As a Data Architect, you will design and govern modern, cloud-native data platforms and analytics solutions on AWS. You will collaborate with global technology teams to define data models, review architecture designs, and ensure alignment with enterprise standards. Your expertise will shape the future of our data and analytics ecosystem. This is a hybrid role, expected to work from 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 (S3, Glue, Redshift, EMR, Kinesis, Lake Formation, SageMaker).
- Apply AWS Well-Architected Framework principles and cloud-native patterns to solution designs.
- Develop and maintain architectural documentation (blueprints, patterns, 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.
- 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
- Expertise in data modeling techniques (3NF, Dimensional, 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 (GDPR, 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 (Collibra, Alation) and metadata management.
- Familiarity with data mesh principles and federated governance.
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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