supabase - FinOps Data Engineer
Responsibilities
• Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation. • Build and maintain the FinOps data pipeline: Design and run the BigQuery/dbt models that turn raw billing and usage data (CUR, Storage Lens) into reconciled, trustworthy mart tables, the foundation everything else in FinOps is built on. • Build cost-vs-revenue and customer segmentation models: Model unit economics and margin by product line and customer segment, and extend coverage as new products and segments come online. • Apply data science to cost and usage data: Build forecasting models, detect anomalies statistically rather than by threshold alone, and quantify savings opportunities (e.g. storage lifecycle, request-cost patterns) with rigor a spreadsheet can't match. • Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/showback so engineering teams can see and own their own spend. This is foundational work other savings work depends on. • Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write the scripts and infrastructure-as-code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review. • Partner with engineering on architecture decisions: Bring cost into the room early, cost-efficiencies are cheaper to get right at design than to retrofit. • Work with Finance on forecasting and reporting: Support budget tracking and financial KPIs; build dashboards and self-serve analytics engineering and finance can both read. • You Might Be a Good Fit If You • Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics. • Have data engineering depth: dbt, BigQuery (or an equivalent modern warehouse), SQL at scale, and data modeling for analytics (dimensional modeling, incremental models, testing). • Have data science fundamentals: statistical forecasting, anomaly detection, and experimentation, and know when a rigorous model beats a rule of thumb. • Have automation and scripting skills: Python, Terraform/ pulumi, Lambda, or Bash. • Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding (we use Hex). • Have experience with, or are comfortable picking up, Linear and Notion as the system of record for tracking and documenting FinOps work. • Experience with a dedicated cloud cost management platform (e.g. CloudZero, Vantage, or similar) is a plus, not required. • Can analyze cost data and present it clearly to both technical and non-technical audiences. • Have prior experience spanning data analytics, data engineering, or data science in a FinOps, cloud cost management, or cloud governance context. • Are energized by doing the unglamorous, high-leverage work (the schlep) that unblocks other teams, and by working cross-functionally without positional authority.
Benefits
• We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. • Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. • Tech Allowance • Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. • Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. • Annual Off-Sites • Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. • Flexible Work • We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. • Professional Development • Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
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