About the Role
We are looking for an experienced Senior Databricks Data Engineer to help modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will build batch and streaming pipelines with PySpark and Delta Lake, following a medallion architecture across bronze, silver, and gold layers. This role also uses AI tools like Claude and GitHub Copilot to speed up development.

What you will do
Design, build, and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.
Model and maintain a medallion (bronze/silver/gold) architecture serving analytics, reporting, and machine learning consumers.
Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption.
Use Claude or Github Copilot as a development accelerator, generating code scaffolding, writing and reviewing tests, creating documentation and prototyping solutions.
Write clean, well-tested Python and SQL; maintain high standards through code review and documentation.




Optimize Spark jobs and Delta tables for performance and cost, including partitioning, clustering, caching, and cluster sizing.
Implement data quality, lineage, and governance controls using Unity Catalog and automated validation checks.
Debug, troubleshoot, and resolve pipeline failures, data defects, and production incidents.
Participate in Agile or product-centric delivery practices including sprint planning and retrospectives.
Collaborate with DevOps, platform, and analytics engineers on observability, security, and compliance best practices.

Must haves
4+ years of professional experience in data engineering, featuring direct expertise with Apache Spark and cloud-based data architectures.
Strong hands-on experience building data pipelines with Databricks, Apache Spark (PySpark), and Delta Lake.
Advanced SQL and Python, with strong data modeling skills across dimensional and Lakehouse patterns.
Experience with

📌 Senior Data Engineer (Colombia)
🏢 Agileengine
📍 Colombia