Principal Data Engineer - PerfectScale by DoiT

DoiT is a global technology company that helps cloud-driven organizations leverage the cloud for business growth and innovation. The Principal Data Engineer will design and build large-scale backend services and high-throughput data pipelines while also leading architectural decisions and technical initiatives for the PerfectScale platform.

Responsibilities:

• Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies
• Lead system-wide architectural decisions, focusing on data flow, performance, and resilience. Actively contribute to the codebase with high quality code
• Lead major technical initiatives, reduce technical debt and ensure the platform meets the reliability and scalability SLAs. Champion best engineering practices, code quality, testing and maintainability
• Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers

Requirements:

• 8+ years of backend engineering experience, with 3+ years architecting high-load systems or data pipelines in a production environment
• Deep expertise in distributed systems using modern languages (Go, Java, Rust, or Python)
• Strong, hands-on experience with relational and analytical databases (Postgres, ClickHouse is preferred)
• Proven experience with microservices, containers, and modern DevOps practices (Docker, Kubernetes, GitOps, CI/CD)
• Demonstrated ability to combine hands-on coding with architectural leadership, including strong debugging, benchmarking, and performance optimization skills
• Deep Golang expertise
• Deep Kubernetes Knowledge
• Experience with modern data engineering technologies: Spark, Trino, Iceberg, Parquet, ClickHouse, DBT
• DBA background (relational, OLAP, columnar)
• Expertise in telemetry and time series
• Cloud expertise (AWS, GCP, Azure)