Principal Data Engineer
Core
Own the end-to-end data architecture and platform for a global AI infrastructure company, enabling GPU cloud services, hardware failure prediction, and agent-based workflows.
Role type
Principal Data Engineer (Platform & Architecture)
Builds
Real-time and batch data pipelines, storage layers, semantic layers, and governance frameworks for AI compute and telemetry data.
Domain
AI Infrastructure / High-Performance Compute / Cloud Platforms
Deliverable
production ML models | infrastructure
Required skills
Data architecture strategy, large-scale data platform design, time-series and telemetry pipeline operations, columnar/vector storage patterns, event streaming (Kafka), distributed processing (Spark), pipeline orchestration (Airflow/dbt), Kubernetes (bare-metal), data governance & compliance (SOC 2/ISO 27001), Python, SQL.
Preferred skills
AI infrastructure/GPU cloud background, industrial IoT/OT telemetry, vector databases for LLM/agent use cases.
Responsibilities
Define data architecture patterns and technology choices; build and operate core data platform components (pipelines, storage, transformation); enforce data quality, lineage, and access controls; mentor engineers and lead architectural reviews; present trade-offs to CTO and engage customers on compliance.
Seniority
Principal, hands-on IC with strategic influence
