Top Data Jobs in Toronto

Designs and deploys data integration, data management, reporting functionality, and data models for insurance-sector transformation projects. The role analyzes client needs, configures SAP solutions, applies data modeling expertise, and collaborates with software development and sales teams. Candidates need experience with IT transformation, insurance data processes, SAP FDS or SAP BW solutions, SAP HANA technologies, and technical mapping. The position is Canada-based with 50% travel and occasional on-site work in Calgary or Toronto.

Lead the design and implementation of scalable Java microservices, data platforms, and batch and real-time pipelines. Optimize lakehouse technologies, event-driven architectures, cloud-native deployments, data quality, governance, observability, and performance. Establish schema contracts, testing, monitoring, SLAs, SLOs, and automated validation. Provide technical leadership, mentor engineers, collaborate with product, analytics, and AI teams, and drive modernization and engineering best practices as a hands-on contributor.

Sell new business and manage, grow, and renew a portfolio of clients for CoStar’s data and analytics products. Responsibilities include prospecting, product demonstrations, consultative selling, closing, onboarding, training, account management, and relationship development with commercial real estate professionals. The role also involves attending industry events, representing CoStar, exceeding sales targets, and building expertise in commercial real estate and CoStar’s product suite.

Leads QuadReal’s Data Solutions team and owns data modeling, analytics engineering, and business intelligence capabilities within the Enterprise Data Platform. Responsibilities include team development, roadmap and delivery management, stakeholder engagement, technical standards, data quality, governance, and vendor accountability. The role translates business and finance requirements into trusted data models and BI products using MS Fabric, dbt, Airflow, Power BI, and related technologies.

Conduct legal research and analysis to support AI-driven legal technology solutions. Create and maintain training data, perform relevance evaluations, provide actionable feedback to data scientists, engineers, and product managers, and contribute to stakeholder presentations. The role also supports responsible AI initiatives and executes projects with increasing independence.

Leads the design, development, deployment, and scaling of AI, machine learning, generative AI, and agentic AI solutions for commercial pharmaceutical operations. Owns the full AI product lifecycle, advises on architecture and modeling, partners with cross-functional stakeholders, ensures responsible AI governance, develops reusable frameworks, communicates insights, mentors technical staff, and supports organizational AI strategy and capability building.

Designs and maintains Azure-based data lakehouse architecture, batch and real-time ETL pipelines, and data migration workflows from EHR, legacy, and business systems. Builds OLTP and OLAP data models, integrates Salesforce Health Cloud, transforms HL7, FHIR, and EDI data, and implements validation, deduplication, encryption, masking, and PHI-compliant security. Develops high-performance pipelines using Informatica, Azure services, Python, SQL, Spark, and related technologies to support clinical analytics, business intelligence, and AI initiatives.

Owns the end-to-end architecture, governance, delivery, and production readiness of an enterprise data solution. Designs and develops Azure-based data pipelines, SQL databases, Power BI reporting, Logic Apps, and Python solutions. Establishes data layers, controls, lineage, reconciliation, testing standards, and operational service levels. Leads troubleshooting, code reviews, stakeholder coordination, production transitions, and automation planning while coaching junior team members.

Leads end-to-end enterprise data architecture, engineering, governance, delivery, and production readiness. Designs and builds Azure Data Factory, Azure SQL, Power BI, Logic Apps, Python, and Databricks solutions; establishes data layers, controls, lineage, reconciliation, testing, and operational standards. Troubleshoots complex issues, coordinates stakeholders, reviews code, coaches junior staff, manages production transition, and develops the automation roadmap.

