Asks for

The ad says“Experience managing cross-functional delivery teams in Agile or hybrid delivery environments.”
The ad says“Deep understanding of ETL/ELT frameworks, batch and streaming architectures, and orchestration tools (Airflow/Cloud Composer).”
The ad says“Expertise in cloud-native data architecture, particularly with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Cloud Composer).”
The ad says“5+ years of hands-on experience in data modeling, database design, and architecture (dimensional, normalized, and canonical modeling).”
The ad says“Expertise in cloud-native data architecture, particularly with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Cloud Composer).”
The ad says“Expertise in cloud-native data architecture, particularly with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Cloud Composer).”
The ad says“12+ years of experience in data engineering, solution architecture, or enterprise data management roles.”
The ad says“Solid grasp of data governance, security, quality, and metadata management principles.”
The ad says“5+ years of hands-on experience in data modeling, database design, and architecture (dimensional, normalized, and canonical modeling).”
The ad says“Strong understanding of MDM solutions and data stewardship principles.”
The ad says“5+ years of hands-on experience in data modeling, database design, and architecture (dimensional, normalized, and canonical modeling).”
The ad says“Expertise in cloud-native data architecture, particularly with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Cloud Composer).”
The ad says“5+ years of hands-on experience in data modeling, database design, and architecture (dimensional, normalized, and canonical modeling).”
The ad says“12+ years of experience in data engineering, solution architecture, or enterprise data management roles.”
The ad says“Deep understanding of ETL/ELT frameworks, batch and streaming architectures, and orchestration tools (Airflow/Cloud Composer).”
The ad says“Expertise in cloud-native data architecture, particularly with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Cloud Composer).”
The ad says“Strong understanding of MDM solutions and data stewardship principles.”
The ad says“Solid grasp of data governance, security, quality, and metadata management principles.”
The ad says“5+ years of hands-on experience in data modeling, database design, and architecture (dimensional, normalized, and canonical modeling).”
The ad says“Hands-on experience with SQL, Python, and modern data engineering toolsets.”
The ad says“Solid grasp of data governance, security, quality, and metadata management principles.”
The ad says“Solid grasp of data governance, security, quality, and metadata management principles.”
The ad says“12+ years of experience in data engineering, solution architecture, or enterprise data management roles.”
The ad says“Hands-on experience with SQL, Python, and modern data engineering toolsets.”

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, entertain 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 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

Qualifications

What We’re Looking For:

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
12+ years of experience in data engineering, solution architecture, or enterprise data management roles.
5+ years of experience leading delivery of complex data integration or analytics solutions in a cloud environment (GCP, AWS, or Azure).
5+ years of hands-on experience in data modeling, database design, and architecture (dimensional, normalized, and canonical modeling).
Expertise in cloud-native data architecture, particularly with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Cloud Composer).
Deep understanding of ETL/ELT frameworks, batch and streaming architectures, and orchestration tools (Airflow/Cloud Composer).
Proven ability to design dimensional and canonical data models for enterprise analytics and reporting use cases.
Hands-on experience with SQL, Python, and modern data engineering toolsets.
Solid grasp of data governance, security, quality, and metadata management principles.
Strong understanding of MDM solutions and data stewardship principles.
Experience managing cross-functional delivery teams in Agile or hybrid delivery environments.
Excellent communication and stakeholder management skills.
Experience in Retail, Media, or Consumer Products industries is a plus
Working knowledge of machine learning/AI, LLMs, or agentic AI data system design is a plus

Additional Information

What It’s Like to Work Here

We are a purpose driven company aiming to empower the next generation 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.

Who We Are

Mattel is a leading global toy company and owner of one of the strongest catalogs of children’s and family entertainment franchises in the world. We create innovative products and experiences that inspire, entertain and develop children through play. We engage consumers through our portfolio of iconic brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO and MEGA, as well as other popular intellectual properties that we own or license in partnership with global entertainment companies. Our offerings include film and television content, gaming, music and live events. We operate in 35 locations and our products are available in more than 150 countries 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 children to explore the wonder of childhood and reach their full potential.

Visit us at https://jobs.mattel.com/ and www.instagram.com/MattelCareers.

Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers including minorities, females, individuals with disabilities, and those of all sexual orientations and gender identities.