About this role
Job title: Software Eng Specialist
About the Role As a Consumer Data Architect, you will lead the design and evolution of Mattel's first-party consumer data ecosystem. You will define the architecture for collection, integration, identity resolution, governance, and activation of consumer data across marketing and analytics platforms, with a privacy-first approach. The role aims to enable real-time personalization, advanced analytics, and a unified view of the consumer across brands and channels, overseeing BlueConic (CDP), Klaviyo (CRM), and the internally developed Consumer Master system while evaluating an MDM solution.
What You'll Do
- Lead the strategy, architecture, and implementation of the company’s first-party consumer data ecosystem
- Design and maintain a scalable, privacy-first architecture for collecting, unifying, governing, and activating consumer data across platforms
- Own the integration and optimization of core consumer data platforms including BlueConic (CDP), Klaviyo (CRM), and the internally developed Consumer Master system
- Define and manage the consumer identity architecture, including identity resolution strategies and unified consumer profiles
- Develop data models, architecture patterns, and integration frameworks that support marketing activation, analytics, and operational use cases
- Establish and enforce data governance standards for consumer data, including data definitions, metadata, and documentation
- Lead the evaluation and strategic recommendation of a Master Data Management (MDM) solution to unify consumer data across systems
- Partner with engineering, analytics, and marketing teams to design scalable data pipelines and integrations across the consumer data ecosystem
- Ensure data quality, consistency, and reliability across platforms through architectural standards and validation frameworks
- Collaborate with privacy, security, and compliance teams to ensure consumer data architecture aligns with regulatory and privacy requirements
- Provide technical leadership and architectural guidance to analysts, engineers, and cross-functional teams working within the consumer data ecosystem
- Translate business and marketing requirements into scalable data architecture and platform solutions
- Stay current with emerging technologies and best practices in customer data platforms, identity resolution, and data governance
What We're Looking For
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (Master’s preferred).
- 7+ years of experience in data architecture, data engineering, or consumer data platform implementations.
- Proven experience designing and implementing consumer data ecosystems supporting marketing and digital engagement.
- Strong experience with customer data platforms (CDPs), CRM systems, and marketing technology stacks (e.g., BlueConic, Klaviyo, Salesforce, or similar platforms).
- Deep understanding of first-party data strategies, identity resolution, and unified consumer profile architectures.
- Experience designing and implementing data models and architectures within modern cloud data platforms such as Google Cloud Platform and BigQuery.
- Advanced SQL and strong understanding of large-scale data integration and data pipeline architectures.
- Experience evaluating or implementing Master Data Management (MDM) solutions and data governance frameworks.
- Strong knowledge of data privacy principles and regulatory considerations related to consumer data (GDPR, CCPA, etc.).
- Proven ability to translate complex business requirements into scalable technical architecture solutions.
- Strong leadership, collaboration, and communication skills with the ability to work effectively across technical and business teams.
- Experience working in Agile development environments and leading architectural direction within iterative delivery models.
- Strong problem-solving mindset with the ability to design scalable solutions in complex and evolving data environments.