Lead marketing analytics and data strategy for B2B SaaS Marketing. Design measurement frameworks, own attribution, funnel and lifecycle analysis, forecasting, and marketing investment recommendations. Partner with senior marketing leaders and cross-functional teams to build data foundations, enable AI-assisted analytics, and mentor analysts to raise analytical standards.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

Leads the architecture, development, optimization, and operation of large-scale batch and real-time data platforms using Spark, Databricks, Kafka, and lakehouse technologies. Designs petabyte-scale pipelines, tunes Spark and SQL performance, manages governance and monitoring, establishes data-modeling and operational standards, and leads a global data engineering team. Advises stakeholders, mentors engineers, manages delivery risks and dependencies, and ensures production readiness, data quality, compliance, and support.

Leads and mentors data engineering teams while designing, deploying, and operating scalable data pipelines and platforms supporting analytics, AI/ML, and commercial use cases. Provides architectural leadership across cloud-native platforms, distributed processing, orchestration, data integration, and streaming architectures. Manages delivery priorities, stakeholder requirements, operational excellence, incident response, standards, and continuous improvement across enterprise data engineering initiatives.

Conduct research and design AI data-security and privacy architectures for endpoint devices. Prototype and build privacy-preserving defenses, analyze emerging attack vectors and regulations, and collaborate with global labs and product teams to transition research into production-grade endpoint security solutions.

Lead a 20-person engineering team to design, deploy, and maintain secure, high-availability data communication systems for train control. Oversee architecture (SR-MPLS, RAN, private 5G), system integration, testing (FAT/SAT/SIT), compliance with cybersecurity and industry standards, staffing, and delivery of projects and proposals.

Lead design, development, deployment, and validation of mission-critical communication systems for CBTC. Define system and subsystem requirements, produce detailed network designs, implement solutions in lab and field, support commissioning and high-tier field issues, prepare proposals, and supervise contractors while ensuring safety, standards compliance, and stakeholder communication.

Lead enterprise data architecture and transformation initiatives for financial-services clients. Responsibilities include defining target-state architectures, operating models, roadmaps, integration patterns, data governance, platform strategies, and architectural standards. The role evaluates vendors and build-versus-buy decisions, leads workshops and delivery teams, communicates with executives, manages complex projects, develops internal intellectual property, and mentors consultants. Strong expertise in MDM, data modeling, integration, cloud data platforms, governance, quality, security, and asset and wealth management data is required.

The GTM Lead for Insurance will build and manage enterprise insurance accounts, develop relationships with senior industry leaders, and shape sales strategies for AI solutions.

Leads and scales a team of Technical Architects serving enterprise customers. Oversees customer onboarding, success, retention, expansion, technical escalations, implementation standards, and customer health metrics. Partners with Sales, Product, Marketing, and Engineering to improve adoption, prioritize customer-driven enhancements, and develop go-to-market strategies. Combines people leadership, technical expertise, coaching, and cross-functional program execution to deliver strong customer outcomes.

Coordinate cross-functional programs across HR, Finance, and corporate functions from planning through execution. Manage employee lifecycle workflows, recruiting operations, compliance tracking, finance operations, audits, budgets, reporting, and leadership updates. Identify and implement AI-enabled workflows, translate processes into agent instructions, monitor accuracy and privacy, establish performance metrics, and train internal users. Partner with executives and functional leaders to improve operational processes and adoption of automation.

Lead product design for Waabi’s driverless commercial and operations ecosystem, including fleet management, remote assistance, dispatch, monitoring, and safety-critical workflows. Observe fleet operators and terminal staff, design human-AI interactions, extend the design system, and ship directly in React codebases using AI-assisted tools. Collaborate with product, engineering, research, and operations teams while helping establish design culture and processes as the second product designer.

The Data Engineer is responsible for designing and optimizing data pipelines, ensuring data integration, and collaborating with teams on AI-driven applications.

As a Data Analyst, you will analyze user behavior, create interactive dashboards, and collaborate with teams to provide actionable insights for product improvement.

Analyze user behavior and product performance, create reports and dashboards, and provide data-driven insights to teams for decision-making.

Cygnus seeks Data Scientists and Analytics Developers committed to customer success, emphasizing ownership and a strong value system.