Description We are looking for a highly skilled Principal Data Engineer to join our team. In this role, you will lead architectural decisions and set standards for how we design, build and maintain our data platform and data-driven systems. This is a hands-on role with no direct people management, but you will act as a strong technical reference, guiding others and driving initiatives that shape the future of our data ecosystem. You will work across data engineering and personalization use cases, helping transform raw data into actionable insights and intelligent user experiences.Responsibilities Make architectural and design decisions for our data pipelines and infrastructure, ensuring scalability, performance and long-term maintainability. Write production-ready TypeScript code (AWS Lambda, CDK, Zod validation) to support data and backend workflows. Design, build and maintain data pipelines using AWS services and databases such as Aurora, Snowflake and DynamoDB. Develop and optimize ETL/ELT processes to ingest, transform and load data efficiently. Work with vector databases and embeddings to enable semantic search and personalization capabilities. Apply personalization concepts such as scoring, reranking and segmentation to improve data-driven user experiences. Optimize data models and structures within Snowflake for cost-efficiency and usability. Ensure data quality, accuracy and consistency through validation, monitoring and testing practices. Collaborate with engineers, analysts and product stakeholders to translate business requirements into scalable technical solutions. Review code, contribute to architectural discussions and mentor other engineers. Continuously evaluate new technologies and methodologies to improve our data platform.Technology Requirements 5+ years of professional experience in data engineering or related roles. We are flexible for candidates with strong recent experience in AWS data pipelines and vector embeddings or personalization systems. Strong experience with AWS services, especially Lambda, CDK and data-related infrastructure. Experience writing production TypeScript. Solid knowledge of Snowflake and relational databases such as Aurora or PostgreSQL. Experience building and maintaining data pipelines in cloud environments. Advanced SQL skills. Experience working with vector databases and embeddings for semantic search or similar use cases. Understanding of personalization concepts such as scoring, reranking and segmentation. Experience with Git and collaborative development workflows. Experience with BI tools or big data technologies is a plus.Profile Requirements Strong technical leadership and ability to make architectural decisions. Comfortable owning complex initiatives end to end. Strong communication skills and ability to collaborate cross-functionally. Proactive, hands-on and comfortable in evolving environments.