Hiring: Principal Data Platform Engineer / Architect Company: Avenue 45 Location: Irvine, CA Job Posted Time: 2026-09-16 22:30:50 Employment Type: Hybrid Target Skills & Keywords : ABAC, Data Pipeline, Data Warehouse, ELT, ETL, Event-Driven, Feature Store, Fivetran, MLOps, Machine Learning, RBAC, Regulatory Compliance, Snowflake, Stakeholder Management, dbt About the job Experience: •, not solely broad data architecture or cloud transformation experience. •10+ years of experience in data architecture, data engineering, or enterprise data platforms. •5+ years in a senior/lead architect role driving platform strategy, standards, and governance at enterprise scale. •Proven expertise designing and operating cloud-based data platforms •Applied hands-on capability in ELT/ETL tools, data modeling, and metadata management (dbt, Fivetran, or comparable). Required Skills: •Data Architecture & Modeling – Expert in designing Lakehouse architectures (bronze/silver/gold) and enterprise data models that support both analytics and AI/ML workloads. •Cloud Data Platforms – Deep hands-on knowledge of (or equivalent cloud-native platforms), including performance tuning, cost optimization, multi-tenant design, and governance. •Data Engineering & ELT – Strong proficiency in dbt or similar transformation frameworks, ELT/ETL orchestration, metadata management, and automation of data pipelines. •Integration Patterns – Advanced understanding of API-led, event-driven, and batch integration; skilled at designing reusable integration frameworks. •Analytics & BI Enablement – Skilled at architecting self-service BI environments, semantic layers, and governed datasets; experience with enterprise BI tools. •Machine Learning & AI Enablement – Familiarity with ML pipelines, feature stores, and MLOps practices to operationalize AI models. •Security, Compliance & Governance – In-depth knowledge of data security, privacy, and governance frameworks, including RBAC/ABAC models and regulatory compliance. •Leadership & Communication – Strong ability to translate complex technical concepts into business value, influence senior executives, and guide cross-functional teams. Qualifications: •Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field required. •Master’s degree in Computer Science, Information Management, or Business/Technology discipline preferred. Compensation: •$155,000 - $180,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!