Data Platform Engineer

About the role

Rain is a stablecoin payments platform for enterprises, neobanks, platforms, developers and AI agents, issuing cards accepted at more than 175 million merchant locations. Its data platform holds sensitive cardholder, ledger and partner data across many countries. The company is looking for a Data Platform Engineer to own the platform used by its data team and engineering pods: the warehouse, streaming infrastructure, orchestration, BI, ML platform, access controls and tooling.

Key responsibilities

• Design and build data platforms at scale for batch and streaming, choosing storage, compute and processing based on latency, cost and reliability.
• Own BigQuery, streaming (Pub/Sub, Kafka, Dataflow, 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.
• Provide ML platform capabilities: feature pipelines, training data and real-time feature serving for fraud and risk models.
• Build platform tooling: templates, CI checks, schema registry, data contracts, catalog and lineage.
• Monitor 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.

Required profile

• At least 4 years building and running data platforms in production on a cloud provider (GCP, AWS or Azure), in both batch and streaming.
• Experience designing data platforms at scale, with multi-team access, reliability and cost considerations.
• Experience operating cloud data warehouses and real-time stores such as BigQuery and ClickHouse.
• Experience with streaming infrastructure (Pub/Sub, Kafka, Dataflow, Flink) including retention, schema evolution, replay and lag monitoring.
• Experience with batch infrastructure: orchestration (Dagster or Airflow), CI/CD and environments.
• Experience with access control and data governance such as IAM, column- or row-level security and PII handling.

Required skills

• Infrastructure as code with Terraform.
• Strong Python and SQL.
• Nice to have: ML infrastructure (feature stores, Vertex AI, model serving), regulated environments (PCI, SOC 2), data catalogs and lineage tools, cost optimization in BigQuery, ClickHouse or Snowflake, CDC tools (Datastream, Debezium).

What we offer

• Unlimited vacation with a minimum of 10 days taken per year.
• Flexible working: work from home, in an office or both; a home workspace stipend for new hires.
• Benefits covering 95% of health, dental and vision costs and 90% for dependents, plus a fully subsidized life insurance plan.
• 401(k) with a 4% company match and an equity option plan.
• Monthly health and wellness stipend and in-office meals covered with a DoorDash credit.
• Team summits, including offsites.