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Principal Software Engineer – Data Warehousing, Lakehouse, Analytics Solutions
Metsi TechnologiesPrincipal Software Engineer developing complex, scalable software systems at Dell Technologies. Leading architecture and technical direction for data warehousing and analytics solutions.
Posted 4/11/2026full-timeResearch Triangle Park • Massachusetts, North Carolina, Texas • 🇺🇸 United StatesLead💰 $178,500 - $231,000 per yearWebsite
Tech Stack
Tools & technologiesAirflowCloudJavaKafkaKubernetesNoSQLPythonSpark
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
- 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.
Benefits
Comp & perks- Your life. Your health. Supported by your benefits.
ATS Keywords
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Hard Skills & Tools
PythonJavaC#data warehousinglakehouse architecturedata modelingdata governancedata presentationKubernetesCI/CD
Soft Skills
technical leadershipmentoringcross-team collaborationrisk identificationsolutioning