Director, Cloud Data Lakehouse at Dr Bill RBC Ventures

Mississauga, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

0.0

Posted On

03 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Technologies, Snowflake, Data Governance, Data Pipelines, Data Warehousing, Agile Development, DevOps, Machine Learning, Data Quality, Collaboration, Communication, Data Modeling, ETL Processing, Software Development, Database Development

Industry

Banking

Description

Job Description What is the opportunity? This is an opportunity to work at RBC Insurance Active Data Platform team with a group of professionals 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 an experienced and innovative Director of Data Engineering who will lead the strategy, architecture, and delivery of Insurance Cloud Data Lakehouse using Snowflake, enabling advance analytics, regulatory reporting, and AI-driven insights for the Insurance business. This role combines deep technical leadership with business partnership – bridging enterprise data engineering and insurance domain understanding to accelerate data-drive decision-making. 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? Collaborate closely with Insurance business leaders, product managers, data scientists, and IT stakeholders across various lines to translate data needs into engineering priorities and deliver trusted, high-quality data assets. Define and own the data engineering roadmap aligned with enterprise data strategy and the business transformation agenda/roadmap. Design and implement a scalable, secure, and governed data Lakehouse on Snowflake, integrating structured, semi-structured, and unstructured data across distribution systems. Lead the technical discussion, collaborate with enterprise architects to drive the design and development of target architecture for the Cloud Data Lakehouse, integrating Snowflake, dbt, Kafka/streaming, and data models/governance layers. Oversee the design and deployment of Snowflake-based data Lakehouse, partner with business to prioritized data domains (Policy, Claims, Risk, Customer, Broker, etc. ). Enable data sharing and consumption models for analytics, Power BI dashboards, and AM/ML applications. Modernize legacy data environments (on-premises warehouses, siloed data marts) into a unified cloud platform supporting real-time analytics, self-service BI, and AL/ML workloads. Establish data engineering standards for the Data Transformation Journey, ensure data quality in collaboration with Data Governance, Architecture, and Data Consumers. . Stay abreast of the latest advancements in Snowflake platform, AI/ML, particularly in Agentic AI and process automation, and evaluate their applicability and potential for the insurance sector. Establish and enforce robust data quality checks and monitoring frameworks, ensure the resilience, uptime, and disaster recovery capabilities of all production systems. What do you need to succeed? Must Have 8+ years of experience in data engineering, with a focus on modern data stacks, Snowflake, and cloud technologies 3+ years of experience in a leadership role, managing and guiding high-performing data engineering teams Hands-on experience with Snowflake, including data modeling, data warehousing, and data governance Experience with cloud computing platforms, such as AWS, GCP, or Azure Strong understanding of data engineering principles, including data pipelines, architectures, and workflows Experience with data governance, security, and compliance frameworks and regulations Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Bachelor's degree in Computer Science, Information Technology, or a related field Nice to Have Knowledge of data engineering tools, such as Apache Beam, Apache Spark, or AWS Glue Experience with DevOps practices and tools, such as CI/CD pipelines and containerization Knowledge of data science and machine learning concepts, and experience working with data scientists and data analysts Experience with agile development methodologies and version control systems, such as Git Certification in Snowflake, cloud computing, or data engineering Education Bachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering or a related quantitative field Master’s or Ph.D. preferred 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, Quality Management, Requirements Analysis, Software Product Management, Waterfall Model 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: 2025-11-02 Application Deadline: 2025-11-30 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. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.

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Responsibilities

Lead the strategy, architecture, and delivery of the Insurance Cloud Data Lakehouse using Snowflake. Collaborate with business leaders to translate data needs into engineering priorities and ensure high-quality data assets are delivered.