Next Horizon is here. Fueled by investments in talent and technology, our bold strategy to transform is nearly complete.
At Gore Mutual, we’ve always set ourselves apart as a modern mutual that does good. Now, we’re proudly building on that legacy to transform our company—and our industry—for the better.
Our path forward sharpens our focus on business performance, driven by leading technology, innovation and an agile, high-performing culture. With Gore Mutual and Beneva announcing their intent to merge in 2026, we’ll be uniting two well-established, financially strong, and trusted brands to become the strongest mutual insurer in Canada, ensuring Canadians have purpose-driven insurance options for generations to come. Come join us.
This position is responsible for designing, developing and maintaining data infrastructure to support efficient data management and analytics within the organization. It plays a pivotal role in defining and building the foundational data layer, translating business initiatives into robust data models and collaborating closely with cross-functional stakeholders to design, develop, and implement scalable and resilient data pipeline solutions supporting actionable insights for senior executives and business partners.
You will also oversee a team of data engineers and be responsible for building a data centric culture within the team.
What will you do?
Data Modelling, Infrastructure and Design
- Spearhead the development and maintenance of highly scalable, reliable, and resilient systems to advance and enhance our data infrastructure and technology stack.
- Create configuration-driven, scalable, efficient, and robust data pipelines that span across various domains including employee productivity, capacity planning, incentive designs, and reporting.
- Establish and implement data quality checks within pipelines to ensure the integrity and accuracy of incoming data.
Data Strategy
- Define the future state data and analytics platform within the Azure Data ecosystem and lead the migration of legacy data engineering workloads.
- Work with cross-functional teams, including data scientists, data product owners, and business stakeholders to understand their data requirements and provide high-quality data pipeline solutions.
Team Leadership and Development
- Lead and motivate a high-functioning engineering team, providing coaching to empower members and delivery squads.
- Encourage innovation, experimentation, and best practices within the data engineering team.
- Allocate resources, manage workloads, and set goals to ensure timely, budget-compliant project completion.
Security and Compliance
- Implement data encryption, access controls, and authentication to protect sensitive information and comply with privacy regulations.
- Regularly audit compliance to ensure adherence to industry regulations and policies.
- Maintain an incident response plan for prompt action on data breaches and security incidents.
Tool Selection and Evaluation
- Tool Selection: Choose the best data engineering tools and platforms to improve infrastructure and pipelines.
- Cost Analysis: Track and adjust costs of data engineering tools and services to optimize budget.
What will you need to succeed in this role?
- Bachelor’s or master’s degree in computer science, Data Engineering, Software Engineering or a related field.
- 8+ Years of relevant experience required. This includes experience in data engineering, data modelling, data architecture related roles.
- 3+ Years of people management/Leadership experience
- Experience scaling and managing 3+ person teams.
- Experience with designing and architecting data engineering pipelines using AWS/Azure Data technologies with focus on data domains and data platforms.
- Strong understanding of data structures, data modeling, and software architecture.
- Demonstrated ability to provide creative solutions to complex problems; and to translate those solutions into detailed workplans that can be effectively implemented by development teams/squads.
- A proven track-record of building and leading high-performing technology teams by example. Ability to lead, manage and inspire teams both locally and remotely, within a hybrid work environment.
- Strong problem-solving and critical-thinking abilities.
- Strong communication and collaboration skills.
- Continuous learning and staying updated with the latest advancements in Azure Databricks and data engineering are essential for success in this role.
- A result-oriented mindset, with the discipline to build operationally hardened systems, the courage to drive innovation across new capabilities and technologies, and the resilience and perseverance to ‘fail forward’ towards success.
#LI-Hybrid
#IND-HP
Gore Mutual Insurance is committed to providing accommodations for people with disabilities during all phases of the recruiting process, including the application process. If you require accommodation because of a disability, we will work with you to meet your needs. If you are selected for an interview and require accommodation, please advise the HR representative who will consult with you to determine an appropriate accommodation.
Gore Mutual Insurance Toronto, Ontario, CAN Office
320 Bay St, Toronto, Ontario , Canada, M5H4A6
