Top Data Jobs in Toronto

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

Lead and influence teams in data engineering projects, focusing on data infrastructure, analytics, performance, and security while mentoring and providing technical guidance.

Design, develop, and optimize big data solutions using Databricks, Apache Spark, and cloud platforms. Collaborate with teams to ensure high-performance data architectures.

The Sr. Data Architect designs and optimizes data architecture on Snowflake, develops scalable data pipelines, and leads architecture governance with a focus on performance and compliance.

As an Engagement Manager, lead BI projects, guide teams to transform data into actionable insights, and develop BI strategies ensuring data integrity and quality.

As a Data Architect, you'll design scalable data solutions, collaborate with teams to drive AI and data science projects, and communicate insights effectively.

The Data Architect will design and govern data models to support analytics and AI initiatives, ensuring data quality and collaboration across teams.

Lead the development and delivery of AI-driven product capabilities, transforming data into actionable insights while mentoring a high-performing team of data scientists and engineers.

The Senior Data Scientist will manage data science needs for partners, develop advanced modeling solutions, and solve complex business challenges through data science methodologies.

Support the development and enforcement of data governance policies and standards. Collaborate with stakeholders to enhance data quality and compliance while managing data governance projects.

The Lead Data Analyst role involves analyzing audience behavior and content performance, turning data into actionable insights, and supporting product strategy through data analysis.

The Data Engineer will design and maintain data pipelines on cloud data warehouses, manage integrations with advertising platforms, ensure data quality, and collaborate with cross-functional teams to meet reporting needs.

The Data Product Manager will lead the development of enterprise data products by translating business needs into scalable data solutions, managing analytics projects, and coordinating with global teams to ensure efficient delivery and optimization of data initiatives.

As an Associate Data Developer, you will support data systems, work on cloud migration, create analytics systems, and analyze data for improved performance.

As a Data Developer, you will design and maintain CI/CD pipelines, automate processes, and support scalable cloud infrastructure while ensuring data system reliability and collaborating with various teams to optimize data delivery.

As a Data Developer, you will modernize data systems, develop scalable data pipelines, and maintain ETL processes while ensuring data accuracy and compliance.

The Vice President Enterprise Data & Analytics leads the data strategy, oversees data governance, and drives advanced analytics capabilities, enhancing business intelligence and operational excellence.

The Account Executive at CoStar is responsible for selling new business, managing client portfolios, and driving growth through the entire sales process in the commercial real estate sector.

The Account Executive will drive revenue by engaging mid-market and enterprise businesses in data-sensitive sectors, managing the sales process, and building relationships with C-level stakeholders.

Build and optimize Databricks-based data pipelines and Delta Lake solutions, capture and process data quality metrics, and create Power BI dashboards for data governance and operational monitoring. Partner with stakeholders to define requirements, implement scalable data models, troubleshoot performance, and promote data engineering best practices, testing, and deployment.

Design, build, and operate scalable ETL/ELT pipelines and data storage for B2B products. Ensure data quality, low-latency performance, CI/CD, testing, monitoring, and technical leadership across cloud-based analytics systems.

Design, build, and maintain complex data models, ETL pipelines, ingestion workflows, metadata and lineage. Perform data profiling, quality checks, documentation, and collaborate with stakeholders to support testing, deployment, and governance across platforms.

Lead financial reporting, forecasting and data analysis for project portfolios and fleet operations. Build models, tools and processes to measure project benefits, present insights to stakeholders, support process improvements, and collaborate with FP&A and cross-functional teams to optimize performance and reporting.

Design, develop, test and support cloud data pipelines, transformations, and data models using Databricks, Azure/AWS services and ETL tools. Implement lakehouse/data warehouse solutions, perform orchestration, provide production support, and follow SDLC and change/incident management in a public-sector environment.

Analyze complex datasets, build interactive dashboards, run predictive and statistical analyses, enforce data governance, automate reporting, and partner cross-functionally to deliver actionable insights.