高级经理 - 企业架构师.MGN PAK - 技术 - 企业架构.MIT - PAKCOE

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
Originally posted on Himalayas