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Tier-1 brand, metro location, and broad enterprise data skillset create high candidate competition.
High because enterprise data architecture and governance skills are domain-specific and less transferable.
High due to explicit 6–8 years and extensive mandatory architecture, governance, and technical requirements.
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Design scalable data architectures and data exchange platforms aligned with business and enterprise goals.
Drive data modeling, integration design, and support data platform implementation with engineering and vendor teams.
Collaborate with analytics and business teams to enable analytics-ready data structures and support BI initiatives.
6 to 8 years of experience in data engineering, data architecture, or analytics engineering.
Bachelor’s or master’s degree in computer science or related field.
Strong expertise in data architecture, data modelling (including dimensional modelling), data integration, and data lifecycle management.
Location requirement: Hyderabad.
Experienced in enterprise-scale data and analytics programs involving multi-stakeholder collaboration.
Skilled at translating business requirements into scalable data architectures and documentation.
Familiar with consulting or client-facing environments and architecture governance processes.