Technical Architect

Team: Engineering

Location: Toronto, Ontario

Commitment: Full-Time

Workplace Type: hybrid

What you'll do

• Design and influence the development of service-based systems (both front-end and back-end) with an emphasis on scalable, event-driven architectures.
• Collaborate with the Product team to understand requirements, provide estimates, assess technical complexity, and identify dependencies, risks, and roadblocks.
• Create lightweight proofs of concept, including those involving graph-based data models, vector embeddings, or ML-driven workflows to validate solution approaches.
• Develop secure, scalable, and high-quality features that contribute directly to overall product growth.
• Lead architectural efforts across data ingestion pipelines, ensuring seamless integration with internal systems, third-party APIs, and large-scale data processing frameworks.
• Design and optimize solutions leveraging Graph Databases (e.g., Neo4j, Amazon Neptune) for complex relationship modelling, knowledge graphs, and advanced analytical capabilities.
• Partner with Data Engineering and AI teams to architect systems that support machine learning model integration, feature engineering, and real-time or batch inference workloads.
• Contribute to the evolution of platform intelligence, including AI-driven automation, semantic search, recommendation engines, and anomaly detection.
• Create and review technical documentation including architecture diagrams, data flow diagrams, data lineage, API specifications, schemas, and integration patterns
• Advocate for best engineering practices and mentor developers to grow their technical capabilities.
• Work cross-functionally to anticipate system challenges, recommend optimal design patterns, and propose alternative solutions when needed.
• Lead the design and development efforts for systems integration projects, ensuring architecture consistency and long-term maintainability.
• Act as a key technical expert, addressing issues related to system interoperability, scalability, and architectural decision-making.
• Generate and maintain non-functional requirements, technical specifications, SLAs, and performance baselines.

What you bring

• 8+ years of experience developing software across front-end and back-end systems, with a history of building scalable technology platforms.
• 3+ years of software architecture and system design experience.
• BA/BS in Computer Science or related field (or equivalent practical experience).
• Expert-level knowledge with: Python, React, JavaScript, Docker, Git, REST APIs, Postgres, SQL.
• Strong background with AWS services such as S3, CloudFront, EC2, RDS, Batch, Lambda, IAM, and event-driven architecture.
• Hands-on experience with Graph Databases (e.g., Neo4j, Amazon Neptune) including data modelling, query optimization, and integration into large-scale systems.
• Experience designing and maintaining data ingestion pipelines, streaming or batch ETL, and structured/unstructured data processing.
• Exposure to AI/ML workflows, including integrating ML models, embedding generation, inference orchestration, or using cloud-based AI/ML services.
• Extensive knowledge of common data structures, algorithms, design patterns, and software engineering best practices.
• Strong communication skills with the ability to articulate complex technical concepts clearly and concisely.
• Adaptability and comfort working in fast-paced, evolving environments.
• Familiarity with Kanban and Agile methodologies and the full Software Development Lifecycle.
• Positive attitude and proven ability to build strong relationships across teams.
• Ability to evaluate systems and code to ensure compliance with security and architectural standards.