Principal Engineer – Data Platform at Safe

📋 Description

• Architect & lead data platform strategy: lakehouse, Iceberg, ingestion, streaming, serving.
• Evaluate architectures; lead design reviews; ensure consistency.
• Operational excellence and scalability: performance, freshness, accuracy, availability.
• Cross-cutting ownership: ingestion, modeling, streaming, quality, lineage, observability.
• Standards & best practices: modeling, schema evolution, partitioning, pipelines, quality.
• Collaboration with Product, AI, Security; own data flows end-to-end.

🎯 Requirements

• 10+ years in software/data engineering; 4+ years as senior/lead/principal.
• Apache Iceberg expertise (mandatory) and lakehouse design.
• Large-scale data pipelines: batch and streaming.
• Python, Go, or TypeScript proficiency.
• Data lakes (S3) and Kafka/Spark/Flink.
• AWS, Docker, Kubernetes, Terraform/CloudFormation.
• Data observability, quality, SLAs, failure recovery.
• Security, multi-tenancy: isolation, governance, access control.

🎁 Benefits

• Unlimited vacation policy
• Culture-first, high-trust environment
• Ownership and autonomy
• Commitment to continuous learning