Principal Data Engineer
Core
Lead the design, architecture, and delivery of modern Databricks-based lakehouse data platforms powering advanced analytics and AI.
Role type
Principal Data Engineer (Databricks)
Builds
Scalable data pipelines, cloud-native data platforms, and data products for analytics and generative AI.
Domain
Cloud data engineering, AI/ML enablement, lakehouse architecture
Deliverable
production ML models | infrastructure
Required skills
Databricks, Spark, lakehouse architecture, scalable data pipelines, distributed data processing, data modeling, data governance, cloud platforms (AWS/Azure/GCP), technical strategy, mentorship
Preferred skills
Data orchestration, monitoring, data quality, observability, reusable data frameworks
Technologies
Databricks, Spark, Snowflake, AWS, Azure, GCP
Responsibilities
Define architecture and technical direction for modern data platforms; Design and deliver scalable data pipelines; Drive best practices for data engineering and governance; Collaborate with AI and product teams to shape platform strategy; Lead design of batch and streaming pipelines; Advise and mentor engineers; Guide integration of data platforms with ML and generative AI workloads; Champion reusable data frameworks and accelerators.
Seniority
Principal, hands-on IC with strategy & mentorship