Enterprise Architect - Cloud, Data & AI Platforms

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 experience is Mandatory

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.