Solutions Architect - Cloud Data Warehousing (GCP)
Role details
Job location
Tech stack
Job description
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
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
Benefits & conditions
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.
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., *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.