Data Architect – Cloud Data & Analytics (AWS Focus)

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.

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
• 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.
• Bachelors 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.

Additional Information :

Our uniqueness is that we celebrate yours. Experians 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. Experians people first approach is award-winning; Worlds 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 Experians 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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Remote Work :

No

Employment Type :

Full-time