Hybrid FinOps Data Platform Engineer for Cost Optimization

IT Accel, Inc.; Toronto; Hybrid; CAD 110,000 - 180,000; Full time

Job summary

IT Accel, Inc. seeks a senior data professional to design and maintain FinOps data pipelines and analytics, enabling trusted cost datasets and self-service insights. The role emphasizes integration of billing, metadata, CMDB, and vendor data with a focus on cost reporting, forecasting, and auditability.

You will build dashboards and models for unit economics, TCO, and ROI, collaborating with Engineering Analytics to deliver automated insights and alerts in a hybrid onsite/remote environment.

Qualifications

• 10 years of experience in data engineering, analytics engineering, BI engineering, financial data analytics, or related data-focused role.
• University degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, Finance, Business Analytics, or related field.
• Strong 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 and reporting tools such as Power BI, Tableau, Looker, or similar platforms.
• Strong understanding of data quality, reconciliation, controls, lineage, documentation, and governance.

Responsibilities

• 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 with 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, total cost of ownership (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.

Skills

Data engineering

Analytics engineering

BI engineering

Financial data analytics

Education

University degree in a relevant field (CS / Data Eng / IS / Eng / Math / Finance / Business Analytics)

Tools

Databricks

Snowflake

BigQuery

Azure Synapse

Microsoft Fabric

SQL Server

Power BI

Tableau

Looker

Job description

IT Accel, Inc. seeks a senior data professional to design and maintain FinOps data pipelines and analytics, enabling trusted cost datasets and self-service insights. The role emphasizes integration of billing, metadata, CMDB, and vendor data with a focus on cost reporting, forecasting, and auditability.

You will build dashboards and models for unit economics, TCO, and ROI, collaborating with Engineering Analytics to deliver automated insights and alerts in a hybrid onsite/remote environment.