Principal Engineer – Data Platform

At Safe Security, we are building Cyber Super Intelligence (CSI) — a next-gen system of intelligence that autonomously predicts, detects, and remediates cyber threats. We operate with radical transparency, high trust, and a culture-first mindset (no “brilliant jerks”). You’ll join a team that values ownership, growth, technical rigour, and impact. The role of Principal Engineer – Data Platform is to drive the next wave of architectural direction and foundational data capabilities that power Safe’s multi-tenant data platform, analytics, and intelligence systems.

Requirements

• 10+ years in software/data engineering, including 4+ years as a senior/lead/principal engineer in data platform, backend, or infrastructure systems
• Deep hands-on experience with Apache Iceberg and modern lakehouse architectures
• Strong understanding of partitioning strategies, schema evolution, compaction, snapshotting, and large-scale table optimization
• Proven track record designing and building large-scale data pipelines, including batch and streaming systems, event-driven architectures, and data ingestion frameworks
• Expert proficiency with Python, Go, or TypeScript (or equivalent); familiarity with multiple languages is a plus
• Deep experience with data lakes (S3), and systems like Kafka, Spark, Flink, or equivalent processing frameworks
• Hands-on experience with AWS (or equivalent), containerization (Docker), orchestration (ECS/Kubernetes), and IaC (Terraform/CloudFormation)
• Expertise in data observability, pipeline monitoring, data quality systems, SLAs, and failure recovery mechanisms
• Strong understanding of data isolation, governance, access control, and secure data design in multi-tenant systems
• Excellent written and verbal communication. Comfortable influencing cross-functional stakeholders across geographies
• Strong fundamentals in system design, tradeoff analysis, and building scalable data systems

Benefits

• unlimited vacation policy
• high-trust work environment
• commitment to continuous learning

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