Principal Data Engineer

10+ years of experience in data engineering At least 3 years in a leadership or principal role Proven track record designing and implementing large-scale, enterprise-grade data pipelines and architectures Expertise in cloud platforms such as AWS and Azure Familiarity with Snowflake is a strong plus Strong proficiency in SQL, Python, and modern data modeling practices Hands-on experience with batch and streaming frameworks such as Spark, Kafka, Kinesis, and Hadoop Knowledge of ETL/ELT paradigms and modern data integration/orchestration tools Familiarity with Data Lakehouse architectures, data mesh concepts, and hybrid/multi-cloud strategies Excellent leadership, communication, and stakeholder management skills Ability to make scalable architecture decisions and apply modern engineering patterns

Lead and mentor a team of data engineers Architect and implement end-to-end data pipelines across cloud platforms Collaborate with analysts, data scientists, and product teams Establish and enforce standards for data quality, governance, and observability Design and optimize data models, ELT/ETL processes, and pipeline architectures Implement modern CI/CD, testing frameworks, and data pipeline deployment practices Apply advanced tools and techniques, including AI-driven approaches Stay current with emerging trends in data engineering