Data Architect & Delivery Lead

Job Description The Team As part of the Global Technology Organization, the Enterprise Data & Analytics (ED&A) team enables data-driven decision-making across all Mattel business units. We design and manage cloud-native data platforms, build scalable data pipelines, and deliver curated datasets that power analytics, business intelligence, and machine learning initiatives. Our ED&A Delivery function ensures high-quality and timely execution of strategic data programs across the enterprise. Key responsibilities include: - Integrating data from diverse enterprise systems such as ERP, E-commerce, Order Management, CRM, and operational platforms into a centralized cloud-based data warehouse. - Building robust ETL/ELT pipelines that automate data ingestion, transformation, and delivery using modern frameworks. - Delivering curated, business-ready datasets to support self-service analytics and strategic decision-making. - Enforcing data quality, testing, and governance standards across the data ecosystem. - Leveraging orchestration tools like Airflow or Cloud Composer for reliable pipeline scheduling and execution. - Collaborating with cross-functional teams including data analysts, product owners, and BI developers to align solutions with business objectives. The Opportunity We are seeking a Data Architect & Delivery Lead to drive end-to-end architecture and execution of enterprise data solutions. This hybrid role combines technical leadership with delivery accountability. The ideal candidate will define scalable architectures, lead technical design sessions, and oversee the delivery of batch and real-time data integrations, data warehouses, and analytics platforms. What Your Impact Will Be: - Define and govern the architecture of cloud-based data platforms, ensuring scalability, security, and performance. - Lead the design of data models, data pipelines, and integration frameworks that support analytics and business intelligence use cases. - Oversee the end-to-end delivery of data integration and analytics projects—coordinating with Data lead, data engineers, product owners, and business stakeholders. - Establish and enforce architecture standards, best practices, and technical design patterns across the ED&A organization. - Develop and maintain conceptual, logical, and physical data models, including canonical models that standardize data across the organization. - Collaborate with enterprise architects, application teams, and business units to align data solutions with enterprise goals. - Drive delivery timelines, manage dependencies, and ensure on-time and high-quality releases for multiple concurrent projects. - Provide technical mentorship to engineering teams and help troubleshoot complex integration and performance issues - Partner with data governance and quality teams to ensure consistent implementation of lineage, metadata, and quality standards