Staff Data Engineer

Robots and Pencils; Canada; Remote; CAD 140,000 - 180,000; Full time

Job summary

Robots & Pencils is an applied AI engineering firm building enterprise-scale data platforms and AI co-workers. We design and ship AI systems that integrate into real workflows and deliver measurable results for clients.

The Staff Data Engineer will own data strategy, define governance, and mentor a strong engineering team while delivering scalable data lakes, warehouses, and pipelines with a focus on performance, reliability, and security.

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.
• Experience with streaming platforms (Kafka, Kinesis, Pub/Sub).
• Experience with data governance, quality, and compliance frameworks.
• Experience building data pipelines for production AI/ML systems.
• Proven leadership and technical mentoring across teams.
• Strong stakeholder communication, translating technical depth for varied audiences.
• Experience with AI-forward coding tools (Claude, Cursor).
• Familiarity with data mesh/fabric concepts or lakehouse architectures is a plus.

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 across the platform.
• Design monitoring, logging, and CI/CD workflows for data deployments and automation.
• Drive data platform modernization focusing on performance, cost, and scalability.
• Mentor junior engineers and partner with leadership on data strategy.
• Collaborate with engineering, analytics, AI, and product teams to align platforms with goals.
• Advocate for data quality and governance across teams and engagements.

Skills

Leadership

Mentoring

Communication

Problem-solving

Ownership

Tools

Python

Scala

SQL

Kafka

Kinesis

Pub/Sub

Container orchestration

CI/CD

Data modeling

Job description

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're all 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 that actually ship.

Position Overview

We’re looking for a Staff Data Engineer to join 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’ll mentor more junior engineers, partner with leadership on data strategy, and bring an AI-forward mindset.

Why This Role Matters

At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work 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 to 45 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 and optimize scalable 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, optimizing for 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 system architecture background with expertise in 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 (e.g., Kafka, Kinesis, Pub/Sub)


• Strong data modeling expertise and 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, lakehouse architectures, or governance framework implementation is a plus

Helpful Extras and Unique Skills

• Experience with handling and modeling data in the healthcare industry is a plus


• AWS certifications, like Certified Data Engineer – Associate, strongly preferred

You’ll Do Well Here if You Are

• A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty.


• A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior 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'd rather have the hard conversation than blow smoke.


• Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you'd wouldn't stand 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. Constraints don't slow 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.

An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.