Principal Data Engineer

Responsibilities

• Lead Data Architecture and System
• Own the technical vision and architecture for scalable, resilient, and cost-effective data platforms and pipelines.
• Design end-to-end data systems spanning batch and streaming ingestion, transformation, data modeling, storage, orchestration, serving layers, and consumption patterns.
• Make and document high-quality architecture decisions, including tradeoffs involving performance, reliability, scalability, latency, security, maintainability, and cost.
• Define reusable architectural patterns for common data engineering challenges, including CDC, event-driven data flows, schema evolution, slowly changing dimensions, data quality, and multi-tenant or domain-oriented data models.
• Establish clear boundaries and interfaces between operational systems, data platforms, analytics layers, and downstream applications.
• Lead technical design reviews for high-impact initiatives and provide clear, constructive direction on implementation approaches.
• Identify architectural risks early and drive plans to mitigate technical debt, single points of failure, data inconsistency, and operational fragility.
• Set Engineering Standards and Best Practices
• Establish and continuously improve standards for data engineering development, testing, deployment, documentation, monitoring, incident response, and lifecycle management.

Languages