Key Responsibilities and Required Skills for IT Solution Architect
💰 $120,000 - $190,000
ITSolution ArchitectureCloudEnterprise Architecture
🎯 Role Definition
The IT Solution Architect is a senior technical leader responsible for designing, validating and driving implementation of end-to-end technology solutions that deliver business value. This role blends enterprise architecture principles, cloud and on-premise design, integration, security, and operational readiness. The IT Solution Architect partners with product owners, engineering teams, security, operations and stakeholders to translate business requirements into scalable, secure, cost-effective architectures and implementation roadmaps.
📈 Career Progression
Typical Career Path
Entry Point From:
- Senior Software Engineer with systems design experience
- Technical Lead / Engineering Manager with architecture responsibilities
- Infrastructure Architect / Cloud Engineer
Advancement To:
- Enterprise Architect
- Head of Architecture / Director of Technology
- Chief Technology Officer (CTO) or VP of Engineering
Lateral Moves:
- Cloud Architect (AWS/Azure/GCP Specialist)
- Integration / Data Architect
- Solutions Consultant / Pre-Sales Architect
Core Responsibilities
Primary Functions
- Design and own end-to-end solution architectures that meet business objectives, balancing functional requirements with non-functional requirements such as scalability, availability, performance, security and cost optimization across cloud (AWS/Azure/GCP) and on-premise environments.
- Lead solution design sessions and workshops with stakeholders to translate business requirements into architecture blueprints, sequence deliverables, and measurable success criteria.
- Define architecture principles, patterns, and standards (microservices, event-driven, serverless, containerization) and ensure engineering teams apply these consistently through reviews and governance.
- Create and maintain detailed architecture diagrams, component interaction maps, data flow diagrams, and sequence diagrams to communicate designs to engineering and operations teams.
- Evaluate and recommend technology platforms, third-party vendors, and open-source components; manage proof-of-concepts (POCs) and vendor evaluations to validate fit, cost, and technical risk.
- Drive cloud migration and hybrid cloud strategies, including re-platforming, re-hosting or refactoring applications for cloud-native architectures and container orchestration (Kubernetes).
- Define and enforce API and integration strategies: REST/GraphQL API design, API gateways, contract-first development, event streaming (Kafka), message queueing, and ESB patterns.
- Ensure security and compliance by embedding identity and access management (IAM), encryption, secure data handling, threat modeling, and regulatory requirements (GDPR, HIPAA, PCI) into solution designs.
- Collaborate closely with DevOps engineering to define CI/CD pipelines, automated testing, deployment strategies, infrastructure-as-code (Terraform/CloudFormation), and release orchestration.
- Perform architecture reviews, code/design reviews and spike investigations to mitigate technical risk, reduce technical debt, and ensure maintainability and operability.
- Produce cost estimates, total cost of ownership (TCO) analyses, capacity planning and performance budgets; recommend cost optimization strategies across compute, storage and data transfer.
- Drive observability and operational readiness by specifying logging, metrics, tracing, alerting and runbooks; partner with SRE/ops to ensure reliable service-level objectives (SLOs) and incident response.
- Manage cross-team dependencies and integration risks, coordinate delivery across multiple agile teams, and maintain solution roadmaps with clear milestones and delivery ownership.
- Mentor and coach engineering teams, conduct training on architecture patterns and new technologies, and contribute to continuous improvement of engineering practices.
- Lead technical discussions during pre-sales and RFP responses, creating solution proposals, architecture artifacts and technical ROI arguments to support commercial pursuits.
- Define data architecture and collaborate with data architects on data modeling, batch/streaming pipelines, metadata, and governance to ensure data consistency and accessibility.
- Establish disaster recovery, backup, business continuity and resilience strategies aligned to recovery time objectives (RTO) and recovery point objectives (RPO).
- Drive automation of infrastructure and platform provisioning, enabling self-service developer platforms and reducing lead time for changes.
- Establish and enforce quality attributes for solutions including testability, observability, security, maintainability and extensibility; measure and report architecture health metrics.
- Facilitate architecture governance: establish review boards, set acceptance criteria, approve major design changes and ensure architectures align to enterprise roadmaps.
- Stay current with emerging technologies, industry trends and best practices (microservices, serverless, AI/ML integration, edge computing) and assess applicability to the organization.
- Resolve escalated technical issues and provide decision-making support during incidents or critical production events.
- Capture and document architectural decisions, trade-offs and rationale in decision records to ensure traceability and knowledge sharing.
