Top Tech Jobs & Startup Jobs in Toronto

Leads technical strategy and architecture for a global business division, defining target-state architecture, standards, integration patterns, and technology roadmaps. Represents the division on architecture reviews, aligns initiatives with enterprise platforms, establishes reusable capabilities, and advises senior stakeholders. Provides hands-on technical guidance, mentorship, and forward-deployed engineering support while advancing AI-enabled delivery, security, reliability, governance, scalability, and operational excellence.

Own the technical strategy, target architecture, standards, and roadmap for a global digital platform. Lead engineering teams, guide architecture and integration decisions, partner with senior stakeholders, and apply AI-enabled delivery responsibly. Establish requirements for security, reliability, governance, observability, scalability, and operational excellence while developing technical talent and driving reusable digital capabilities.

Build and register domain-grounded data agents over governed Databricks and Snowflake datasets. Perform lakehouse migrations to open formats such as Apache Iceberg, curate catalogue metadata, and support data-contract workflows. Partner with business stakeholders and subject-matter experts to validate data assets. Implement advanced SQL and PySpark pipelines, orchestration, data quality, observability, lineage, masking, and row- and column-level security. The role also supports vector search, embeddings, cloud data onboarding, and regulated-domain use cases.

Own the end-to-end architecture of a governed, zero-copy, cross-cloud data platform spanning Databricks, Snowflake, and other data sources. Define architecture standards, reference designs, metadata and catalog integrations, data contracts, access controls, and agent- or MCP-based data consumption patterns. Translate product vision into technical specifications, guide engineering decisions, ensure enterprise alignment, and communicate complex trade-offs to technical and business stakeholders in a consulting environment.

Leads enterprise web and CMS digital transformation projects from discovery through post-launch optimization. Manages cross-functional teams, client relationships, scope, budgets exceeding £1M, schedules, profitability, resources, risks, integrations, content migration, governance, and reporting. Supports pre-sales activities, including RFPs, scoping, and statements of work, while driving continuous delivery improvement and identifying growth opportunities.

Build AI-augmented, full-stack applications from concepts and prototypes through production, with emphasis on frontend excellence. Create accessible, responsive React, Vue, and Nuxt interfaces; develop APIs and backend services; manage SQL and NoSQL databases; implement authentication, caching, performance, and scalability strategies. Use AI design tools, Figma, design systems, and specification-driven workflows while collaborating with designers and innovation teams.

Build full-stack AI and data-platform applications, including Python backend automation, agent-enabled workflows, MCP servers, metadata and data-contract tooling, and platform discovery interfaces. Design APIs, asynchronous services, schemas, microservices, testing, and CI/CD pipelines while integrating LLMs, graph data, cloud infrastructure, and governance platforms. Contribute to architecture, scalability, security, code quality, and client-focused consulting delivery.

Lead rapid concept-to-production work using AI design tools and modern full-stack frameworks. Build accessible, performant frontends and robust backends, implement APIs, auth, caching, and databases, and collaborate with designers and AI builders to maintain design systems and deliver production-ready applications.