Principal Data Engineer
Core
Lead the design, development, and implementation of scalable data engineering solutions within a modern Lakehouse architecture, translating strategic business requirements into robust technical solutions.
Role type
Principal Data Engineer (Lead)
Builds
Scalable data pipelines, enterprise-scale ETL/ELT solutions, and layered data architecture (Bronze, Silver, Gold) for business intelligence and analytics.
Domain
Data Engineering / Cloud Data Platforms
Deliverable
production ML models | product features
Required skills
Lakehouse architecture, Azure Databricks, Apache Spark, PySpark, Delta Lake, SQL, Python, dimensional data modeling, data governance, CI/CD, Git
Preferred skills
Migration of legacy data assets, schema evolution, pipeline recovery strategies, data quality validation, mentoring engineers
Technologies
Azure Databricks, PySpark, SQL, Delta Lake, Git
Responsibilities
Lead complex ETL/ELT development initiatives, design and oversee scalable data pipelines, define data engineering standards and best practices, mentor Data Engineers, collaborate with Data Architects and stakeholders, optimize SQL queries and processing workloads, establish data quality and monitoring processes.
Seniority
Principal, hands-on IC with leadership
