Principal Data Engineer
New Brunswick, New Jersey, United States of America Hybrid
$102,000–$170,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
This is a duration based role that will last 2 years. The Principal Data Engineer owns product engineering and architectural decisions, serving as both the technical visionary and hands-on leader responsible for solution delivery. This role partners closely with Product Owners, Product Group Engineers, Lead Engineers, architects, and cross-functional product squads to solve complex engineering challenges, define scalable technical solutions, and ensure alignment with enterprise technology strategy. The role is accountable for product technical architecture, engineering standards, technology roadmaps, and the successful delivery of scalable, secure, and governed data and AI solutions. The ideal candidate brings 10+ years of progressive experience in enterprise data engineering, architecture, analytics, and AI, with deep expertise in Azure, Microsoft Fabric, Databricks, Power BI, Data Mesh, Data Federation, Data Modeling, Data Governance, Enterprise Data Management, Generative AI, and Agentic AI platforms. Responsibilities / Key Jobs to be Done (Workday “What You Will Do”)
What you'll bring
- Proven ability to evaluate technical tradeoffs and guide teams toward scalable, maintainable solutions.
- Experience leading the selection, implementation, integration, and operation of enterprise data, analytics, AI, and digital platforms.
- Strong experience managing products and platforms throughout their lifecycle in complex, multi-team environments.
- Deep understanding of enterprise delivery practices including planning, dependency management, governance, compliance, quality management, and operational excellence.
- Ability to align technology investments with business strategy, value drivers, and industry trends.
- Demonstrated success driving measurable business outcomes through data, analytics, and AI solutions.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field
- 15+ years of experience in enterprise data engineering, technical architecture, analytics, AI platforms, and cloud engineering.
- Proven experience leading architecture decisions, technical strategy, and engineering standards across multiple teams and products.
- Hands-on expertise with Azure, Microsoft Fabric, Databricks, Power BI, and modern cloud-native technologies.
- Strong experience with Data Mesh, Data Federation, Data Products, Data Modeling, Data Governance, and Enterprise Data Management disciplines.
- Demonstrated expertise with Generative AI technologies including LLMs, RAG, vector databases, AI agents, prompt engineering, and enterprise AI architectures.