Job Description

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 requirements
Collaborate with global teams to ensure architectural alignment, drive reuse of data assets, and champion high-quality data engineering practices
Design and implement conceptual, logical, and physical data models for complex financial systems
Act as a strong, visible advocate for enterprise data platforms and champion their adoption with regional stakeholders
Design scalable, secure, and resilient data solutions using AWS services including SageMaker Unified Studio
Guide engineering teams in applying cloud data architecture patterns, AWS Well-Architected Framework principles, and data modeling best practices
Develop and maintain architectural documentation including data models, blueprints, patterns, and technical specifications
Lead the migration of existing data capabilities onto modern cloud-native data platforms
Oversee subsequent data platform migration and decommissioning of legacy data systems
Work closely with multiple product teams to capture data requirements and feed them into platform backlogs
Contribute to the definition and evolution of the enterprise data platform roadmap, ensuring alignment with business and technology goals
Stay current with emerging data technologies and industry best practices
Mentor data engineering teams and promote architectural excellence across the organisation
Provide technical leadership in the integration of unified analytics and AI platforms using SageMaker Unified Studio

Qualifications

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 Studio
Strong understanding of cloud-native architectures, data lakehouse, and event-driven/streaming patterns
Expertise in data modeling techniques (3NF, Dimensional, Data Vault 2.0)
. Strong understanding of cloud-native data architectures, including data lakehouse, event-driven, and streaming patterns
Experience with infrastructure as code (Terraform, AWS CDK) and CI/CD (Jenkins, Bitbucket)

Additional Information

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.

Experian Careers - Creating a better tomorrow together

Data Architect – Cloud Data & Analytics (AWS Focus)