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Data Architecture Expert

Data Architecture Expert

Virtusa
12-14 Years
Not Disclosed
  • Posted 2 hours ago
  • Be among the first 10 applicants

Job Description

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

More Info

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Key Skills

GenAI

Hadoop-based platforms

Cloud-native data platforms

Unified data access layers

EDW ecosystems

Modern data architectures

Lakehouse

Data Fabric

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