Principal Data Engineer

📋 Description Architect the data platform for scalable analytics and AI-powered capabilities. Build and optimize ingestion pipelines (CDC, streaming with Kafka/Flink, and batch). Tame schema complexity with nested, evolving source data and tradeoffs. Serve AI and analytics consumption with data products for BI and AI workloads. Own data quality, contracts, lineage, and observability to ensure data trust. Drive cost-aware architecture with Snowflake optimization and governance. 🎯 Requirements 8+ years of professional software engineering experience with distributed data systems. Deep hands-on with Snowflake, Apache Kafka, Apache Flink, and CDC tooling (Debezium or similar). Experience with AWS and Terraform, plus CI/CD automation. Strong programming in Python, Java, and SQL; production-grade code and data modeling. Track record designing data contracts, data quality, lineage, and data trust. Excellent cross-functional communication and mentoring of engineers across teams. 🎁 Benefits Comprehensive medical, dental, vision, disability, and life benefits. Health Savings Account (HSA) with employer contribution. 401(k) matching with immediate vesting on employer contributions. Flexible PTO. 8 paid holidays and 5 paid days for Annual Holiday Week. 18 weeks paid parental leave.