- Collaborate with procurement and legal teams to analyze vendor contracts, SLAs and licensing implications for architectural choices.
Secondary Functions
- Support ad-hoc data requests and exploratory data analysis.
- Contribute to the organization's data strategy and roadmap.
- Collaborate with business units to translate data needs into engineering requirements.
- Participate in sprint planning and agile ceremonies within the data engineering team.
- Assist in building architecture reference implementations, reusable components and internal frameworks to accelerate delivery.
- Provide input to security and compliance audits and support remediation planning for architecture-related findings.
- Participate in customer or partner technical workshops and joint architecture design sessions.
- Maintain and update architecture repositories, knowledge base articles and onboarding documentation for new engineers.
- Support performance testing efforts and tuning recommendations to validate architecture assumptions.
- Advise on licensing, procurement and cost allocation for cloud and third-party services.
Required Skills & Competencies
Hard Skills (Technical)
- Cloud platform expertise: hands-on architecture and operational experience with AWS, Microsoft Azure or Google Cloud Platform (GCP) including compute, networking, storage, IAM, and managed services.
- Solution design for microservices, event-driven architectures, serverless computing, and containerized applications (Docker, Kubernetes).
- Strong API design and integration skills: RESTful APIs, GraphQL, API Gateway, OAuth/OpenID Connect, message brokers (Kafka, RabbitMQ), and ESB patterns.
- Infrastructure-as-Code and automation: Terraform, CloudFormation, Ansible, or similar tools for repeatable and auditable provisioning.
- CI/CD and DevOps pipelines: Jenkins, GitLab CI, Azure DevOps, GitHub Actions; experience building automated testing and deployment workflows.
- Security architecture: identity and access management, encryption, secure key management, threat modeling and secure design patterns.
- Data architecture and integration: familiarity with relational and NoSQL databases, data lakes, streaming platforms, ETL/ELT processes and data governance.
- Observability and monitoring: Prometheus, Grafana, ELK/EFK stack, Datadog, Splunk, OpenTelemetry for metrics, logs and distributed tracing.
- System design and modeling: UML, C4 model, system decomposition, scalability and performance modeling, capacity planning.
- Programming and scripting proficiency: at least one high-level language such as Java, C#, Python, Go, or Node.js to validate designs and POCs.
- Enterprise architecture frameworks and governance: TOGAF, Zachman or equivalent experience establishing architecture standards and review processes.
- Networking fundamentals: TCP/IP, load balancing, CDN, DNS, VPNs and hybrid network architectures.
- Cost modeling and capacity planning skills to produce TCO, ROI, and cloud cost optimization recommendations.
- Experience with identity platforms (Active Directory, Azure AD, IAM), SSO and federation technologies.
Soft Skills
- Exceptional stakeholder management and communication skills to translate complex technical concepts into business-facing language.
- Strategic thinking with the ability to align technical solutions to business objectives and measurable outcomes.
- Strong leadership and influence to drive architectural decisions across distributed teams without direct authority.
- Problem-solving mindset and the ability to make pragmatic trade-offs in ambiguous situations.
- Collaboration and facilitation skills to run workshops, architecture reviews, and consensus-building sessions.
- Mentoring and coaching to develop engineering capability and promote best practices.
- Time management and prioritization with demonstrated ability to manage multiple concurrent initiatives.
- Adaptability and continuous learning orientation to evaluate and adopt new technologies appropriately.
- Negotiation and vendor management skills for working with third parties and procurement teams.
- Detail-oriented and documentation-focused to maintain clear architecture artifacts and decision records.
Education & Experience
Educational Background
Minimum Education:
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, or a related technical discipline.
Preferred Education:
- Master’s degree in Computer Science, Software Engineering, Information Technology, or MBA with a technical background.
- Industry certifications (e.g., AWS Certified Solutions Architect Professional, Microsoft Certified: Azure Solutions Architect Expert, Google Professional Cloud Architect, TOGAF).
Relevant Fields of Study:
- Computer Science
- Software Engineering
- Information Systems
- Cloud Computing / Distributed Systems
- Data Engineering / Data Science
Experience Requirements
Typical Experience Range:
- 5–12+ years of professional IT experience with at least 3–5 years in architecture or technical lead roles.
Preferred:
- 8+ years of experience designing and delivering enterprise-grade solutions across cloud and hybrid environments, with demonstrable experience in integration, security, DevOps and stakeholder leadership.