Databricks FDE: AI/ML Solutions Architect (Remote)

Rev Star; Colombia; Remote; COP 267,530,000 - 535,060,000; Full time

Job summary

Rev Star is seeking a Senior Databricks Forward Deployed Engineer (FDE) to work embedded at the intersection of architecture, hands-on engineering, and senior client engagement. You will own the end-to-end delivery for high-impact enterprise accounts, designing scalable data foundations and GenAI solutions on the Databricks Lakehouse platform.

You will collaborate with executives and engineering teams to deliver production-grade AI applications and migrations, driving adoption and measurable ROI

Qualifications

• 5+ years of hands-on experience in Data Engineering, ML, or Solutions Architecture.
• 3+ years of deep technical experience within the Databricks ecosystem.
• GenAI/ML experience with RAG pipelines and LLMs.
• Cloud-native architecture experience (AWS preferred).
• Experience migrating enterprise data platforms onto Databricks.

Responsibilities

• Hands-on solution architecture, engineering, and deployment using Databricks and cloud ecosystems.
• Lead enterprise client engagements with C-level and VP stakeholders.
• Migrate legacy platforms to the Databricks Lakehouse architecture.
• Guide GenAI/ML adoption, Vectordb usage, and model fine-tuning.
• Drive platform adoption and measurable ROI across client accounts.
• Mentor junior engineers and contribute to internal libraries and best practices.

Skills

Data Engineering

Machine Learning

Solutions Architecture

Databricks Platform

Cloud Architecture

GenAI / LLM

Tools

Databricks

Spark/PySpark

MLflow

Mosaic AI

AWS

SQL/Data Warehousing

Job description

Rev Star is seeking a Senior Databricks Forward Deployed Engineer (FDE) to work embedded at the intersection of architecture, hands-on engineering, and senior client engagement. You will own the end-to-end delivery for high-impact enterprise accounts, designing scalable data foundations and GenAI solutions on the Databricks Lakehouse platform.

You will collaborate with executives and engineering teams to deliver production-grade AI applications and migrations, driving adoption and measurable ROI