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Data Governance Lead
Lead the design and enforcement of CI Financial’s data governance framework, ensuring data quality, lineage, and compliance while collaborating with engineering and business teams to standardize policies and democratize reliable data.
Data Quality Analyst
Data Quality Analyst ensures enterprise data integrity on Databricks by defining quality rules, monitoring metrics, and automating validation checks across sales, finance, and operations.
Data Governance Analyst
Data Governance Analyst builds and maintains Collibra-driven governance for capital-markets data (trade, reference, risk) to meet regulatory requirements like BCBS 239 and MiFID II.
Solution Designer - Data Focused
Designs scalable data architectures and end-to-end solutions for a large financial institution, focusing on cloud platforms like Azure Databricks and Synapse.
Principal Platform Architect - AI and Data Platforms
Lead the architecture of AI and data platforms, defining scalable GenAI/Agentic AI systems and Lakehouse data pipelines on Azure while enforcing governance and mentoring teams.
Data Solutions Architect
Designs and implements modern data analytics solutions for clients, including ETL/ELT pipelines, cloud data warehouses, and BI dashboards using tools like Snowflake, Azure Data Factory, and Power BI.
Data Integration Developer & QA
Design, build, and maintain ETL/ELT pipelines and automated data workflows to move supporter data between fundraising systems like Raiser’s Edge and Engaging Networks, while ensuring data quality and reliability.
Senior Snowflake Engineer — Build Scalable Data Platform
Design and implement Snowflake-native data solutions using Snowpark, Python, and ETL/ELT tools to build a modern cloud data platform with performance, security, and cost optimization.
ETL Test Automation Engineer – Azure Data Platform
Designs and runs automated tests for Azure-based ETL pipelines, data migrations, and cloud data platforms, ensuring data quality and integrity across enterprise systems.
Senior Snowflake Engineer - Data Platform & Apps
Designs and builds Snowflake-native data pipelines and warehouses using Python and SQL, while implementing governance and CI/CD for a Toronto-based data solutions company.
Full Stack Data Science Engineering Specialist
Build and deploy AI/ML models and analytics pipelines to drive business decisions in banking, using Python, PySpark, SQL, and cloud platforms like Azure.
Data Platform Engineering Manager
Lead a team to build and operate a Databricks-based data platform that ingests, transforms, and delivers enterprise technology data for analytics, reporting, and AI use cases in a large financial institution.
Senior Data Platform Engineer
Build and maintain a governed, AI-ready data lakehouse (Databricks/Snowflake) that unifies SAP, POS, IoT, and unstructured data for analytics, ML, and GenAI use cases.
Lead Data Solution Engineer
Lead the design and delivery of an enterprise-scale HR data platform using Snowflake, ETL/ELT pipelines, and cloud data architecture to modernize HR systems and analytics.
Data Platform Engineering Manager
Lead a team to design and operate TD’s Databricks-based data platform, building pipelines that ingest and transform infrastructure, cyber, cloud, and AI data into reliable, governed enterprise assets for analytics and reporting.
Data Platform Engineer - 7+ Year
Lead the design and build of scalable data pipelines and platforms using Python, PySpark, Hadoop, Databricks, and cloud tools to power analytics, AI/ML, and business intelligence for enterprise clients.
Full Stack Data Science Engineer
Build and deploy AI/ML models and analytics pipelines in Azure to drive data-driven decisions for a retail bank, using Python, PySpark, and Power BI.
Full Stack Data Science Engineer
Build and deploy AI/ML models and analytics pipelines to drive data-driven decisions in banking, using Python, PySpark, Azure, and Power BI.
Data Platform Engineer
Designs and governs BigQuery databases for a real estate asset management company, ensuring efficient data storage, access control, and cost optimization while collaborating with data engineers and business teams to build scalable analytics pipelines.
Data Solutions Engineer
Build and deliver data-driven business solutions, including dashboards, automation tools, and integrations using SQL, Python, Power BI, and APIs to improve decision-making and processes.