Data Architecture Expert

Virtusa; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Virtusa in Hyderabad seeks a Senior Enterprise Architect focused on data, AI readiness, and transformation programs across technology and data platforms. You will guide architecture strategy, drive data lakehouse adoption, and ensure alignment with business goals.

The role requires 12+ years in data, strong leadership to influence C-level executives, and deep knowledge of Teradata, Databricks, Hadoop, and modern lakehouse architectures. Cloud-native platforms experience is essential.

Qualifications

• Master’s degree in Telecommunications Science and Technology or Telecommunications systems.
• Electronics and Electrical Communications or related Engineering discipline or Science or Business.
• 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.

Responsibilities

• Lead data and AI architecture initiatives across the organization.
• Guide enterprise data strategy, governance, and platform choices.
• Drive transformation programs for data platforms and cloud-native architectures.
• Collaborate with C-level executives and business leaders to align tech with goals.

Skills

Leadership

Data governance

Data Lake / Lakehouse

EDW

Cloud platforms

Education

Master’s degree in Telecommunications Science and Technology / Telecommunications systems

Bachelor’s degree in Telecommunications Science and Technology / Computer Science or related Data Engineering Discipline or Science

Tools

TOGAF

Zachman

Job description

Job Requirements

• Master’s degree in Telecommunications Science and Technology / Telecommunications systems /

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