Principal Data Engineer

We are looking for a highly skilled Principal Data Engineer with strong architectural expertise to design and evolve our next-generation data platform. The role involves defining technical vision, building scalable and reliable data systems, and guiding the long-term architecture that powers analytics, operational decision-making, and data-driven products across the organization.

Requirements

• 8+ years of experience in Data Engineering, with demonstrated architectural ownership.
• Expert-level experience with Snowflake (mandatory), including performance optimization, data modeling, security, and ecosystem components.
• Expert proficiency in SQL and strong Python skills for pipeline development and automation.
• Experience with modern orchestration tools (Airflow, Dagster, Prefect, or equivalent).
• Strong understanding of ELT/ETL patterns, distributed processing, and data lifecycle management.
• Familiarity with streaming/event technologies (Kafka, Kinesis, Pub/Sub, etc.).
• Experience implementing data quality, observability, and lineage solutions.
• Solid understanding of cloud infrastructure (AWS, GCP, or Azure).
• Strong background in DataOps practices: CI/CD, testing, version control, automation.
• Proven leadership in driving architectural direction and mentoring engineering teams.

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion