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Principal Architect - Enterprise Data Engineering

Mattel•El Segundo, CA
•$168,000 - $195,000•Onsite
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About The Position

We are looking for an experienced Principal Architect with deep expertise in Cloud Data Engineering and Google Cloud Platform (GCP). This role will drive end-to-end data architecture, enabling scalable, secure, and AI-ready data platforms that support advanced analytics and business decision-making.

Requirements

  • Strong experience in Cloud Data Engineering
  • Hands-on expertise in ERP integrations, including Big Query, Pub/Sub, Cloud Storage, Composer (Airflow), CA Scheduler
  • Finance (GL, AP, AR)
  • Procurement and Purchase Orders
  • Inventory and Supply Chain
  • Customer and Vendor Master Data
  • Collaborate with business teams to translate ERP functional requirements into scalable data models and pipeline
  • Proficiency in SQL and Python
  • Experience with ETL/ELT, data modeling, and performance optimization
  • Knowledge of batch & streaming architectures and API integrations
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 10+ years of experience in Data Engineering, ETL, and Data Architecture
  • Proven experience in designing and implementing enterprise data solutions
  • Strong expertise in: Google Cloud Platform (BigQuery, GCS, Pub/Sub, Cloud Functions)
  • Apache Airflow (workflow orchestration)
  • SQL and data modeling (dimensional modeling, ELT patterns)
  • Strong hands-on experience with ERP integrations (SAP, Oracle ERP, finance and supply chain systems)
  • Demonstrated a growth mindset by staying curious and continuously learning, embracing challenges, and improving themselves.

Responsibilities

  • Own and lead end-to-end solution architecture for data and analytics platforms
  • Design scalable, high-performance data solutions using Oracle and GCP services
  • Define data architecture standards, best practices, and governance frameworks
  • Build and optimize ETL/ELT pipelines for batch and real-time processing
  • Architect and implement end-to-end O2C, R2P, R2R, P2R integration solutions for systems such as SAP, Oracle ERP, Coupa, and Anaplan
  • Collaborate with business stakeholders to translate requirements into technical solutions
  • Drive cloud transformation and modernization initiatives
  • Ensure data quality, security, compliance, and cost optimization
  • Incorporate AI/ML capabilities to enable predictive and intelligent analytics
  • Apply data mesh and domain-driven design principles to enable decentralized, scalable data ownership
  • Provide technical leadership and mentorship to engineering teams

Benefits

  • competitive total pay programs
  • comprehensive benefits
  • resources to help empower a culture where every employee can reach their full potential

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What This Job Offers

Job Type

Full-time

Career Level

Principal

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