Role – Databricks Data Architect

Location: Argentina (Remote)

Mode: Contract Job Summary

We are seeking an experienced Databricks Data Architect to design, build, and optimize modern cloud-based data platforms using the Databricks Lakehouse architecture.

Key Responsibilities

Design end-to-end Lakehouse architectures using Databricks.

Develop scalable Bronze, Silver, and Gold data pipelines.

Optimize Apache Spark workloads and Delta Lake performance.

Implement data governance using Unity Catalog.

Work with AWS, Azure, or GCP cloud services.

Develop ETL/ELT solutions using SQL, Python, or Scala.

Monitor performance, optimize DBUs, and control cloud costs.

Collaborate with cross-functional teams to deliver production-ready solutions.

Required Skills

Databricks Lakehouse Platform, Apache Spark, Delta Lake,



Unity Catalog

Lakehouse Medallion Architecture

Spark performance tuning and distributed computing

Delta Lake (ACID, Time Travel, Schema Enforcement, Z-Ordering)

Unity Catalog, RBAC, Row/Column-level Security, Data Lineage

AWS, Azure, or GCP

Advanced SQL and Python or Scala

Cost optimization and cluster performance tuning

Preferred Skills

Databricks Certifications

MLflow, Mosaic AI, Vector Search, Model Serving

Git, Databricks Repos, dbt, Azure Data Factory, Apache Airflow

Structured Streaming and Auto Loader

Databricks SQL Serverless Warehouses and Power BI integration

📌 Databricks Lakehouse Platform Architect (Argentina)
🏢 Smart IT Frame
📍 Argentina