Important Note (Please Read Before Applying)
🚫 Do NOT apply if :
- You have less than 10 years of experience in data architecture
- You do not have hands-on experience in implementing data integrations
- You come from a purely non-architecture background (e.g., only reporting / analyst roles)
✅ Apply ONLY if you meet ALL the mandatory requirements listed above. Irrelevant applications will not be processed.
Job Title : Data Architect
Location : Hyderabad
Experience : 10+years
Employment Type : Permanent
Notice Period : Immediate Joiners Only
CTC : Up to 30 LPA
About the Company
Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.
Job Description
As a Senior Data Architect, you will be responsible for designing and implementing robust, scalable, and secure data architectures. You will work closely with engineering teams and business stakeholders to drive strategic data initiatives, ensuring alignment with business goals and technology standards.
Key Responsibilities
Design and implement enterprise-grade data architecture strategiesDevelop and enforce standards for data integration, governance, and qualityCollaborate with cross-functional teams to gather requirements and align data solutionsLead the modeling of complex data structures and ensure data consistency across systemsAdvise stakeholders on data-related decisions, leveraging industry best practicesMentor teams on architecture patterns, tool usage, and data strategyEvaluate and implement new tools and technologies as neededMandatory Skills
10–12 years of experience in data architecture with a strong implementation backgroundDeep expertise in data integration technologies (ETL / ELT, pipelines, APIs)Strong experience with data modeling , data governance , and data quality frameworksSolid understanding of enterprise data architecture patterns and best practicesProven ability to work with cross-functional teams and senior stakeholdersExcellent communication and presentation skillsBachelor’s degree in Computer Science , Information Technology , or related fieldNice to Have (Preferred Skills)
Experience with cloud-based data platforms (AWS, GCP, or Azure)Relevant certifications in data architecture , cloud platforms , or data governanceFamiliarity with big data technologies , data lakes , or streaming frameworks