Principal Data Engineer
Core
Design, develop, and maintain scalable data architecture, pipelines, and AI agent solutions (MCPs) to support enterprise data strategy and commercial insights.
Role type
Principal Data Engineer (AI & Data Platform)
Builds
Scalable data platforms, AI agents, and end-to-end data flows for enterprise initiatives.
Domain
Big Data, Cloud Infrastructure, Agentic AI
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, Scala, Java, C++, Spark, Hadoop, Kubernetes, Delta Live Tables, Kafka, DevSecOps, distributed systems design, system integration, data structures and algorithms.
Preferred skills
Agentic AI skillsets (planning, decision-making, tool integration, autonomous task execution), CI/CD standardization, framework scaling, technology assessment.
Technologies
Delta Live Tables, Kafka, Databricks, Kubernetes, Spark, Hadoop
Responsibilities
Design and evolve Data Platform architecture; lead development of AI agents and MCPs; mentor data professionals; define strategic roadmap for 'Data as a Product'; provide cross-team technical guidance on data flow design; optimize data pipelines and query performance.
Seniority
Principal, strategy & mentorship