We are seeking a senior, business-oriented Technology & Architecture Consultant to lead current-state and future-state architecture assessments across applications, data, DevOps, and AI readiness.
This role focuses on evaluating how modern, cloud-based platforms support document-driven workflows, digital commerce, and scalable product experiences, and defining a clear, pragmatic target architecture aligned with business growth.
The ideal consultant combines deep technical expertise with the ability to translate business strategy into clear architectural direction and actionable roadmaps.
Key Objectives
- Assess the current-state architecture across applications, data, DevOps, and cloud platforms
- Identify gaps, risks, scalability issues, and technical debt
- Define future-state architecture principles and blueprints aligned with business and product goals
- Create a prioritized modernization roadmap with sequencing and investment guidance
- Ensure technology supports document workflows, integrations, e-commerce, and AI enablement
Core Responsibilities
1. Discovery & Current-State Assessment
- Lead structured discovery across:
- Application architecture
- Data platforms and databases
- DevOps pipelines and cloud infrastructure
- Conduct stakeholder interviews across product, engineering, and operations
- Evaluate:
- System workflows, integrations, and dependencies
- Data models, consistency, and performance
- CI/CD maturity, automation, and deployment reliability
- Cloud governance, security, and observability
- Document pain points, constraints, and improvement opportunities
2. Application & Integration Architecture
- Assess modern web and platform architectures built with:
- React-based frontends
- API-driven and service-oriented backends
- E-commerce platforms (e.g., BigCommerce-type systems)
- Review integration patterns (REST APIs, webhooks, eventing, middleware)
- Evaluate document and workflow handling, metadata, permissions, and versioning
- Recommend modernization approaches (API-first, modular, event-driven)
3. Data, AI Readiness & Databases
- Assess relational and NoSQL data stores (e.g., SQL, MongoDB)
- Evaluate data ingestion, transformation, and synchronization between systems
- Identify data quality, governance, and scalability gaps
- Assess readiness for AI-enabled use cases such as:
- Document classification and extraction
- Metadata enrichment and search
- Workflow automation and recommendations
- Define principles for operational vs analytical data separation
4. DevOps & Cloud Architecture
- Evaluate CI/CD pipelines, release processes, and environment consistency
- Assess Azure-based cloud architecture and services
- Review infrastructure provisioning, automation, and cost efficiency
- Evaluate observability, monitoring, and incident response practices
- Identify opportunities for Infrastructure-as-Code and standardized pipelines
5. Future-State Architecture & Roadmap
- Define future-state architecture across:
- Applications & integrations
- Data & analytics platforms
- AI enablement
- DevOps & cloud infrastructure
- Establish clear architectural principles and guardrails
- Develop a phased modernization roadmap (short-, mid-, long-term)
- Support executive reviews and architecture alignment workshops
Key Deliverables
- Current-State Architecture Assessment
- Gap & Risk Analysis
- Future-State Architecture Blueprints
- Data & AI Readiness Strategy
- DevOps & Cloud Modernization Strategy
- Prioritized Implementation Roadmap
- Executive-ready summary and recommendations
Required Experience & Qualifications
Must Have
- 10+ years of experience in architecture, platform engineering, or technical consulting
- Proven experience leading current-state / future-state assessments
- Strong hands-on knowledge of:
- Azure cloud services
- React-based web applications
- MongoDB and relational databases
- E-commerce platforms (BigCommerce, Shopify, or similar)
- Strong understanding of business workflows and product strategy
- Ability to translate technical findings into business-focused recommendations
- Excellent stakeholder facilitation and communication skills
Nice to Have
- Experience with AI/ML enablement or AI-ready data architectures
- Experience with document-centric or workflow-heavy platforms
- Background in B2B, construction, or regulated industries
- Prior experience as a Principal Consultant or Lead Architect
Engagement Style
- Strategic and hands-on
- Business-first, technology-enabled
- Comfortable working with executives and delivery teams
- Focused on clarity, pragmatism, and execution-ready outcomes
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