Staff Data Engineer

Robots & Pencils; Colombia; Híbrido; COP 150.000.000 - 250.000.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

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

Herramientas

Kafka

Kinesis

Pub/Sub

Airflow

Docker

Kubernetes

Descripción del empleo

Bogota, Colombia / Argentina (Remote Friendly)

Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients.We'reall in on AWS, combining deep UX capability with senior engineering talent to get AI into production fast and keep it there.
We’ve earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing and more, and earned a reputation as the nimble alternative to traditional global systems integrators. Founded in 2009, with delivery centers in Canada, the United States, Eastern Europe, and Latin America, we are smaller, faster, and more senior by design. Our teams average 15+ years of experience.We move fast, sweat the details, and build things thatactually ship.

Position Overview

We’relooking for aStaffData Engineer tojoin a multi-disciplinary engineering team building modern, enterprise-grade data platforms.This role is ideal for an experienced engineer who can define data strategy, own platform decisions end-to-end, and contribute to technical leadership across the team.

In this role, you will design scalable data lakes, warehouses, and pipelines, define governance and quality standards, and drive data platform modernization across real, in-flight work where performance, reliability, and security are critical.You’llmentor more junior engineers, partner with leadership on data strategy, and bring an AI-forwardmindset.

Why This Role Matters

At Robots & Pencils, we design AI systems fora humanworld. Our name says it all. Robots and pencilsmeansengineering paired with creativity, because every agent we shiphas towork for real people in real workflows. That balance is baked into how we operate.
Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.

What You’ll Do

Craft & Delivery

• Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes
• Build andoptimizescalable data pipelines supporting batch and real-time processing
• Define and enforce data governance, quality standards, and compliance frameworks across the platform
• Build monitoring, logging, and alerting for data pipelines and services, and contribute to CI/CD workflows for data deployment and automation
• Drive data platform modernization,optimizingfor performance, cost, and scalability
• Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace
• Design and implement data contracts and event flows in collaboration with backend, platform, and engineering teams
• Lead the design and implementation of data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flows
• Integrate data services with APIs, middleware, and third-party systems to support end-to-end data consumption
• Partner with leadership on data strategy, translating technical depth into decisions others can act on
• Collaborate closely with engineering, analytics, AI, and product teams to align data platforms with broader goals
• Advocate for data quality, governance, and platform best practices across teams and engagements

Leadership & Influence

• Establish data engineering standards that lift the quality and consistency of work across the team
• Mentor junior and mid-level engineers, helping them grow their craft, confidence, and impact
• Make high-stakes architectural decisions with clear ownership and consideration of long-term tradeoffs

What You’ll Bring

• 7+ years of professional data engineering experience, with experience leading complex data platform initiatives
• Strong systemarchitecture background withexpertisein distributed data systems
• Expertproficiencyin Python, Scala, and SQL
• Deepexpertisewith cloud-native data platforms and enterprise data warehousing
• Strong experience with streaming platforms and real-time data processing (e.g., Kafka, Kinesis, Pub/Sub)
• Strong data modelingexpertiseand experience with data transformation
• Strong experience with data quality, governance, and compliance frameworks
• Strong experience with container orchestration and CI/CD for data systems
• Strong experience building data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flows
• Demonstrated leadership and technical mentoring experience across a team or organization
• Strong stakeholder communication skills, with the ability to translate technical depth across audiences
• Demonstrable, day-to-day usage and expert knowledge of AI-forward coding tools such as Claude and Cursor
• Excellent problem-solving skills and the ability to navigate highly ambiguous technical and business challenges with sound judgment
• Experience with data mesh or data fabric concepts,lakehousearchitectures, or governance framework implementation is a plus
  

Helpful Extras and Unique Skills

You’ll Do Well Here if You Are

• A doer. You see something broken and fix it.You'drather move on clarity than wait for certainty.
• A fast learner who knows youdon'tknow everything. The AI landscape changes weekly.You'resenior enough to know better and curious enough to keep learning anyway.
• Direct in a way that makes the work better. You give honest feedback.You'drather havethehard conversation thanblowsmoke.
• Obsessed withcraft. You know genius is in the details. You shipexceptional, notperfect, and youdon'tput your name onworkyouwouldn'tstand behind.
• Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing.
• All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously.
• Resourceful when the budget, timeline, or team is tight. Constraintsdon'tslow you down. They sharpen you.
• Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work.