Director, Cloud Data Lakehouse

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

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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:

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

Application Deadline:

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.

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