Solutions Architect

Lewis Personnel Management; Makati; Presencial; PHP 1.800.000 - 2.400.000; Jornada completa

Descripción de la vacante

Lewis Personnel Management is seeking an experienced Solutions Architect to lead design and implementation of cloud-native and SaaS solutions on Microsoft Azure. The role bridges business strategy and technical execution within the Oil and Gas sector.

You will guide software teams, ensure secure, scalable architectures, govern using TOGAF, and focus on cost efficiency, integration, and disaster recovery planning.

Formación

• Bachelor's degree in Computer Science, Engineering, or related field.
• 10+ years IT experience including 5+ years as Solution Architect.
• 5+ years as Software Engineer or technical lead.
• Experience in Oil and Gas sector or heavy industrial environments.
• Strong TOGAF knowledge and enterprise architecture patterns.

Responsabilidades

• Design end-to-end architectures using Microsoft Azure services.
• Lead integration strategies across systems and applications.
• Maintain architectural blueprints and TOGAF-based standards.
• Provide technical governance and mentor architects.
• Monitor cloud costs and plan DR frameworks.
• Engage stakeholders, develop PoCs, present trade-offs.

Conocimientos

Azure

Solution Architect

Software Engineer

Leadership

TOGAF

Educación

Bachelor's degree in CS/Engineering

Herramientas

Azure DevOps

Data Factory

Azure SQL

App Services

Functions

Descripción del empleo

Job Title: Solutions Architect - Azure Cloud (Hybris 2x3)

Company Industry: Information Technology / Software Development

Work Location: Makati City, Metro Manila

Position Level: Senior Manager / Director / Specialist (10+ Years IT Experience)

Employment Type: Full-Time, Permanent

Job Description

We are looking for an experienced and visionary Solutions Architect to lead the design and implementation of cloud-native and SaaS enterprise solutions hosted on Microsoft Azure. In this role, you will bridge business strategy and technical execution—designing secure, scalable, and cost-efficient architectures tailored for the Oil and Gas domain while guiding software development teams through implementation.

Key Responsibilities

• 
  Solution Architecture & Design: Design end-to-end architectures using Microsoft Azure services (App Services, Functions, Data Factory, Azure SQL) and specialized SaaS tools.




• 
  Enterprise Integration: Lead integration strategies across systems and applications to ensure seamless data flow, interoperability, and robust security compliance.




• 
  Architecture Governance & Standards: Maintain architectural blueprints, apply TOGAF design principles, and establish reusable architecture patterns.




• 
  Technical Leadership & Mentorship: Provide technical governance to engineering teams across the delivery lifecycle and mentor junior architects.




• 
  Cloud FinOps & Business Continuity: Monitor cloud infrastructure costs and build Disaster Recovery (DR) frameworks for business-critical applications.




• 
  Stakeholder Engagement: Translate complex requirements into actionable solution designs, build Proofs of Concept (PoCs), and present trade‑off analyses to key business stakeholders.

Qualifications & Requirements

• 
  Education: Bachelor's degree in Computer Science, Engineering, or a related field.




• 
  Experience:

  
  
  
  

  • 
    10+ years of total IT experience, including 5+ years as a Solution Architect and 5+ years as a Software Engineer or technical lead.

  
  

  • 
    Demonstrated track record in the Oil and Gas sector or heavy industrial enterprise environments.

  
  



• 
  Core Technical Stack:

  
  
  
  

  • 
    Deep experience with Microsoft Azure stack (App Services, Azure Functions, Azure DevOps, Data Factory, Azure SQL).

  
  

  • 
    Solid mastery of the TOGAF framework and enterprise architecture design patterns.

  
  

Preferred Qualifications (\"Nice-to-Haves\")

• 
  Certifications: Microsoft Certified: Azure Solutions Architect Expert and TOGAF Certification.




• 
  Experience with IoT/Edge computing, Docker/Kubernetes containerization, Data Warehousing, or Machine Learning pipelines.