Principal Data Engineer
Core
Principal Data Engineer defining and executing data strategy, owning the end-to-end data platform, and delivering production-grade data solutions for global brands.
Role type
Principal Data Engineer (Microsoft Fabric ecosystem)
Builds
End-to-end data platform, semantic models, real-time streaming pipelines, and governed data surfaces for reporting and AI/ML.
Domain
Data Engineering / Microsoft Fabric / Azure Cloud
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Microsoft Fabric (Lakehouse, Event streams, Semantic models, Direct Lake), Power BI (DAX, semantic modeling), SQL optimization, Azure DevOps CI/CD, AI coding assistant evaluation, data modeling (star/snowflake, SCD), pipeline orchestration, performance tuning, data governance.
Preferred skills
Azure Data Factory, Synapse Analytics, ADLS Gen2, Confluent Cloud/Kafka, MDM platforms, cross-tenant Azure architecture, business analysis background, Azure Data Engineer certification.
Technologies
Microsoft Fabric, Power BI, SQL Server, Azure SQL, Postgres, Azure DevOps, Kafka, Confluent Cloud, Delta tables.
Responsibilities
Design dimensional models and semantic layers; build scalable batch and streaming pipelines; optimize query performance and pipeline reliability; enforce data standards and governance controls; mentor team members and influence technical direction.
Seniority
Principal, hands-on IC with strategic influence
