Top Data Jobs in Toronto

Design and build scalable production data pipelines and warehouse models to support AI, analytics, and product teams. Own ingestion, transformation, testing, monitoring, and data quality. Build shared platform capabilities, collaborate cross-functionally, and define practices and cloud architecture for a new regional data engineering team.

Lead the design and implementation of data architecture for Arteria AI, focusing on data modeling and the ClickHouse-based data product. Collaborate with product teams, write Python code, and mentor engineers while ensuring data integrity for regulated industries.

Lead a team focused on data and ML systems at eBay, driving architectural decisions, product execution, and best practices in ML applications.

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.

Design and build software components for a distributed system, ensuring uptime and reliability while collaborating on project discussions and adhering to quality standards.

As an Agentic Data Specialist, design and manage data systems for AI agents, ensuring seamless integration and collaboration across enterprise technologies.

Engage with customers to sell Salesforce Customer 360, build relationships, develop account strategies, and drive growth within assigned accounts.

The Data Designer II role focuses on translating business needs into technical data solutions involving data warehousing, analysis, and Agile collaboration.

Lead data science initiatives by translating business problems into scalable analytics solutions. Apply Python, statistical and advanced analytics to extract and prepare big data, build models, and visualize insights. Provide technical leadership, mentor colleagues, collaborate with engineers, and ensure solutions meet enterprise, regulatory, and business requirements.

Design, build, and optimize scalable data ingestion, transformation, validation, and modeling pipelines. Collaborate with architects, product managers, and engineers to meet analytics/product needs, implement CI/CD, monitor data quality and pipeline performance, evaluate new tools, and mentor team members.

Design, build, and maintain scalable data pipelines and infrastructure using Spark, Kafka, cloud platforms and containerization. Ensure data integrity, ETL, high availability, performance tuning, observability, and collaborate with AI/data science teams to enable analytics and ML solutions.

Provide day-to-day Salesforce and Datalinx platform administration, maintain data quality (cleansing, deduplication, enrichment), support reporting and BI workflows, execute outbound campaigns, document processes, and assist integrations and operational analytics to ensure accurate, consistent, scalable platform operations.

Partner with stakeholders to translate business questions into analytical frameworks, build interactive dashboards and reports, monitor KPIs, deliver insights to leadership, and collaborate with data engineering to ensure data quality and reporting requirements are met.

Design, build, and manage data pipelines, warehouses, and semantic models. Source and standardize data, ensure quality, and deliver analytics and reports. Collaborate with stakeholders and communicate technical methods to non-technical audiences, supporting mutual fund and market-based insurance product analytics.

Lead design and delivery of scalable data platforms and ETL/ELT pipelines on Azure to support analytics and AI workflows. Build data models, ensure data governance and quality, integrate LLMs/AI tools, enable real-time ingestion and observability, and translate business requirements into analytics solutions for capital markets stakeholders.

Collect, verify, and input multi-family residential development data into Zonda's NHSLive product. Monitor project websites, planning documents, permits, and launch dates; make phone inquiries and use tools to ensure data accuracy.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

The Director of Data Governance is responsible for designing and implementing a global data governance framework, ensuring data quality, compliance, and governance standards across regions. This role partners with various teams and influences stakeholders to drive data governance practices in a commercial real estate context.

The Account Executive will develop business with enterprise customers, manage sales processes, maintain customer relationships, and present proposals while driving revenue with strategic customers across various regions.

Seeking a Senior Data Engineer to develop and maintain data pipelines using Microsoft Fabric and Azure Data Factory, ensuring data security and compliance while optimizing data solutions and collaborating cross-functionally.

As a Senior Data Engineer, you will build a data platform, create data pipelines for market and trade data, and collaborate with traders and quants to enhance analytical workflows.

The Product Owner will define and prioritize backlog items for Autodesk's AEC Platform Data team, focusing on information requirements management and collaborating with clients and cross-functional teams.

As the Senior Data Scientist for AI & Model Risk, you will lead AI risk assessments, coordinate with stakeholders, evaluate AI system designs, and ensure compliance with risk management principles in financial services.

The Data Engineer will build scalable data processing tools, collaborate with teams, enhance developer experience, and support AI interactions with data infrastructure.

The Salesforce Data Cloud Developer will architect, design, and implement solutions using Salesforce Data Cloud, ensuring data quality and security while leading a team and integrating third-party systems.