Data Architect – Cloud Data & Analytics (AWS Focus) at Experian

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

16 Apr, 26

Salary

0.0

Posted On

16 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, AWS, Data Modeling, Cloud-Native, Data Lakehouse, Event-Driven, Streaming, Infrastructure as Code, CI/CD, Data Engineering, Technical Leadership, Data Migration, Data Governance, Analytics Solutions, Mentoring, SageMaker Unified Studio

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. 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 Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Technology Schedule: Full Time

Responsibilities

The Data Architect will lead data architecture reviews, collaborate with global teams, and design scalable data solutions using AWS services. They will also guide engineering teams and oversee the migration of existing data capabilities to modern cloud-native platforms.