Principal Software Engineer (Data Warehousing-Lakehouse and Analytics Solutions)

Principal Software Engineer (Data Warehousing/Lakehouse and Analytics Solutions)

The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics — all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.

Join us to do the best work of your career and make a profound social impact as aPrincipal Software Engineeron ourISG Software Engineering team inResearch Triangle Park, North Carolina, Round Rock, Texas, Hopkinton, Massachusetts.

What you’ll achieve

As aPrincipal Software Engineer, you will be a technical leader responsible for architecting and delivering complex, scalable, high‑performance software systems. You will 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.

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 NiFi
• 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, GitOps, Kubernetes tooling and security, and contributions to platform strategy or architectural governance