Live opening · Posted 3 days ago

Data Architecture Expert

Virtusa · Hyderabad, Telangana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyVirtusa
LocationHyderabad, Telangana, India (On-site)
Work modeNo
SourceLinkedin
ListedPosted 3 days ago

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About the role

Description supplied by the original job listing.

Job Requirements
 Master’s degree in Telecommunications Science and Technology / Telecommunications systems /
Electronics and Electrical Communications or related Engineering discipline or Science or Business
Administration (specializing In Systems) Preferred
 Bachelor’s degree in Telecommunications Science and technology / Computer Science or a related Data Engineering Discipline or Science.
Preferred certifications in Enterprise Architecture such as TOGAF, Zachman, or equivalent.
A minimum of 12 years of relevant experience in the data domain, including at least 5 years in a similar data enterprise architecture role.
 Prior experience in managing large scale Technology/data/AI Architecture Transformation and
Implementation programs
 Preferred prior experience in leading large scale technology organizations (Data or IT)
 Exposure to emerging trends and technologies in previous roles.
Job Specific Knowledge and Skills
 Strong leadership skills with the ability to influence C-level executives.
 Strong knowledge of the telecom industry, technology innovation, and the vendor/platform landscape.
 Deep expertise in data management, Data Lake, Lakehouse, and EDW ecosystems.
 Strong change management capabilities.
 Strong decision-making and problem-solving skills.
 Strong knowledge of enterprise technologies and integration patterns.
 Strong understanding of digital architecture concepts, frameworks, and principles.
 Strong knowledge of Data Fabric, metadata management, and unified data access layers.
 Strong understanding of AI/ML and GenAI data readiness requirements.
 Experience with cloud-native data platforms and modern data architectures.
 Strong knowledge of key data platform technologies such as Teradata, Databricks, Hadoop-based platforms, and modern Lakehouse architectures.
Work Experience
7-10Years

Work arrangement
No

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