Staff Data Engineer — AI-Forward Data Platform Leader

Robots & Pencils; Colombia; Hybrid; COP 150,000,000 - 250,000,000; Full time

Job summary

Robots & Pencils seeks a Staff Data Engineer to lead a multi-disciplinary team in designing enterprise-grade data platforms. You will define data strategy, own platform decisions end-to-end, and mentor junior engineers while partnering with leadership on data initiatives.

You will design scalable data lakes and warehouses, drive governance, and modernize data platforms across production workloads where performance, security, and reliability matter. AI-forward mindset required.

Qualifications

• 7+ years of professional data engineering experience.
• Strong system architecture background with distributed data systems.
• Expert proficiency in Python, Scala, and SQL.
• Deep expertise with cloud-native data platforms and enterprise data warehousing.
• Strong experience with streaming platforms and real-time data processing.
• Strong data modeling expertise and data transformation experience.
• Strong experience with data quality, governance, and compliance frameworks.
• Strong experience with container orchestration and CI/CD for data systems.
• Experience building data pipelines for production AI/ML systems including embeddings and feature stores.
• Demonstrated leadership and technical mentoring across teams.

Responsibilities

• Define data architecture and platform strategy across pipelines, warehouses, and data lakes.
• Build and optimize scalable data pipelines for batch and real-time processing.
• Enforce data governance, quality standards, and compliance frameworks.

Skills

Data engineering

Distributed systems

Python

Scala

SQL

Cloud data platforms

Streaming (Kafka)

Data modeling

Data governance

CI/CD

AI/ML pipelines

Embeddings

Vector stores

RAG data prep

Feature stores

Training data flows

Tools

Kafka

Kinesis

Pub/Sub

Airflow

Docker

Kubernetes

Job description

Robots & Pencils seeks a Staff Data Engineer to lead a multi-disciplinary team in designing enterprise-grade data platforms. You will define data strategy, own platform decisions end-to-end, and mentor junior engineers while partnering with leadership on data initiatives.

You will design scalable data lakes and warehouses, drive governance, and modernize data platforms across production workloads where performance, security, and reliability matter. AI-forward mindset required.