About this role
As a Data Architect, you will play a critical role in designing and governing modern, cloud-native data platforms and analytics solutions. You will work closely with global technology teams to design data models, review data architecture designs, and ensure alignment with enterprise standards. Your influence will help shape the future of our data and analytics landscape.
Key Responsibilities
Lead data architecture reviews and provide feedback on data platform designs, data models, and non-functional requirementsCollaborate with global teams to ensure architectural alignment, drive reuse of data assets, and champion high-quality data engineering practicesDesign and implement conceptual, logical, and physical data models for complex financial systemsAct as a strong, visible advocate for enterprise data platforms and champion their adoption with regional stakeholdersDesign scalable, secure, and resilient data solutions using AWS services including SageMaker Unified StudioGuide engineering teams in applying cloud data architecture patterns, AWS Well-Architected Framework principles, and data modeling best practicesDevelop and maintain architectural documentation including data models, blueprints, patterns, and technical specificationsLead the migration of existing data capabilities onto modern cloud-native data platformsOversee subsequent data platform migration and decommissioning of legacy data systemsWork closely with multiple product teams to capture data requirements and feed them into platform backlogsContribute to the definition and evolution of the enterprise data platform roadmap, ensuring alignment with business and technology goalsStay current with emerging data technologies and industry best practicesMentor data engineering teams and promote architectural excellence across the organisationProvide technical leadership in the integration of unified analytics and AI platforms using SageMaker Unified Studio
8+ years in enterprise data architecture and modeling, with proven experience as a Data Architect.Strong hands-on experience with AWS data services: Storage & Lakehouse: S3, Lake Formation Processing: Glue, EMR (Spark), Lambda Warehouse: Redshift Streaming: Kinesis, MSK AI/ML: SageMaker Unified StudioStrong understanding of cloud-native architectures, data lakehouse, and event-driven/streaming patternsExpertise in data modeling techniques (3NF, Dimensional, Data Vault 2.0)• Strong understanding of cloud-native data architectures, including data lakehouse, event-driven, and streaming patternsExperience with infrastructure as code (Terraform, AWS CDK) and CI/CD (Jenkins, Bitbucket) Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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