Data Platform Engineer

As a Data Platform Engineer at Rain, you own the data platform that powers a global stablecoin payments infrastructure serving over 100 organizations worldwide. You'll design and run platforms for both batch and streaming, managing the warehouse, streaming infrastructure, orchestration, BI, ML capabilities, and governance that enable data engineers, analysts, and scientists across the company to operate reliably and turn data into decisions. Rain is a $1.95B company backed by ICONIQ, Sapphire Ventures, Norwest, Galaxy Ventures, and others, and your platform will secure some of the most sensitive data a company handles: cardholder, ledger, and partner data across many countries.

What you'll do

• Design and build data platforms at scale for both batch and streaming, choosing storage, compute, and processing based on latency, cost, and reliability needs
• Own the infrastructure for BigQuery, streaming such as Pub/Sub or Kafka and Dataflow or Flink, Dagster+, and Lightdash as code, including environments, CI/CD, and deploys
• Own access and governance: IAM, policy tags, PII contracts, masked and no-PII access paths, and audit logs, across tables and streams
• Provide ML platform capabilities: feature pipelines, training data, and serving real-time features to fraud and risk models
• Build platform tooling: templates, CI checks, schema registry and data contracts, catalog, and lineage
• Monitor platform reliability, latency, and cost, and fix what is slow or expensive
• Design how backend events and CDC land in the warehouse, and advise backend pods on event design
• Respond to platform incidents and access requests, and automate the repetitive ones away

What you bring

• At least 4 years building and running data platforms in production on a cloud provider such as GCP, AWS, or Azure, in both batch and streaming (you have operated infrastructure for each, not only one)
• Experience designing data platforms at scale: storage and compute choices, multi-team access, reliability, and cost
• Experience operating cloud data warehouses and real-time stores such as BigQuery and ClickHouse
• Experience operating streaming infrastructure such as Pub/Sub, Kafka, Dataflow, or Flink, including retention, schema evolution, replay, and lag monitoring
• Experience operating batch infrastructure: orchestration such as Dagster or Airflow, CI/CD, and environments
• Infrastructure as code with Terraform
• Experience with access control and data governance, such as IAM, column- or row-level security, and PII handling
• Strong Python and SQL
• Proficiency using AI tools to learn new skills and accelerate your work, while taking responsibility for checking the output

Nice to have

• ML infrastructure experience, such as feature stores, Vertex AI, or model serving
• Experience in regulated environments such as payments, banking, PCI, or SOC 2
• Experience with data catalogs and lineage tools
• Experience with cost optimization in BigQuery, ClickHouse, or Snowflake
• Experience with CDC tools such as Datastream or Debezium

What we offer

• Flexible time off with a minimum of 10 days required annually
• Flexible working: work from home, from an office, or hybrid; new team members receive a stipend to set up a home workspace
• For US-based employees: company covers 95% of health, dental, and vision plan costs and 90% for dependents, plus a 100% company-subsidized life insurance plan
• 401(k) with a 4% company match
• Equity option plan for all team members
• Monthly stipend for health and wellness spending such as gym memberships, fitness classes, massages, and acupuncture
• In-office meals for those working in the office, covered with a DoorDash credit
• Team and company offsites, both domestic and international

About Rain

Rain is a global stablecoin payments platform enabling enterprises, neobanks, platforms, developers, and AI agents to move, store, and use stablecoins instantly and compliantly. As both a Visa and Mastercard Principal Member, Rain issues cards accepted at over 175 million merchant locations in more than 220 countries and territories, and is trusted by over 100 organizations worldwide.