Shape technical direction, mentor senior engineers, drive engineering excellence, and influence strategy across product teams. Principal Engineers at Dell act as project leaders and architectural anchors, guiding teams toward high-impact, high-quality outcomes. You will:Lead the design and architecture of data and information systems supporting ISG business operations. Develop end-to-end data-driven software solutions, ensuring performance, reliability, and long-term maintainability. Own complex technical implementations, including risk identification, mitigation, and solutioning. Conduct design and code reviews while mentoring senior and mid-level engineers. Collaborate cross-functionally to deliver enterprise-grade integrations, modernization initiatives, and influence engineering standards and platform strategy. Take the first step towards your dream career. Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:Essential Requirements 8–12 years of experience delivering complex, large-scale software systems with strong backend development skills in Python, Java, C#, or similar. Deep expertise in data warehousing and lakehouse architectures, including data modeling, governance, and data presentation platforms. Hands-on experience building and operating data pipelines, orchestration, and transformations using tools such as Airflow, Spark, dbt, or Ni. Fi. Advanced knowledge of distributed and cloud-native systems, including event-driven architectures, APIs, performance optimization, Kubernetes, CI/ CD, and relational, NoSQL, and event-based platforms (e.g., Kafka)Proven ability to independently design, implement, and debug complex systems while demonstrating technical leadership, mentoring, and cross-team collaboration. Desirable Requirements Experience integrating AI-enabled capabilities into enterprise systems, including agentic AI patterns, LLM-driven automation, autonomous agents, RAG, prompt engineering, and vector databases. Strong foundation in modern platform engineering, including Agile/ Scrum practices, Git. Ops, Kubernetes tooling and security, and contributions to platform strategy or architectural governance. Compensation.