FinOps Data Engineer

New

SupabaseCloud infrastructure

We hire globally. We believe you can do your best work from anywhere.Full-Time

Salary not disclosed

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Job Details

Have strong AWS expertise and working knowledge of GCP pricing, billing structures, and cost optimization.
Have data engineering experience with dbt, BigQuery or an equivalent modern warehouse, and SQL at scale.
Understand analytics data modeling, including dimensional modeling, incremental models, and testing.
Have data science fundamentals in statistical forecasting, anomaly detection, and experimentation.
Have automation and scripting skills with Python, Terraform or Pulumi, Lambda, or Bash.
Be comfortable with AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI or dashboarding tools.
Be able to analyze cost data and present it clearly to technical and non-technical audiences.
Have experience in data analytics, data engineering, or data science in a FinOps, cloud cost management, or cloud governance context.
Experience with a cloud cost management platform such as CloudZero or Vantage is a plus.

Analyze AWS and GCP billing, usage, and cost trends to identify and deliver savings.
Build and maintain BigQuery and dbt models that transform billing and usage data into reconciled FinOps marts.
Model unit economics and margin by product line and customer segment.
Build forecasting models, statistical anomaly detection, and rigorous estimates of savings opportunities.
Maintain tagging policies, cost allocation, and chargeback or showback.
Automate cost reporting, anomaly detection, alerting, and cost-policy enforcement using scripts and infrastructure as code.
Partner with Engineering to incorporate cost considerations into architecture decisions.
Support Finance with budget tracking, financial KPIs, dashboards, and self-serve analytics.

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