Senior Business Systems Analyst modernizing Boeing Canada’s defence sustainment systems and cloud data platforms. Translating mission needs into requirements, analytics, integrations, and reporting solutions.
About the role
- Lead Analytics Engineer leading technical initiatives in a financial technology company focused on AI-ready data insights. Collaborating across teams to enhance the data ecosystem while mentoring engineers.
Responsibilities
- Own the technical architecture and roadmap for our most complex Analytics Engineering initiatives - including semantic layer design, source-of-truth consolidation, and the data foundation for AI and agent-based use cases
- Architect Forward's 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
- Lead the technical design of the AI-ready data platform - making the modeling, metadata, and governance decisions that make Snowflake Intelligence and other AI/agent capabilities trustworthy, performant, and production-ready
- Drive technical excellence across our dbt project: model architecture, materialization and incremental strategies, performance tuning, macros, testing patterns, and CI/CD practices that scale as data volume and team size grow
- Set and uphold a high bar for craftsmanship across the team - defining standards for SQL style, modeling patterns, documentation, and data quality, and modeling those standards in your own work
- Mentor Senior and Analytics Engineers through hands-on code review, pairing, and design feedback - accelerating their growth into stronger technical contributors
- Partner with the Manager of Analytics Engineering on technical strategy, hiring, and roadmap planning - acting as a deputy for technical decisions and unblocking the team on the hardest problems
- Lead deep technical partnerships with Data Science, Data Engineering, and Core Technology - owning schema migrations, feature deployments, and streaming pipeline contributions where Analytics Engineering is on the critical path
- Evaluate and operationalize high-value third-party data sources and emerging tooling (e.g., Snowflake Cortex, semantic layer frameworks, observability tools) and make recommendations that elevate the platform
- Champion data governance and quality at the platform level - including dbt tests, lineage, cataloging, observability, and compliance with security and regulatory standards - so both stakeholders and AI systems can trust the numbers
Requirements
- 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, with a track record of leading complex, cross-cutting technical initiatives
- 4+ years of hands-on production experience with dbt, including advanced patterns such as incremental strategies, macros, custom tests, and CI/CD design
- 3+ years of deep experience with a cloud-based data warehouse (Snowflake strongly preferred), including performance tuning and cost optimization
- Expert-level proficiency in SQL and dimensional data modeling, with a portfolio of durable, well-tested models that have served as foundational layers for an organization
- Demonstrated experience designing and operating a semantic layer or metrics layer that serves as an organizational source of truth
- Proven ability to mentor senior engineers, lead architectural decisions, and influence direction across cross-functional teams
- Excellent written and verbal communication skills - able to drive technical alignment with both engineers and non-technical stakeholders.
Benefits
- medical
- dental
- vision
- a flexible time-off policy
- paid parental leave
- RRSP match
- wellness reimbursement
- volunteering days
- annual professional development budget
- charitable donation match
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Analytics Engineer building GTM pipelines, metrics, dashboards, and AI data tools. Supporting Motive’s platform for safer, more productive physical operations.
Data Analytics Engineer building trusted SQL data systems for Toptal, a global talent network. Owning transformation, governance, warehousing, and AI - enabled analytics foundations.
Analytics Engineer building dbt models, AI - ready datasets, and Tableau reporting for Movable Ink’s content personalization platform. Translating stakeholder needs into trusted metrics and business intelligence.
Principal leading client relationships and delivery teams for Teragonia’s AI operating system for private equity. Driving engagement outcomes, account growth, and cross - functional analytics solutions.
Staff Analytics Engineer leading analytics architecture, dbt models, and semantic layers at Render. Building trusted data foundations for AI - assisted decision - making across the developer cloud platform.
Lead Data/Analytics Engineer powering analytics and AI products for Dutch’s veterinary telemedicine platform. Owning event instrumentation, experimentation, data pipelines, and trusted metrics.
Senior Analytics Engineer building Fulfillment IQ’s Workbench data and analytics engine. Automating messy supply chain data processing into product - ready datasets.
Senior Analytics Engineer building scalable data transformations for Aleph's AI - native FP&A platform. Improving data integrity, pipelines, and models across diverse financial and operational sources.
Lead analytics engineer scaling analytics platforms for PlayStation game studios. Building performant data models and telemetry solutions for Sony’s console games.