Lead Data Lakehouse Architect & Analytics Engineer

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 using the most advanced technologies, tools, software engineering methodologies and collaboration with internal and external partners. Join us in the ISG Software Engineering team in Research Triangle Park, North Carolina;
Round Rock, Texas; or Hopkinton, Massachusetts.

As a Principal 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.

• 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

• 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, No
  
  SQL, 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, Git Ops, Kubernetes tooling and security, and contributions to platform strategy or architectural governance

The salary range for this position is $ – $.

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