Principal Data Engineer

Primary Responsibilities: Data Architecture & Canonical Model Design Design, build, and maintain canonical data models that serve as the single source of truth across analytics and AI use cases Define and enforce data contracts between upstream systems and downstream consumers Handle schema evolution, versioning, and drift management proactively Ensure alignment between business semantics and physical data models Data Engineering & Pipeline Development Build scalable and efficient data pipelines using Snowflake, SQL, and Python Process both structured and semi-structured data (JSON, logs, API payloads) Optimize transformations for performance, cost, and scalability Implement reusable, modular pipeline components Advanced Data Modeling for Analytics Design dimensional and normalized data models for reporting, ML, and AI workloads Optimize data models for BI tools, self-service analytics, and LLM consumption Develop metric-layer ready models to ensure consistency across reporting Data Go...