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Enterprise Solution Architect

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Description

About the Team / Organization

Outscale Partners is a fully owned subsidiary of The Argenbright Group and was established in 2022. The group brings more than 45 years of experience in transforming labour-intensive, essential frontline services across industries. It has operations across the United States, the United Kingdom, Middle East and India, supporting clients through a strong combination of industry expertise, technology, and people-centric service models.

Outscale Partners focuses on delivering innovative workforce and service solutions that

enhance operational efficiency and customer experience.

  • Shift Timing: Rotational / Day Shift / Night Shift (e.g., 9:00 AM 6:00 PM or US

Shift/as per requirement).

  • Work Mode: Work from Office / Hybrid / Remote.
  • Cab Facility: Company-provided cab for pick-up and drop as per the company

transport policy

  • Medical Policy: Comprehensive medical insurance policy with coverage for

specified parents


Role & responsibilities

Role Summary

We are looking for a highly experienced Enterprise Architect with 15+ years of experience in Enterprise Architecture, Solution Architecture, Cloud, Digital Transformation, AI, and Technology Consulting. The ideal candidate will drive enterprise-wide technology strategy, define target architectures, lead large transformation initiatives, and architect AI-enabled business solutions aligned with organizational objectives.

The role requires close collaboration with business stakeholders, engineering teams, product owners, and delivery organizations to build scalable, secure, and future-ready technology platforms while leveraging AI, Generative AI, automation, and modern cloud-native architectures.


Key Responsibilities:

Enterprise Architecture

  • Develop and maintain enterprise architecture strategy, principles, standards, and governance.
  • Define current-state, target-state, and transition architectures.
  • Lead architecture review boards and design governance.

Solution Architecture

  • Lead architecture and solution design for large enterprise transformation programs.
  • Design scalable cloud-native, API-first, event-driven, and microservices-based solutions.

AI & Generative AI

Lead enterprise AI adoption including:

  • Enterprise AI roadmap
  • AI governance

Cloud & Platform Architecture

Lead cloud transformation initiatives involving:

  • Platform Engineering

Technology Strategy

  • Define enterprise technology roadmap.
  • Develop reference architectures and reusable technology patterns.
  • Evaluate COTS, SaaS, PaaS, and custom engineering approaches.
  • Recommend modernization strategies (Retain, Rehost, Refactor, Replatform, Repurchase, Retire).
  • Lead technology standardization initiatives.

Architecture Governance

Establish governance for:

  • Architecture reviews
  • Solution approvals
  • Security architecture
  • API governance
  • Design standards


Required Technical Skills:

Enterprise Architecture

  • TOGAF
  • Zachman Framework
  • ArchiMate
  • Business Capability Mapping
  • Value Stream Mapping
  • Enterprise Architecture Repository

Solution Architecture

  • Microservices
  • Domain Driven Design (DDD)
  • Event-Driven Architecture
  • API Management
  • Enterprise Integration Patterns
  • SOA
  • Cloud-native Architecture

Leadership Responsibilities

  • Lead enterprise architecture practice.
  • Mentor solution architects and technical leads.
  • Drive architecture governance.
  • Build reusable architecture assets.
  • Lead architecture communities of practice.
  • Support strategic bids and presales activities.
  • Participate in executive steering committees.

Preferred Certifications

Enterprise Architecture

  • TOGAF Certified
  • ArchiMate

Cloud

  • Microsoft Certified: Azure Solutions Architect Expert
  • AWS Certified Solutions Architect Professional
  • Google Professional Cloud Architect

Preferred candidate profile

The ideal candidate is a strategic technology leader who can bridge business strategy, enterprise architecture, AI innovation, and engineering execution. They should be comfortable leading executive discussions, shaping large transformation programs, governing enterprise architecture, and driving adoption of cloud, data, and AI technologies to deliver measurable business outcomes.


Skills

Apply

See also

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