About the Role We’re looking for a FinOps Data Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You’ll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams. This role owns the data side of that mission: the models, pipelines, and analysis that make cost, usage, and margin numbers trustworthy across the company.

You’ll do the schlep work other teams don’t have time for, digging into a bucket’s access pattern, writing the dbt model or Python pipeline that ships the fix, building the cost-vs-revenue mart that answers a margin question once instead of every time, and chasing a number until it reconciles. Solid communication matters as much as technical depth, you’ll regularly explain a savings case or a data model’s implications to an engineering team, a finance stakeholder, and a leadership audience in the same week.

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. 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.

- 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: Tagging policies, cost allocation, and chargeback/showback so engineering teams can see and own their own spend. Write the scripts and infrastructure-as-code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review.
- Support budget tracking and financial KPIs; build dashboards and self-serve analytics engineering and finance can both read.

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.
- 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. 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.
- Fully Remote

There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

- 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. Flexible Work

Professional Development

Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

- ~20+ languages spoken
- 540,000+ community members

We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

📌 Data Engineer SQL - Remote (m/w/d) (India)
🏢 Supabase
📍 India