Schema App is a fast-growing, profitable SaaS company headquartered in Guelph, Ontario, with a team across Canada. We’re a smart, collaborative group driven by a shared mission: to become a global leader in enterprise marketing technology and help organizations future-proof for the age of AI.
We work with some of the world’s most recognized enterprises, including SAP, Wells Fargo, and Henry Ford Health, to give them control over how their brand is understood and represented by AI across search and digital experiences.

At our core, we believe that in the age of AI, a brand is only as strong as the data behind it and the connections within it. As search evolves into AI-driven and agent-led experiences, that foundation becomes critical. That’s why we’re building the infrastructure enterprises need to control how they show up in AI today and compete in the agentic web tomorrow: driving growth, protecting their brand, and leading in the next generation of digital experiences.

Visit Schema App at www.schemaapp.com or on LinkedIn.

We’re looking for a Semantic Automation Engineer to drive reliable, scalable data connectivity across our business systems and knowledge graph. In this role, you’ll design and maintain integrations, automate workflows, and transform business data into a unified semantic layer—ensuring accurate, real-time synchronization and reducing manual operational overhead across teams.

Functional Accountabilities

Strategy:
1. Collaborate with business stakeholders and technical teams to identify and prioritize opportunities to evolve existing systems through integration, automation, and improved data flow integrity.
2. Partner with the Ontologist to model and transform business data into a unified semantic source of truth within the knowledge graph.

Execution:
3. Design and deploy robust integrations using a "right tool for the job" approach—leveraging low-code platforms (e.g., Make.com, Zapier) for standard workflows and custom Python scripting for complex logic, data transformation, or non-standard API endpoints.
4. Develop and consume RESTful or GraphQL APIs to bridge gaps between SaaS platforms and the knowledge graph, ensuring the engineer can unblock technical hurdles without total reliance on core engineering teams.
5. Build responsive, event-driven data flows that support real-time synchronization, minimizing latency and eliminating manual data entry across departmental silos.

Maintenance:
6. Ensure the reliable, bidirectional synchronization of key business entities (e.g., customers, addresses, transactions) across core systems, maintaining data accuracy and consistency.

Key Competencies

Business & Communication Skills:
• Strong business analysis skills to translate stakeholder needs into scalable, semantic automation solutions
• High attention to detail and a strong focus on data quality across customer, financial, and operational data
• Effective communicator, able to collaborate with both technical teams and business stakeholders to evolve systems strategically

Technical Skills:
• Hands-on experience with low-code/no-code platforms (e.g., Make.com, Zapier) coupled with the ability to extend these tools through custom webhooks and API calls
• Proficient in Python (specifically for data manipulation) to build custom middleware, automate ETL tasks, and interact with REST/GraphQL APIs independently.
• Working knowledge of RDF, OWL, and graph databases (preferably AWS Neptune), with basic scripting skills in JavaScript or Python
• Ability to design event-driven workflows and extend third-party platform capabilities (e.g., HubSpot, Stripe) using vendor toolkits and APIs
• Proficient in applying AI tools (e.g., GPT, automation co-pilots) for data enrichment and transformation tasks

Metrics

• Integration Stability Rate (Percentage of successful integration deployments without rollback or rework)
• Mean Time to Resolution (MTTR) for integration failures or synchronization errors
• System Synchronization Coverage (Percentage of core business systems mapped and synchronized with the Knowledge Graph)
• Automation Cost Efficiency (Hosting/automation platform costs relative to budget and usage volume)
• Operational Automation Impact (Number of manual workflows automated or significantly streamlined per quarter)

Core Values Alignment

• Growth Mindset – Continuously improves integration patterns, explores new automation tools and AI capabilities, and evolves systems to support better data flow and scalability.
• Resourceful – Finds efficient, “right tool for the job” solutions—leveraging low-code platforms, APIs, and custom scripting to solve complex integration challenges and unblock teams.
• One Team – Partners closely with business stakeholders, ontologists, and technical teams to align systems, translate requirements, and ensure seamless data flow across the organization.
• We are Humble – Welcomes feedback, prioritizes data accuracy and reliability, and takes ownership of maintaining clean, consistent, and trustworthy data across all integrated systems.

AI-based tools may be used to support screening; all resumes are reviewed by a member of our team.

Life @ Schema App

• Culture focused on your growth: Weekly 1:1 with conversations around Professional Development
• Great benefits for health & wellness, and your coverage starts as soon as you do
• RRSP matching!
• Flex days to re-energize on top of vacation days and you don’t work on your birthday
• The Culture Club keeps our virtual team connected through fun and innovative events
• Diverse smart team! The more inclusive we are, the better our work will be
• Schema App’s purpose is to build meaningful connections, with each other, our customers, and the data so that we are all understood. We are a team of smart people helping each other solve hard problems.
  

If you require accommodation during the application process, please let us know. We are committed to an inclusive work environment and welcome applicants of all backgrounds and perspectives.