Top Data Jobs in Toronto

Design, develop, and maintain data engineering solutions across the SDLC using Python (primary) and Scala (secondary). Build distributed data pipelines on Hadoop/Spark ecosystems, extend data processing platforms (Spark SQL, Hive, Starburst), manage CI/CD, and deploy on Kubernetes/OpenShift. Collaborate with stakeholders in Agile teams and ensure maintainable, reusable code.

Own the data platform product portfolio, prioritize datasets and capabilities, define schemas and governance, partner with engineering and analytics, enable trusted consumable data, run discovery with domain experts, track data health and adoption, and drive cross-team alignment to support downstream products and analytics.

Partner with Supply stakeholders to design and run analytical projects, build forecasts and statistical/ML models, run A/B tests, create dashboards and data products, automate manual processes, and deliver actionable insights to improve supply performance and operational efficiency.

Lead the architectural vision and technical strategy for eBay's Data Platform, focusing on building scalable and cost-efficient data systems and platforms.

Lead the RTB reporting sub-team to ensure accurate, reliable finance and compliance reports. Build repeatable processes, documentation, and automation; own stakeholder relationships; mentor juniors; and drive cross-functional reporting initiatives from definition through execution.

Support driver earnings and marketplace teams with SQL-driven analysis, reporting, and financial reconciliation. Provide insights, track product performance, support experiments, prepare leadership business reviews, and develop processes and playbooks to improve earnings products and reduce errors.

Design, build, and deliver scalable Salesforce solutions across Sales Cloud, Data Cloud/Data360 and Agentforce. Lead data integration, identity resolution, data modelling, AI-assisted workflows, Flow/Apex development, LWC/Visualforce components, and platform administration. Own end-to-end delivery, governance, data quality, and release management while partnering with sales and data teams to implement automation and AI-enabled sales workflows.

Lead end-to-end analysis of customer transaction and engagement data to generate insights supporting customer relationship deepening. Perform data exploration, build analyses and visualizations using SQL, Python/PySpark and Power BI, and present findings to business partners to inform strategy and reporting.

Ingest, process and transform large-scale behavioral data from web, mobile and connected TV into advertising data solutions. Build and maintain Big Data pipelines (BigQuery, Dataflow, Spark, Airflow), manage hybrid cloud infrastructure, generate audience segments and integrate with DMP/DSP systems, create visualizations, define data delivery architecture, and collaborate with data scientists, developers, and product teams to drive best practices and production-ready solutions.

Serve as TMX Datalinx's technical Salesforce SME: administer and optimize Salesforce, manage configurations, integrations, data quality, reporting, and user enablement; lead enhancements, governance, and cross-functional projects while mentoring junior admins.

Enterprise Account Executive responsible for selling Salesforce Agentforce and Data 360 solutions. Lead technical discovery, qualify and source opportunities, craft POVs, collaborate cross-functionally, articulate AI/data-driven value, and consistently exceed enterprise sales targets by mapping complex client needs to scalable Salesforce solutions.

Lead technical strategy and hands-on development of large-scale optimization and ML systems (routing, scheduling, resource allocation). Design MILP/VRP/constraint solutions, integrate forecasting with optimization, deploy on cloud/lakehouse, mentor a data science team, and partner with stakeholders to deliver measurable operational improvements.

Lead design and implementation of Microsoft Purview and enterprise data governance programs. Conduct discovery and workshops, configure Purview controls (DLP, sensitivity/retention labels, eDiscovery, insider risk), develop AI governance, support regulatory compliance and audits, build executive reporting and Power BI dashboards, and provide post-implementation support and roadmaps for multiple clients in an MSP environment.

Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.

Operate, optimize, and scale Better Collective’s DMP and contextual targeting solutions. Build and manage audience segments, profile inventory for scale and brand suitability, collaborate with sales and product teams to translate data into commercial insights, and ensure privacy/compliance alignment across markets.

Lead and manage a high-performing data science team within Global Payment Services, develop and execute data strategy, build ML/optimization solutions, drive revenue growth and product/process improvements, collaborate with stakeholders, ensure regulatory and financial reporting, and mentor team members.

Maintain and create product master data across PIM/ERP/Oracle systems; collaborate with cross-functional teams and suppliers; manage pricing/promotions, data quality, incident management, process documentation, and produce product/inventory/sales reports to support supply chain and merchandising.

Design and develop eBay's Core Data Platform, focusing on building scalable distributed systems for data ingestion, governance, and analytics. Collaborate across teams to ensure reliability and enhance data processing capabilities.

Lead development and governance of AI-enabled analytics and Tableau solutions. Partner with stakeholders to define KPIs, build SQL/dbt data models, automate ETL with AWS, perform root-cause analyses, and validate metrics. Use AI tools to accelerate delivery while ensuring data quality, documentation, and stakeholder communication.

Lead architecture and delivery of an AI-ready data platform: define enterprise data models, medallion/lakehouse patterns, data governance, observability, secure interoperability, and mentor teams to build production-ready AI data products.

Lead design and delivery of an AI-ready, AWS-native enterprise data platform and lakehouse. Define architecture patterns, modeling standards, ingestion/CDC, observability, governance, and secure interoperability. Mentor teams, contribute hands-on to platform modernization, enable vector/RAG AI workflows, and provide reference implementations to drive consistent, scalable data products and analytics.

Architect and build core distributed systems for high-throughput real-time and batch data ingestion, processing, and storage. Ensure fault-tolerance, scalability, and strong query performance for time-series and spatial data. Develop automated tooling for data quality and lineage, collaborate on reusable abstractions, and write production-ready code (Java/Python).

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

The Enterprise Solutions Manager drives operational excellence and client success through strategic analysis, process optimization, and project management, collaborating with various teams to deliver AI solutions.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.