Lead Data Modeler at Royal Bank of Canada

Mississauga, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Snowflake, SQL, Data Warehousing, Data Engineering, Problem-Solving, Communication, Technical Leadership, Data Integration, Documentation, Quality Assurance, Medallion Architecture, Data Management, Cloud Computing, ETL Processing, Big Data Management

Industry

Financial Services

Description

Job Description What is the opportunity? This is an opportunity to work at RBC Insurance Active Data Platform team with a group of technology specialists dedicated to deliver solution to Insurance business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and processes. You will have an opportunity to make a real difference by working on some impactful and meaningful projects. We are seeking a skilled Data Modeler to design and implement a Medallion data model in Snowflake, a cloud-based data warehousing platform. The successful candidate will play a crucial role in structuring and organizing our data to support efficient analytics and reporting. The candidate will be working closely with business stakeholders and collaborating with architects to make decisions that drive business growth. You will design, develop, and maintain large-scale data warehouses and data models on Snowflake, ensuring data quality, security, and scalability. This role will focus on the application-level design and implementation, ensuring seamless integration with existing systems, and providing technical leadership to the development team. Our applications are used by RBC staff and clients making your contributions highly impactful and visible, directly contributing to the success of RBC. We deliver digitally enabled applications that are both internal and internet facing. We build cloud data lakehouse, stable web, and back-end applications which are resilient, scalable and high performance that avoids failure and focused on delivering best client experience. We continuously update our tech skills and upgrade our platforms to match industry standards. What will you do? Technical Leadership: collaborate with the architects and business users to understand the requirements, to develop and implement data models that align with business objectives. Business Stakeholder Management: build strong relationships, communicate technical concepts and solutions to business stakeholders, providing solutions that meet their requirements. Data Engineering: understand modern data stack, data management frameworks. And design, develop, and maintain large-scale data warehouses and pipelines on Snowflake, ensuring efficient use of resources and cost-effectiveness. Design and Development: Create a comprehensive Medallion data model architecture, including bronze, silver, and gold layers, to ensure data quality and consistency. Data Modeling: Develop logical and physical data models, defining tables, relationships, and data transformations. Snowflake Implementation: Utilize Snowflake's features to build and optimize the data model, ensuring scalability and performance. Data Integration: Collaborate with data engineers to integrate various data sources into the Medallion model. Documentation: Maintain clear documentation of the data model design, including data dictionaries and process flows. Quality Assurance: Implement data validation and testing procedures to guarantee data accuracy. Ability to determine alternative methods and processes in order to best support RBC Insurance Application and Data needs. What do you need to succeed? Must Have Strong understanding of business operations and data-driven decision-making 5+ years of experience in data management, with a focus on Snowflake Cloud Data Lakehouse Platform. Experience: Proven experience in data modeling, preferably with Snowflake or similar cloud data platforms. Technical Skills: Proficiency in SQL, data modeling tools, and data warehousing concepts. Medallion Architecture: Understanding of the Medallion data model and its implementation. Problem-Solving: Ability to analyze complex data requirements and design efficient solutions. Communication: Excellent communication skills to collaborate with cross-functional teams. Excellent communication and interpersonal skills, with the ability to work effectively with technical and non-technical stakeholders Strong problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions Experience on multiple projects with multiple interfaces and/or third parties. Successfully and simultaneously managed multiple projects with emphasis on High Impact, High Business Risk, Uncertain Business Requirements and New Technology Nice to Have Certifications: Snowflake certifications (e.g. Snowflake Certified Data Engineer) Knowledge of data engineering tools, familiar with cloud-based data platforms (e.g. AWS, Azure, GCP) Experience with machine learning, artificial intelligence, or other emerging technologies Adaptability, Critical thinking and growing mindset Management and collaboration skills, Verbal and written communication skills Team contributor and care about team members Stay relevant to the current industry trend. What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact Work in a dynamic, collaborative, progressive, and high-performing team A world-class training program in financial services Flexible work/life balance options Opportunities to do challenging work Opportunities to take on progressively greater accountabilities Opportunities to building close relationships with clients Access to a variety of job opportunities across business and geographies #LI-POST #TECHPJ Job Skills Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis Additional Job Details Address: MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA City: Mississauga Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2025-11-25 Application Deadline: 2025-12-31 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Inclusion and Equal Opportunity Employment At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

Responsibilities

The Lead Data Modeler will design and implement a Medallion data model in Snowflake, focusing on structuring and organizing data for efficient analytics and reporting. This role involves collaborating with business stakeholders and architects to ensure data quality, security, and scalability in large-scale data warehouses.