Principal Data Engineer, Business Intelligence

CEI Group

+3
+4
United States

+3
+4
United States

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Über

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.

Wünschenswerte Fähigkeiten

Data Modeling
Kafka
Python
SQL

United States

Berufserfahrung

Data Engineer
Machine Learning
Data Infrastructure

Sprachkenntnisse

English

Hinweis für Nutzer

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