Data Architect - Cloud Data & Analytics (AWS Focus)

Job Description As a Data Architect at Experian, you will be responsible for designing and governing modern, cloud-native data platforms and analytics solutions on AWS. Your role will involve collaborating with global technology teams to define data models, review architecture designs, and ensure alignment with enterprise standards. Your expertise will play a crucial role in shaping the future of Experian's data and analytics ecosystem. This is a hybrid role, expected to work from the Hyderabad office. Key Responsibilities - Lead data architecture reviews and provide guidance on platform designs, data models, and non-functional requirements. - Collaborate with global teams to ensure architectural alignment, promote reuse of data assets, and champion best practices in data engineering. - Design and implement conceptual, logical, and physical data models for complex financial systems. - Advocate for enterprise data platforms and drive adoption across regions. - Architect scalable, secure, and resilient data solutions using AWS services such as S3, Glue, Redshift, EMR, Kinesis, Lake Formation, and SageMaker. - Apply AWS Well-Architected Framework principles and cloud-native patterns to solution designs. - Develop and maintain architectural documentation including blueprints, patterns, and technical specifications. - Lead migration of legacy data systems to modern AWS-based platforms and oversee decommissioning. - Partner with product teams to capture data requirements and feed them into platform backlogs. - Contribute to 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. - Provide technical leadership in integrating analytics and AI platforms using SageMaker Unified Studio. Qualifications - 8+ years of experience in enterprise data architecture and modeling, with proven experience as a Data Architect. - Strong hands-on experience with AWS data services: S3, Lake Formation, Glue, EMR (Spark), Lambda, Redshift, Kinesis, MSK, and SageMaker Unified Studio. - Expertise in data modeling techniques including 3NF, Dimensional, and Data Vault 2.0. - Strong understanding of cloud-native architectures, data lakehouse, and event-driven/streaming patterns. - Experience with infrastructure as code (Terraform, AWS CDK) and CI/CD (Jenkins, Bitbucket). - Familiarity with identity and access management (Okta, AWS IAM) and data security best practices. - Experience working with LLMs and AI/ML frameworks. - Proficiency in SQL and at least one programming language (Python, Scala, or Java). - Knowledge of financial services regulations such as GDPR and PCI-DSS. - Excellent communication and stakeholder engagement skills. - Bachelor's degree in computer science, Information Technology, or related field. Preferred - AWS certifications (e.g., AWS Certified Data Analytics Specialty, Solutions Architect Professional). - Experience with data governance tools such as Collibra and Alation, and metadata management. - Familiarity with data mesh principles and federated governance. (Note: Additional company information was omitted from the Job Description),