AVP - Enterprise Architect.MGN PAK - Tech - Enterprise Architecture.MIT - PAKCOE

Mashreq NEO CORP

Pakistan

On-site

PKR 3,500,000 - 5,500,000

Full time

14 days+
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Job summary

Mashreq NEO CORP is seeking a senior Enterprise Architect to define and govern the end-to-end technology architecture across infrastructure, data, AI/ML and platform domains. This role partners with data teams, security, and development units to design an integrated ecosystem that accelerates digital transformation.

You will lead modernization across cloud, hybrid, and on‑prem environments, ensure regulatory compliance, drive platform automation, and mentor architects and engineers to deliver

Qualifications

  • 15+ years in infrastructure, data, or platform engineering/operations with architecture leadership.
  • Demonstrated experience defining enterprise-wide infrastructure, platform, data and AI architectures in hybrid environments.
  • Expertise in at least 2 domains from: data platforms, AI/ML platforms, integration, security/zero trust, cloud, container platforms, compute/storage/networks.
  • Familiarity with AIX, RHEL, Oracle DB, Dell EMC, Pure Storage, Data Domain, Cisco, Palo Alto, Checkpoint.
  • Experience with DevOps, Platform Engineering, and observability tools; IaC (Terraform, Ansible, Jenkins).
  • Strong understanding of security governance and regulatory requirements.

Responsibilities

  • Define and maintain enterprise target architecture across infrastructure, platform, integration, data, and AI.
  • Establish guardrails for standardization, data quality, AI readiness, automation, integration, and security by design.
  • Provide enterprise‑level architectural direction for platforms and advanced capabilities.
  • Drive modernization across cloud, hybrid, and on‑prem environments for analytics and AI workloads.
  • Collaborate with data architects to ensure highly available, governed data platforms.
  • Ensure decisions support regulatory compliance for data governance, security, privacy, and residency.
  • Lead evolution of enterprise infrastructure for scalability, AI compute, storage modernization, and cybersecurity.
  • Oversee lifecycle of virtualization, container platforms (OpenShift/Kubernetes), cloud services, storage, and databases.
  • Guide selection/implementation of infrastructure and cloud technologies enabling AI acceleration.
  • Develop capacity planning, business continuity, and disaster recovery strategies.
  • Translate business outcomes into scalable, future‑proof architectures with stakeholders.
  • Lead cross‑functional architecture reviews aligned with roadmaps.
  • Provide technical leadership and mentorship to architects and engineers.
  • Maintain documentation including roadmaps, standards, and guidelines.

Skills

Leadership
Communication
Analytical thinking
Cross-functional collaboration
Cloud architecture
Security architecture
IaC tooling
DevOps

Education

Bachelor’s degree in Computer Science or related field

Tools

Terraform
Ansible
Jenkins
Kubernetes
OpenShift
AWS
Azure
OCI

Job description

The Enterprise Architect is a senior leader within the Enterprise Architecture function, responsible for defining, governing, and evolving the organization’s end‑to‑end technology architecture across infrastructure, data, AI/ML and platform. This role ensures that the enterprise technology landscape is modern, scalable, secure, cloud‑ready, and optimized to enable data‑driven decision-making, intelligent automation, and digital transformation. The Enterprise Architect partners with technology teams, including data & AI teams, infrastructure, application development, security, integration and business domain architects to design an integrated technology ecosystem that accelerates value creation and supports enterprise strategic priorities.

Key Responsibilities
  • Define and maintain the enterprise target architecture across infrastructure, platform, integration, data and AI, including principles, standards, patterns, and reference architectures.

  • Establish architecture guardrails that promote standardization, data quality, AI readiness, platform automation, integration, and security by design.

  • Provide enterprise‑level architectural direction for platforms and advanced capabilities, by defining principles, standards, and target‑state guidance to ensure consistency and reuse across infrastructure, cloud, integration, and platform services.

  • Drive modernization initiatives across cloud, hybrid, and on‑prem environments to support advanced analytics, AI workloads, and scalable digital platforms.

  • Collaborate with data architects and engineers to ensure data platforms are highly available, resilient, governed, and optimized for performance and cost.

  • Ensure technology decisions support regulatory compliance for data governance, security, privacy, and data residency.

  • Lead the evolution of enterprise infrastructure to ensure it meets requirements for scalability, performance, AI compute, storage modernization, network reliability, and cybersecurity.

  • Oversee the lifecycle of key platforms including virtualization, container platforms (e.g., OpenShift/Kubernetes), cloud services, storage, and enterprise databases.

  • Guide the selection and implementation of infrastructure and cloud technologies that support AI acceleration, distributed computing, and modern data workloads.

  • Develop strategies for capacity planning, business continuity, and disaster recovery for critical platforms.

  • Partner with business and technology stakeholders to translate business outcomes into capable, scalable, and future-proof technology architectures.

  • Lead cross-functional architecture reviews and ensure alignment with enterprise architecture roadmaps.

  • Provide technical leadership and mentorship to architects, engineers, and project teams.

  • Maintain comprehensive documentation including roadmaps, reference architecture, standards, and guidelines.

  • Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience).

  • 15+ years in infrastructure, data, or platform engineering/operations, with 5–7 years in architecture leadership roles.

  • Demonstrated experience defining enterprise-wide infrastructure, platform, data and AI architectures in complex hybrid environments.

  • Expertise in at least 2 domains from:

    • Enterprise data platforms, data engineering, analytics platforms.

    • AI/ML platforms, model lifecycle technologies, MLOps.

    • Integration platform (API Gateway, Enterprise Message Bus, Event Driven Architecture)

    • Security, identity, zero trust architecture, cryptography, perimeter defense, DevSecOps, Container security

    • Cloud architecture (Azure, OCI, AWS).

    • Container platforms (Kubernetes, OpenShift).

    • Compute, storage, networking, security, and virtualization technologies.

  • Familiarity with infrastructure and platform solutions such as AIX, RHEL, Oracle Database, Dell EMC Storage, Pure Storage, Data Domain, Cisco, Palo Alto, Checkpoint.

  • Experience with DevOps, Platform Engineering, and observability tools.

  • Hands‑on experience with Infrastructure‑as‑Code (IaC) and automation tools (Terraform, Ansible, Jenkins, etc.).

  • Strong understanding of security architecture, cloud governance, and regulatory requirements.

  • Proven ability to lead large‑scale platform, data, or infrastructure transformation initiatives.

  • Excellent communication, analytical thinking, and cross‑functional leadership skills.

  • Certifications in cloud, networking, infrastructure, or architecture frameworks (AWS, Azure, TOGAF) are a plus.

  • Experience with ITIL, Agile, and modern delivery methodologies.

Required Qualifications and Skills
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