Top Data Jobs in Toronto

Lead development and governance of Canopy's data, research, and knowledge systems. Coordinate cross-team research, establish data quality and provenance standards, oversee dashboards/maps/calculators and AI-enabled workflows, translate technical research for non-specialists, and manage internal staff plus external researchers to support reports, decision tools, and thought leadership.

Design and implement secure, resumable cloud pipelines to ingest multi-terabyte medical imaging data; build GPU-accelerated orchestration with strong retry semantics and cost controls; define data lifecycle and retention; implement HIPAA/PHI security and compliance controls; and deliver operational tooling (monitoring, alerting, runbooks) for a device fleet.

Research-focused internship for advanced PhD candidates to develop and evaluate neurosymbolic, knowledge representation, multimodal, and trustworthy AI methods. Duties include defining research questions, building prototypes and benchmarks, running rigorous experiments, collaborating with engineers and domain experts, and moving research toward production and publications.

Lead product strategy and execution for AI agent orchestration/governance and enterprise semantic data layers. Define requirements, run customer discovery, write PRDs and API contracts, partner with engineering and compliance, ensure regulatory readiness, and drive go-to-market and executive alignment for enterprise insurance and financial services customers.

Lead and grow the data engineering function, driving Snowflake migration and EDW modernization. Deliver scalable, secure batch and real-time data platforms, embed MLOps/DataOps, CI/CD, and IaC, enforce PCI DSS and data quality, manage onshore/offshore teams, and partner with architecture, governance, security, and product stakeholders to meet enterprise data needs.

Design and maintain ETL/ELT pipelines and semantic/analytical data models; extend metric layers for BI and LLM/RAG-driven natural-language analytics; apply AI/ML and data-science techniques to produce trusted investment metrics, insights, and recommendations; embed data quality, lineage, and governance; collaborate with investment, finance, and technology stakeholders to prototype and productionize AI-enabled reporting solutions.

Lead design, implementation, and support of enterprise LAN/MAN/WAN networks. Configure Cisco network hardware and security platforms, troubleshoot escalated incidents, optimize monitoring, mentor staff, maintain documentation, and drive network modernization.

Lead design and governance of enterprise data architecture and cloud migrations. Design data models, integration frameworks (ETL/ELT, APIs, streaming), and SharePoint/M365 migrations. Define data governance, security, and lifecycle policies; document architectures and enable adoption across teams. Support Azure-based platform modernization and performance optimization.

As a Senior Software Engineer, you'll design and build scalable market data systems, improve API architecture, and enhance overall system performance, contributing to Alpaca's infrastructure for trading financial assets.

The role involves owning product feature development, participating in system design, and maintaining software performance in an agile setting.

Lead the development of data products at Procore, leveraging construction data to create predictive models and insights. Collaborate across teams to define product strategy, data quality standards, and success metrics, while utilizing AI tools effectively.

The Senior Systems Engineer will manage technical relationships, oversee pre-sales evaluations, and collaborate with engineering to define product requirements. They will also develop sales strategies and provide customer proposals while demonstrating expertise in storage products and architectures.

The Account Executive will drive sales growth by developing business with enterprise customers, managing relationships, and delivering proposals aligned with their needs, while collaborating with channel partners.

The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

Lead optimization and scaling of Snowflake architecture, build resilient ELT/ETL and MLOps pipelines, implement data observability, automate workflows with AI-assisted tools, and design enterprise semantic models to support analytics and commercial data products.

Build and automate large-scale ML data pipelines and tooling for autonomous trucking. Improve dataset curation, deduplication, labeling, evaluation, and metrics infrastructure. Collaborate with robotics, autonomy, and infra teams to support continuous learning, deployment, and scalable AI infrastructure for Kodiak's fleet.

Design and deliver enterprise-scale EDW and BI solutions, ensuring performance and scalability, while mentoring teams and engaging stakeholders.

As a Business Development Intern, you will support acquisition activities by validating prospect data, conducting market research, and aiding analysis for software company acquisitions.

Lead data-driven underwriting improvements by analyzing claims, risk signals, and underwriting data; build statistical and ML models for cyber risk assessment, pricing, and automation; produce dashboards and reports; collaborate with actuarial, product, and engineering teams; mentor teammates and lead cross-functional initiatives to optimize underwriting and risk selection.

Lead labeling quality and methodology for ML at Coalition: design annotation tasks, define quality frameworks (IAA, gold standards), manage Label Studio and vendor BPOs, partner with ML/data teams, and track operational metrics to improve accuracy and throughput.

Support D2C and B2B growth by building automated dashboards, performing funnel and conversion analyses, tracking lifecycle marketing and ad performance, and partnering with cross-functional teams to scale growth initiatives. Learn from mentors and progress into owning growth and marketing analytics domains.

Lead single-threaded product and technical ownership for Client Intelligence & Data, defining APIs and event-driven architectures to deliver merchant-facing analytics, KPIs, and reports. Drive platform strategy toward AI-driven insights, enforce production reliability and automated QA, champion You Build It You Run It culture, partner cross-functionally to scale multi-tenant analytics capabilities, and prioritize work using evidence-based frameworks.

The Senior Data Engineer will scale and evolve the data platform, develop ETL/ELT pipelines, establish best practices, and optimize systems for performance while collaborating with various teams.

Design and govern R&D data architecture connecting discovery, clinical development, regulatory and operations. Own enterprise data models, integrations, automation and AI data designs; produce architecture roadmaps, end-to-end data flows, and mentor teams while ensuring scalability, security and regulatory compliance.