Enterprise Architect – Cloud, Data & AI Platforms

Job description

**Job Requirements** At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster. **Role Summary** The Enterprise Architect is responsible for defining and governing the technology strategy, architecture standards, and digital transformation roadmap across distributed systems, cloud platforms, data ecosystems, and AI-driven solutions. The role bridges business objectives and technology execution while ensuring scalability, security, and innovation. **Key Responsibilities** **1. Enterprise Architecture Strategy** Define enterprise technology vision and target architecture. Establish architecture principles, standards, and governance frameworks. Align technology investments with business capabilities and strategic objectives. Lead modernization initiatives and technology roadmaps. **2. Application & Microservices Architecture** Design large-scale distributed systems using **Java** and **Go**. Architect cloud-native microservices and event-driven systems. Define: API-first architecture Domain-Driven Design (DDD) Service mesh and observability Resilience and fault tolerance patterns Multi-region deployment strategies Drive performance, scalability, and high availability. **3. Cloud & Platform Engineering** Architect solutions on major cloud platforms such as Amazon Web Services, Microsoft and Google. Define: Kubernetes platforms CI/CD and DevSecOps pipelines Infrastructure as Code Platform engineering standards FinOps and cost optimization strategies **4. Data Engineering & Analytics** Design enterprise data platforms and modern data architectures: Data Lake and Lakehouse MongoDB or other nonrelational DB Streaming and batch pipelines Data governance and lineage Master data management Real-time analytics architectures Establish data quality, security, and compliance standards. Enable self-service analytics and data democratization. **5. AI & Intelligent Systems** Define enterprise AI strategy and governance. Architect: Generative AI solutions Agentic AI frameworks Retrieval-Augmented Generation (RAG) AI model integration and orchestration Responsible AI and security controls Evaluate and integrate AI platforms and emerging technologies. Drive AI adoption across business functions. **6. Leadership & Stakeholder Management** Serve as trusted advisor to executives and engineering leaders. Lead architecture review boards and technology governance forums. Mentor solution architects and engineering teams. Influence technology decisions across multiple business domains. Drive cross-functional collaboration and innovation culture. ⸻ **Technical Competencies** **Programming** Java (Spring Boot, Reactive Programming) Go (Golang microservices) Python for AI and automation **Architecture** Distributed Systems Event-Driven Architecture Microservices API Management Domain-Driven Design Integration Patterns **Cloud & DevOps** Kubernetes Docker CI/CD Infrastructure as Code Observability and SRE Security Architecture **Data Engineering** Data Lake/Lakehouse Streaming Platforms Data Warehousing ETL/ELT Data Governance Metadata Management **AI** Generative AI Agentic AI Prompt Engineering LLM Integration Vector Databases AI Governance ⸻ **Expected Leadership Outcomes** Enterprise-wide technology strategy and transformation leadership. Scalable and resilient cloud-native platforms. Unified data and AI ecosystem. Reduced technical debt and improved engineering productivity. Accelerated innovation through AI-driven capabilities. Strong architecture governance and business alignment We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard. We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.