Solutions Architect - Cloud Data Warehousing (GCP)

About the role

We are looking for an experienced Solution Architect with deep expertise in Cloud Data Warehousing 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 GCP services Define data architecture standards, best practices, and governance frameworks Build and optimize ETL/ELT pipelines for batch and real-time processing 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 Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world's leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential. Mattel's award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more. Visit us at https://jobs.mattel.co

Requirements

• Data & Cloud
• Strong experience in Data Warehousing (Star/Snowflake, Medallion, Data Vault)
• Hands-on expertise in GCP , including: BigQuery, Pub/Sub, Cloud Storage, Composer (Airflow), Dataflow/Dataproc.
• Technical
• Proficiency in SQL and Python
• Experience with ETL/ELT, data modeling, and performance optimization
• Knowledge of batch & streaming architectures and API integrations
• Architecture
• Proven experience designing enterprise-scale data platforms
• Strong understanding of cloud architecture, distributed systems, and data security (IAM, governance)
• Experience with modern data architecture patterns , including data mesh and domain-driven architecture
• AI & Analytics
• Understanding of AI/ML use cases in data platforms
• Familiarity with GCP AI tools (e.g., Vertex AI) and ML-ready data pipelines
• Preferred Skills:
• GCP Certifications ( Professional Data Engineer / Cloud Architect )
• Experience with multi-cloud or hybrid environments
• Exposure to BI tools (Tableau, ThoughtSpot, Power BI)
• Knowledge of CI/CD and DevOps practices
• 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 to our purpose employing the following behaviors:
• We collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower.
• We innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking.
• We execute: We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results.

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