Principal Architect - Enterprise Data Engineering

Company Description

CREATIVITY IS OUR SUPERPOWER. It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers.

Job Description

The Opportunity: 

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.

What Your Impact Will Be: 

• 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

Qualifications

What We’re Looking For:

• 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.

*The pay range is indicative of projected hiring range, however base pay will be determined based on a candidate’s work location, skills and experience. Mattel offers competitive total pay programs, comprehensive benefits, and resources to help empower a culture where every employee can reach their full potential. 

Additional Information

Don’t meet every single requirement? At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Join Mattel's Talent Community and start receiving exciting updates about our company, our employees, and our culture. Also, interested in signing up for job alerts? Do so here!

How We Work:
We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up