Senior Finance Data Engineer
TorontoFull-TimeSeniorAccounts / Finance
Build AI-Powered Finance Infrastructure
- Design and deploy AI agents that automate data fetching, analysis, reporting, and forecasting workflows
- Architect data pipelines connecting financial planning systems (Adaptive) to Snowflake and downstream applications
- Build semantic layers that enable non-technical finance team members to access data through natural language
Create Finance Tools & Products
- Develop internal tools that transform manual finance processes into automated, scalable products
- Build dashboards and self-service interfaces that eliminate analyst bottlenecks
- Create systems that enable managers to answer their own headcount, budget, and forecast questions without finance intervention
Own Data Architecture for Finance
- Organize finance data for best-in-class LLM capabilities
- Design data models that support automated analysis, real-time querying, and AI agent interactions
- Establish data quality frameworks and governance for financial systems
Drive Automation at Scale
- Identify high-value automation opportunities across Finance (accruals, reporting, forecasting, variance analysis)
- Implement workflow automation using tools like Gumloop, Claude, and custom-built agents
- Measure and improve automation accuracy, reducing manual intervention over time
Technical Foundation
- 3+ years of experience building data systems in a finance, analytics, or data engineering role
- Advanced SQL proficiency with ability to design complex data models and optimize query performance
- Production experience with Python for data engineering, automation, and AI agent development
- Hands-on experience with modern data warehouses (Snowflake, BigQuery, or similar)
- Track record of building and deploying AI agents or LLM-powered applications in production environments
AI & Automation Expertise
- Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
- Experience architecting semantic layers or natural language interfaces for data access
- Familiarity with AI orchestration frameworks (LangChain, LlamaIndex, or similar)
- Proven ability to identify high-ROI automation opportunities and implement end-to-end solutions
- Experience with workflow automation tools and API integrations
Data Architecture & Systems Design
- Strong data modeling skills with focus on enabling both human analysts and AI agents
- Experience designing data pipelines that connect planning systems (like Adaptive, Anaplan) to data warehouses
- Understanding of data governance, quality frameworks, and metadata management
- Ability to architect scalable systems that reduce analyst bottlenecks and enable self-service
Product & Business Mindset
- Builder mentality with ability to ship functional products, not just analyses
- Experience translating messy business problems into clean technical solutions
- Strong stakeholder management skills with ability to influence senior finance leadership
- Comfort working in ambiguous, fast-moving environments with evolving requirements
- Systems thinking approach to understanding complex problems and their root causes
Bonus points if you have
- Experience in fintech, real estate tech, or high-velocity transaction businesses
- Background in financial planning & analysis (FP&A) or corporate finance
- Familiarity with finance-specific tools (Adaptive Insights, NetSuite, etc.)
