certifications

Databricks certification

Udemy access

English lessons

Descripción de la vacante

Blend seeks a Data Engineering Manager to lead the design and delivery of semantic layers and KPI models using Databricks, enabling governed analytics and AI-driven narratives. You will partner with business owners and analytics teams to translate KPI requirements into scalable data models and robust pipelines.

Lead data quality, governance, and multi-market reporting across enterprise sources, leveraging Azure Databricks and modern ELT tooling.

Formación

• 7+ years experience in Data Engineering or equivalent with KPI/semantic modeling focus.
• Hands-on with Databricks Metric Views or similar semantic layer tooling.
• Proficient in SQL and Python for data processing and pipelines.
• Strong understanding of cloud data platforms (Azure Databricks) and ELT/ETL tooling.
• Experience in conformed dimensions, data modeling, and multi-source integration.

Responsabilidades

• Design, build, and maintain semantic layers and KPI models using Databricks Metric Views for governed executive scorecards and AI-powered analytics.
• Collaborate with business owners to translate KPI requirements into reusable data models and logic.
• Profile data quality, lineage, and reconciliation across enterprise data sources.
• Develop data integration and transformation pipelines prepping data for AI narratives and conversational analytics.
• Define conformed dimensions and market-specific data variations for multi-market reporting.
• Work with Analysts and AI Engineers to align KPI definitions with data structures.

Conocimientos

KPI modeling

Semantic layer

SQL

Python

Data pipelines

Stakeholder collaboration

Git

Herramientas

Databricks

Azure Databricks

ETL tooling

Git version control

Descripción del empleo

Blend seeks a Data Engineering Manager to lead the design and delivery of semantic layers and KPI models using Databricks, enabling governed analytics and AI-driven narratives. You will partner with business owners and analytics teams to translate KPI requirements into scalable data models and robust pipelines.

Lead data quality, governance, and multi-market reporting across enterprise sources, leveraging Azure Databricks and modern ELT tooling.