ENTERPRISE ARCHITECT

Nagarro; Muscat; On-site; OMR 24,000 - 48,000; Full time

Job summary

Responsibilities include defining architecture strategy, governing data platforms, and leading RFP responses. Strong leadership and stakeholder management are essential for success in this role.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• TOGAF or Cloud Architect certifications preferred.
• 12+ years of experience in enterprise and solution architecture across multiple industries.

Responsibilities

• Define and drive enterprise architecture strategy aligned with business goals across domains (Telco, Energy, Public Sector, BFSI).
• Lead end-to-end solution architecture for large transformation programs with focus on scalability, security, and performance.
• Design data-driven architectures, data platforms, analytics ecosystems, and AI/ML solutions.
• Architect and implement solutions leveraging Cloud (OCI/AWS/Azure/GCP), Microservices, APIs, and Modern Web Technologies.
• Drive adoption of AI capabilities including Generative AI and agentic AI frameworks for enterprise use cases.
• Establish governance, standards, and best practices across programs and portfolios.
• Collaborate with stakeholders to translate requirements into scalable architecture blueprints.
• Provide technical leadership across delivery teams and guide vendors and tool selection.
• Lead solutioning for RFPs and client engagements, including effort estimation and strategy.

Skills

Enterprise Architecture

Cloud Architecture

Data Architecture

Generative AI

MLOps

Cross-domain leadership

AI strategy

Education

Bachelor's or Master's in CS/Engineering

Job description

Job Description Must have Skills : Architecture (Strong), Cloud architecture (Strong), Technology Architect - Data Architecture (Strong), Technology Architect - Generative AI,

Experience: 12+ Years

Role Overview We are seeking a seasoned Enterprise & Solution Architect with strong cross-domain expertise and deep technology capabilities to drive large-scale digital transformation initiatives. The role requires a strategic thinker with hands-on architecture experience across industries such as Telecom, Energy, Public Sector, and BFSI, combined with strong proficiency in modern technology stacks including cloud, web, and advanced Data & AI.

Key Responsibilities

• Define and drive enterprise architecture strategy aligned with business goals across multiple industry domains (Telco, Energy, Public Sector, BFSI).
• Lead end-to-end solution architecture for large, complex transformation programs, ensuring scalability, security, and performance.
• Design and govern data-driven architectures, including data platforms, analytics ecosystems, and AI/ML solutions.
• Architect and implement solutions leveraging Cloud (OCI/AWS/Azure/GCP), Microservices, APIs, and Modern Web Technologies.
• Drive adoption of AI capabilities, including Machine Learning, Generative AI, and emerging Agentic AI frameworks for enterprise use cases.
• Establish architecture governance, standards, and best practices across programs and portfolios.
• Collaborate with business stakeholders to translate requirements into scalable and future-ready architecture blueprints.
• Provide technical leadership across delivery teams, ensuring alignment with architecture vision and quality benchmarks.
• Evaluate and recommend technology platforms, tools, and vendors aligned with enterprise strategy.
• Lead solutioning for RFPs, proposals, and client engagements, including effort estimation and technical strategy.

Key Skills & Competencies

• Domain Expertise - Strong understanding of at least two or more domains:
  • o Telecom (BSS/OSS, Digital Channels)
  • o Energy & Utilities
  • o Public Sector (eGov, Smart City)
  • o BFSI (Banking, Payments, Insurance)
• Technology Expertise
  • Cloud Platforms: AWS, Azure or GCP (multi-cloud exposure preferred)
  • Architecture Patterns: Microservices, Event-driven, API-first, Domain-driven design
  • Web Technologies: Modern front-end and backend frameworks
  • Integration: APIs, Middleware, ESB, iPaaS
  • Data & AI (Core Focus) - Strong expertise in Data Architecture (Data Lakes, Data Warehouses, Lakehouse)
  • Hands-on experience with ML models and lifecycle management (MLOps)
  • Experience in Generative AI (LLMs, prompt engineering, RAG architectures)
  • Exposure to Agentic AI systems (autonomous agents)
  • Knowledge of data governance, security, and privacy frameworks

Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or related field

Architecture certifications (TOGAF, Cloud Architect certifications) preferred

Leadership & Behavioral Skills

• Strong stakeholder management and executive communication skills
• Ability to operate at both strategic and hands-on levels
• Proven experience in leading distributed and cross-functional teams
• Strong problem-solving and decision-making capabilities