Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Technology Solutions Pay Details: $96,900 - $136,800 CAD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Job Description: We are hiring a Senior FinOps Data & Automation Engineer to build the data, automation, and analytics foundation for an enterprise FinOps capability. This role will support cost transparency, allocation, forecasting, optimization, governance, and executive reporting across cloud, AI, data platforms, and broader technology consumption. The successful candidate will work closely with FinOps, Finance, Engineering Analytics, Cloud Engineering, Procurement, and Technology leadership to turn complex technology spend data into trusted, auditable, and actionable insights. KEY ACCOUNTABILITIES Build and maintain FinOps data pipelines from ingestion through reporting and self-service analytics. Normalize cloud and technology spend data across provider feeds,



including alignment to standards such as FOCUS where applicable. Integrate billing, usage, tagging, metadata, CMDB, application, owner, finance, contract, and vendor data. Support cost taxonomy, allocation rules, metadata standards, showback, chargeback, forecasting, and auditability. Create trusted datasets for cost reporting by business unit, product, application, environment, owner, platform, and vendor. Build analytics to support budget guardrails, variance reporting, anomaly detection, remediation workflows, and optimization tracking. Support commitment-based spend analysis, including reservation, savings plan, coverage, utilization, and waste reporting. Develop reporting for rightsizing, idle resource cleanup, quota tuning, license reclamation, and other optimization opportunities. Build models and dashboards for unit economics, TCO, ROI tracking, and business outcome-based cost analysis. Partner with Engineering Analytics to deliver enterprise dashboards, automated alerts, recommendations, and workflow automation. Ensure data quality, lineage, reconciliation, documentation, controls, and auditability across FinOps data assets. Reduce manual reporting and spreadsheet dependency through automation.



EXPERIENCE & EDUCATION 5–10 years of experience in data engineering, analytics engineering, BI engineering, financial data analytics, or a related data-focused role. University degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, Finance, Business Analytics, or a related field. Solid experience with SQL, data modeling, ETL/ELT pipelines, and large complex datasets. Experience integrating data across multiple enterprise systems. Experience with data platforms such as Databricks, Snowflake, BigQuery, Azure Synapse, Microsoft Fabric, SQL Server, or similar tools. Experience with BI/reporting tools such as Power BI, Tableau, Looker, or similar platforms. Strong understanding of data quality, reconciliation, controls, lineage, documentation, and governance. Preferred qualifications Experience with Cloud FinOps, technology finance, infrastructure finance, FP&A, or cost management. Familiarity with Azure, AWS, or Google Cloud billing and usage data. Knowledge of cloud tagging, allocation, chargeback/showback, forecasting, reservations, savings plans, anomaly detection, and optimization tracking. Exposure to FOCUS billing data standard, unit economics, AI cost management, data platform economics, or software usage-based contracts. Experience in banking, financial services, regulated enterprises, or large technology organizations. Certifications in FinOps, Azure, AWS, GCP, Databricks, Power BI, or data engineering are assets. Who We Are TD is one of the world's leading global financial institutions and is the fifth largest

📌 Data Engineer Iii (Toronto)
🏢 The Toronto-Dominion Bank (Canada)
📍 Toronto