We are building a future-ready domain driven Data warehousing platform that empowers high-impact business domains—Risk, Finance, Commercial, Product, and Compliance—to work with trusted, well-modeled data. Our Data team owns the end-to-end data architecture across ingestion, modeling, quality, and enablement.
As a Principal Data Engineer, you will report directly to the CTO, lead cross-functional data infrastructure efforts, design high-performance pipelines on Snowflake and AWS, enable curated exports from SAP BW via S3, and support company-critical initiatives like banking partnerships and anti-money laundering systems. You will work closely with cloud infrastructure, Finance, Risk, Compliance, and Domain Engineering teams to shape the next stage of our cloud-native data strategy.
Your Key Responsibilities:
- Define and drive the technical architecture of our cloud-native data platform, spanning AWS (S3, IAM, Glue, EC2), Snowflake, Kafka, SAP BW and dbt.
- Partner with business and data stakeholders (Finance, Risk, Product Engineering, Compliance, CSC) to design resilient, auditable, and reusable data flows that power reporting, analytics, and product use cases.
- Own the enablement of curated data sets from SAP BW via OpenHub to S3 and ensure traceability across ingestion, modeling, and exports.
- Define best practices in cost monitoring, FinOps, and CI/CD for data to ensure stability and performance at scale.
- Champion data as a product mindset—modeling, documentation, ownership, and quality metrics that enable real business decisions.
- Mentor senior engineers, act as technical reviewer, and help scale Ratepay’s data engineering maturity across use cases and domains.
- Engage with regulatory and audit needs, enabling data lineage, encryption, and Role Based Access Control (RBAC) in line with BaFin and GDPR expectations.