What We Can Offer
- Healthcare plan and Insurance package
- Professional environment working with top experts from worldwide big tech companies
- 13th monthly salary, Performance Bonus
Job Description
A forward-looking organization is seeking a senior architecture leader to define and drive its enterprise-wide technology blueprint.
This position is responsible for shaping the long-term architecture vision, ensuring alignment between business priorities and technology execution, and guiding the transition from fragmented legacy systems to a unified, scalable digital ecosystem.
You will act as the central point connecting business, engineering, and platform teams, ensuring that all technology initiatives follow a cohesive and future-ready architecture strategy.
Key Responsibilities:
Enterprise Architecture & Governance
- Establish and enforce enterprise-wide architecture principles, standards, and decision frameworks
- Ensure engineering teams maintain agility while complying with core architectural guidelines
- Lead architecture governance processes, including review boards and approval workflows for key initiatives
Technology Strategy & Design
- Define end-to-end architecture across platforms, applications, and integration layers
- Develop target-state architecture and modernization roadmaps aligned with business strategy
- Introduce reusable architecture patterns and reference models across the organization
- Guide decisions on cloud adoption, system integration, and platform evolution
System Integration & Standardization
- Design and promote standardized approaches for APIs, services, and system interoperability
- Maintain a centralized view of enterprise systems, applications, and technical capabilities
- Ensure seamless integration between legacy platforms and modern digital solutions
Operational Excellence & System Assurance
- Monitor system performance, scalability, and reliability through architectural controls and KPIs
- Ensure alignment with security standards, data governance policies, and regulatory requirements
- Support engineering teams in managing technical debt and improving system quality
Cross-Functional Leadership
- Collaborate with stakeholders across product, engineering, data, security, and operations teams
- Facilitate discussions to resolve complex technical challenges and align on architectural direction
- Provide hands-on guidance to agile teams to ensure consistent implementation of architecture standards
Frameworks, Policies & Governance Models
- Design and maintain enterprise architecture frameworks, including policies, standards, and decision rights
- Define lifecycle management strategies for systems, including modernization and decommissioning
- Drive adoption of governance practices across business units and technology domains
Program Support & Architecture Oversight
- Establish structured processes for project intake, architecture evaluation, and approval
- Lead architecture review sessions with business and technical stakeholders
- Assess solution designs to ensure compliance with enterprise architecture strategy
- Support delivery teams throughout project lifecycles to align execution with target architecture
Job Requirements
Candidate Profile:
- Bachelor’s degree in Computer Science, Information Systems, or a related technical discipline
- 8 years of experience in IT, including at least 3 years in architecture-focused roles (enterprise, solution, or similar)
- Strong knowledge of enterprise architecture methodologies (e.g., TOGAF, Zachman)
- Solid understanding of cloud platforms (AWS, Azure, or GCP), microservices, APIs, and system integration patterns
- Experience working with architecture governance models and design tools
- Familiarity with full software development lifecycle, including deployment and operational monitoring
Advanced Technical Expertise (Preferred):
- Hands-on experience applying AI/ML solutions in real-world business scenarios
- Strong command of modern AI/ML ecosystems (e.g., Python, deep learning frameworks, vector databases, orchestration tools)
- Deep understanding of data architecture, including modern data pipelines, event-driven systems, and cloud data platforms
- Experience with integration technologies such as messaging systems and API-based architectures
- Knowledge of data privacy, regulatory compliance, and ethical considerations in AI systems
Key Capabilities:
- Strong analytical thinking and structured problem-solving
- Ability to translate complex technical concepts into business-friendly language
- Excellent stakeholder management and cross-functional collaboration skills
- Experience leading or influencing technical communities or engineering guilds