Staff Fullstack Engineer

Job summary

Lead the architecture and development of scalable data products, ingestion and synchronization frameworks, integrations, APIs, services, and analytics capabilities. Establish production reliability and operational standards, align cross-functional teams, mentor engineers, and improve system performance and engineering practices.

Job details

Staff Fullstack Engineer, Data Products (Golang / Node) Location: Canada (Remote) Industry: Software Development Work Setting: Remote Are you passionate about building scalable data platforms, solving complex engineering challenges, and transforming massive volumes of data into actionable insights? We are seeking a Staff Full-Stack Engineer, Data Products to play a foundational role in designing and delivering next-generation data solutions. This position requires a highly technical leader who thrives in ambiguous environments, drives innovation from concept to production, and partners across engineering, product, and platform teams to build impactful data-driven products. Key Responsibilities Lead the architecture and development of data ingestion, transformation, and synchronization frameworks that power scalable data products and analytics solutions. Design and deliver integrations with external platforms and enterprise systems to enrich data ecosystems and create connected user experiences. Build and enhance data-sharing capabilities that enable customers and internal stakeholders to access trusted data through modern analytics and data platform technologies. Develop APIs, services, dashboards, and data products that convert complex datasets into meaningful business intelligence and operational insights. Define and implement operational readiness standards, reliability practices, monitoring strategies, and performance expectations for production systems. Translate complex and evolving business requirements into clear technical roadmaps and scalable engineering solutions. Drive cross-functional collaboration to resolve dependencies and align priorities across platform, infrastructure, data, and product teams. Mentor engineers through technical leadership, architecture reviews, coding best practices, and collaborative problem-solving. Identify operational bottlenecks and implement scalable solutions that improve development efficiency, delivery speed, and system performance. Champion engineering excellence, documentation, knowledge sharing, and long-term maintainability across the organization. What We're Looking For Proven experience leading the design, development, and delivery of large-scale product or platform systems across multiple teams. Strong technical leadership with the ability to influence architecture, engineering strategy, and business outcomes. Deep full-stack development expertise with experience building distributed systems, APIs, backend services, and modern web applications. Strong proficiency in backend programming languages and technologies such as Go, Node.js, Ruby, or similar platforms. Experience with data platforms, analytics systems, data warehousing, graph-based technologies, event-driven architectures, or large-scale data pipelines. Hands-on experience building AI-enabled applications, intelligent workflows, automation solutions, or data-driven product capabilities. Knowledge of cloud-native architectures, observability practices, system reliability, and multi-tenant software platforms. Exceptional communication and stakeholder management skills with the ability to build alignment across technical and non-technical teams. Strong documentation habits and the ability to clearly communicate design decisions and technical trade-offs. Passion for mentoring engineers and elevating technical standards across teams.

What you’ll do

Lead the architecture and development of scalable data products, ingestion and synchronization frameworks, integrations, APIs, services, and analytics capabilities. Establish production reliability and operational standards, align cross-functional teams, mentor engineers, and improve system performance and engineering practices.

Requirements

Requires extensive technical leadership and experience delivering large-scale product or platform systems across teams, with deep full-stack expertise in distributed systems, APIs, backend services, and web applications. Candidates should have proficiency in Go, Node.js, Ruby, or similar technologies, experience with data platforms and cloud-native systems, and hands-on exposure to AI-enabled applications or data-driven products.

Listed skills

• Node.js · Preferred
• Go · Preferred
• Data analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Go
• Node.js
• Full-Stack Development
• Distributed Systems
• API Development
• Data Ingestion
• Data Transformation
• Data Pipelines
• Data Platforms
• Analytics
• Event-Driven Architecture
• Cloud-Native Architecture
• Observability
• System Reliability
• Technical Leadership
• Mentoring

Job areas

• Software
• Technology
• Data & Analytics
• Engineering
• Management & Leadership

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