Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. Are you passionate about shaping the foundation of data-driven decision-making? We are seeking a skilled Expert Data Modeler to join our talented team. The role of the Expert Data Modeler is to lead the collection of business requirements to be translated into efficient data structures, while ensuring data integrity and usability. A core responsibility of this role is to design, implement, and maintain data models that serve as the backbone of our organization's data infrastructure. You will also be a key contributor of a center of excellence to set data design standards for the practice. The Expert Data Modeler brings technical expertise to ensure data integrity, quality and accuracy. Understand and translate complex business data and analytics requirements to lead the hands-on creation of conceptual, logical and physical data models Lead the definition of source to target mappings to describe data transformations Assess and produce data analytics artefacts including data model, mapping, data flows, data lineage, metadata documentation and transformations, ensuring the integration in the technical architecture and the alignment with data quality and governance guidelines Perform profiling and data analysis using advance SQL / Python techniques on multiple platforms, including Databricks, Netezza, SQL-Server, Oracle, etc. Participate in the delivery and support of data quality, data consolidation and data migration initiatives Perform design reviews and improve the effectiveness of data design and management Lead the data analytics design practice by defining and maintaining standards and best practices Provide guidance, onboarding and mentorship to new data designers Lead the troubleshooting of data issues within the business and present solutions and recommendations Collaborate with various stakeholders including Architecture, Data Engineers, Product Management, DBAs, Infrastructure and Data Governance teams Bachelor's degree specializing in Mathematics and Statistics / Computer Science / Business Analytics / or other quantitative field, related degree or equivalent experience 10 years and more overall work experience Minimum 5 years of data design and data modeling experience Strong experience in requirements gathering, process analysis and workflow modeling Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Experience with data design tools (Erwin Data Modeler r12.Experience with dimensional modeling and relational database modeling techniques Advanced SQL skills to support data profiling, unit testing and data extraction Experience in a Data Lake, Data Warehouse/Business Intelligence or relevant data environment Proficiency working with Azure Data Lake (ADLS), Azure Data Factory and Databricks Experience working with DevOps CI/CD, Azure DevOps or GitHub Exposure to data modeling and data architecture best practices Expert ability to identify data gaps and assess end-to-end data requirements Assets Experience in real time data streaming and loading Experience modelling data for data science projects Experience working with Scale Agile Methodology (SAFe) Experience with semi-structured and unstructured data Familiar with Data Lakehouse architecture Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship.