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Tier-1 brand, metro Bangalore location, and broad multi-cloud/data skillset drive high applicant competition.
Specialized enterprise data architecture, governance, and MDM focus moderately limits cross-industry portability.
Multiple explicit years, mandatory architect experience, and certifications make shortlisting highly strict.
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Design and architect large-scale enterprise data platforms including data lakes, lakehouses, and real-time processing systems.
Lead end-to-end implementation of cloud data solutions across Azure, AWS, or GCP ensuring alignment with industry best practices and organizational strategy.
Oversee data governance, security, and compliance with global data privacy regulations; integrate Generative AI technologies into enterprise solutions.
Minimum 10 years of industry experience with at least 2 years focused on enterprise data architecture design and 2+ years as a Data Architect.
Minimum 2+ years of experience architecting enterprise-scale data platforms and implementing end-to-end cloud data solutions (Azure, AWS, or GCP).
Experience required in distributed data management, data modeling, relational and NoSQL databases, and cloud environments.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
Experienced in designing scalable and compliant enterprise data solutions integrating advanced technologies including Generative AI.
Skilled in cross-functional collaboration to align architecture with business needs and capable of simplifying complex technical concepts for diverse stakeholders.
Holds certifications such as TOGAF, Cloud Platform (Azure, AWS, GCP), and demonstrates hands-on exposure to ETL tools, cloud data warehouses, and MPP systems.