Responsibilities
- Lead, coach, and develop a team of Lead and Senior Analytics Engineers - driving career growth, performance and a high-trust team culture.
- Stay deeply hands-on: write and review SQL/dbt code, drive technical design, and uphold a high bar for craftsmanship, testing and documentation across our Snowflake + dbt stack.
- Own the roadmap for your team’s portion of the analytics platform - prioritizing work that drives the most business impact and balancing delivery, quality and technical debt.
- Drive Forward’s data centralization vision by partnering with Business Intelligence and wider Analytics group to design and deliver scalable data models, marts, and a reliable semantic layer that serves as the company’s single source of truth.
- Lead the build-out of our semantic layer and metrics standards so key business KPIs are defined once, governed clearly, and consumed consistently across dashboards, models, AI agents, and downstream products.
- Translate ambiguous business problems from leadership and cross-functional stakeholders into well-scoped technical solutions, communicating tradeoffs clearly to both technical and non-technical audiences.
- Champion data quality, observability, and governance - including testing, lineage, cataloging, and incident response - so stakeholders can trust the numbers.
- Drive technical excellence in our dbt project: model architecture, performance tuning, incremental strategies and CI/CD practices that scale as data volume and team size grow.
- Help shape our hiring bar - recruit, interview and onboard exceptional Analytics Engineers as the team continues to grow.
Requirements
- 7+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence with a strong foundation in SQL and dimensional/data modeling.
- 2+ years of people management experience leading senior individual contributors, including driving performance and career development.
- Deep hands-on expertise with dbt and a cloud data warehouse (Snowflake strongly preferred), including incremental models, testing strategies, and macros.
- Demonstrated experience designing and operating a semantic or metrics layer that serves as a trusted source of truth across an organization.
- Track record of partnering directly with senior cross-functional leaders (Finance, Risk, Operations, Product, etc.) to translate business problems into durable data products.
- Excellent written and verbal communication skills - able to make complex technical decisions accessible to executives and non-technical partners.
- Proven ability to coach engineers, raise the technical bar, and deliver consistently against an ambitious roadmap.
Nice to Have
- Experience integrating AI or LLM-based capabilities into the analytics stack (e.g., Snowflake Intelligence).
- Experience in fintech, lending, or another regulated, data-intensive industry.
- Experience with streaming data or CDC pipelines (Streamkap, Fivetran, or similar) and real-time analytics use cases.
- Familiarity with BI tools such as Tableau, Looker, or similar.
- Python proficiency for data transformations or workflow tooling.
Benefits
- comprehensive total rewards package, including but not limited to: medical, dental, vision, a flexible time-off policy, paid parental leave, RRSP match, wellness reimbursement, volunteering days, annual professional development budget, and charitable donation match.
Compensation
Annual Targeted Salary: $170,000-$200,000 CAD Annual Target Bonus: 12%
