Principal Data Engineer, Business Intelligence
CEI Group
Burlington, MA
Principal Data Engineer, Business Intelligence
About the Role
We’re seeking a Principal Data Engineer to lead the architecture and evolution of our enterprise Business Intelligence data platform — enabling trusted, scalable, and AI-ready intelligence across the organization.
As both a hands-on architect and strategic thought partner, you’ll design the systems that move our business from manual reporting to true intelligence-driven execution. Your mission: ensure data is accessible, reliable, and optimized for speed, accuracy, and decision confidence.
What You’ll Do
Enterprise Digital Enablement
Architect and evolve enterprise-grade data pipelines using Snowflake, dbt, FiveTran, Kafka, and emerging technologies
Automate and scale data flows across the enterprise for high reliability and performance
Build self-service data access patterns aligned to business workflows and analytics needs
Enterprise Intelligence
Translate business outcomes into robust data models that power confident decision-making
Govern metric lineage, quality standards, and semantic consistency across domains
Prepare for AI integration by ensuring clean, trusted data and well-defined features
Enterprise Business Operations
Partner with technical and business teams to prioritize and deliver data initiatives that drive measurable value
Integrate product usage, customer signals, and financial performance into unified insights
Support closed-loop planning and performance cycles with timely, accurate data delivery
Leadership & Influence
Mentor engineers and analysts, fostering a culture of data excellence
Represent Data Engineering in enterprise architecture and strategy councils
Drive continuous improvement through automation, governance, and innovation — guided by these core principles:
Human-centric enablement
Trusted data and governance by design
Automation with intention
Adaptive operations powered by insight
Systems that scale as one
What You Bring
Required Qualifications
8–12+ years of experience in data engineering within cloud-native environments
Expertise in Snowflake, dbt, SQL, Python, and modern ELT frameworks
Proven ability to design and deliver scalable, governed, and secure enterprise data architectures
Strong business acumen and communication skills to collaborate across technical and commercial teams
A track record of building platforms, not projects
Preferred Qualifications
Experience in SaaS or product-driven operating models
Understanding of product usage analytics and operational data modeling
Familiarity with identity/access governance and compliance-driven architectures
Exposure to ML feature stores or AI model deployment frameworks
Why Join Us
You’ll have the opportunity to shape the foundation of enterprise intelligence — designing the data systems that fuel every decision, every product, and every customer outcome. If you’re passionate about scalable architecture, automation, and empowering others through data, this is your role.