Principal Data Engineer - Ecommerce Company

8+ years of experience in data infrastructure, analytics engineering, or backend engineering. Deep hands-on experience with modern data warehouses (Snowflake, Amazon Redshift, or similar). Expert-level SQL skills and strong proficiency with Python. Proven experience owning and scaling Looker LookML and semantic layers. Experience designing and implementing ETL/ELT pipelines and orchestration workflows (e.g., Apache Airflow or similar). Strong background in data modeling, data architecture, and performance optimization. Experience with distributed systems and cloud platforms (AWS preferred). Demonstrated ability to set technical direction, influence architecture, and collaborate across engineering and business teams. Excellent communication skills for partnering with executives, analysts, engineers, and cross-functional teams.

Own the end-to-end data ecosystem, from raw data ingestion to curated datasets. Architect, implement, and scale data pipelines and warehouse infrastructure. Lead the design, development, and maintenance of core Looker/LookML models. Define and evolve the semantic layer. Partner with stakeholders to translate business goals into data architecture and modeling decisions. Build and enhance internal data applications, services, and tools. Implement rigorous data quality, governance, monitoring, and alerting. Establish standards and best practices for data modeling, ETL/ELT, and BI development. Act as a technical mentor and architectural influencer.