Databricks Data Engineering Manager: KPI & AI Pipelines

Blend360; Buenos Aires; Híbrido; ARS 104.209.000 - 163.756.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS Certification

Databricks Certification

Snowflake Certification

AI learning paths

Udemy Business access

English lessons

Travel opportunities

Mentorship programs

Company equipment

Flexible working options

Descripción de la vacante

Blend360 is seeking a Data Engineering Manager to design and govern KPI-driven data platforms. You will build semantic layers and KPI models, translate business KPI needs into scalable data structures, and collaborate across teams to ensure data quality in multi-market environments.

Ideal candidates have 7+ years in data engineering, strong SQL/Python, and hands-on Databricks experience. This role supports flexible LATAM work arrangements and career growth in AI-enabled analytics.

Formación

• 7+ years in Data Engineering with semantic modeling and KPI development.
• Hands-on with Databricks Metric Views or similar semantic/metric layer tooling.
• Advanced SQL and Python for data processing, transformation, and pipelines.
• Experience with Azure Databricks and ELT/ETL tooling.
• Knowledge of conformed dimensions and Medallion architectures.
• Experience profiling data quality, lineage, and reconciliation across sources.
• Ability to gather, validate, and implement KPI requirements with business stakeholders.
• Understanding of business ontology and semantic modeling concepts.
• Familiarity with Git version control in collaborative development.
• Experience with AI/LLM-based analytics data prep is a plus.

Responsabilidades

• Design, build, and maintain semantic layers and KPI models using Databricks Metric Views.
• Define KPI requirements with business owners and translate into reusable data models.
• Profile source data quality, ownership, data grain, and reconciliation across source systems.
• Build data pipelines to prepare data for AI-generated narratives and analytics.
• 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 monitoring across data assets.
• Implement security, access control, and governance practices.
• Lead technical documentation and knowledge transfer after each delivery phase.
• Support production readiness and deployment to production environments.

Conocimientos

KPI modeling

Semantic layer

SQL proficiency

Python proficiency

Data profiling

Stakeholder collaboration

Herramientas

Databricks Metric Views

Azure Databricks

Git

Descripción del empleo

Blend360 is seeking a Data Engineering Manager to design and govern KPI-driven data platforms. You will build semantic layers and KPI models, translate business KPI needs into scalable data structures, and collaborate across teams to ensure data quality in multi-market environments.

Ideal candidates have 7+ years in data engineering, strong SQL/Python, and hands-on Databricks experience. This role supports flexible LATAM work arrangements and career growth in AI-enabled analytics.