Solutions Architect

Job Summary

The Solution Architect is responsible for translating business needs and enterprise strategies into secure, scalable, integrated, and practical technology solutions. The role develops end-to-end solution architectures across applications, data, integration, security, infrastructure, and cloud services, with domain experience and expertise in Application Architecture and Data Architecture. This position evaluates solution options, defines target designs and transition approaches, manages architectural risks and dependencies, and guides delivery teams throughout the solution lifecycle. The role collaborates with business and technology stakeholders to ensure solutions are aligned with enterprise standards, business capabilities, data governance requirements, and agreed architecture decisions.

Duties and Responsibilities

Solution Architecture & Design

·         Translate business strategies, capabilities, and functional and non-functional requirements into end-to-end solution architectures.

·         Define target-state designs, architecture views, technology components, integration points, deployment models, and transition approaches.

·         Evaluate solution options and recommend designs that balance business value, security, scalability, resilience, cost, delivery feasibility, and operational supportability.

·         Identify architectural risks, constraints, assumptions, and dependencies, and ensure they are addressed throughout the solution lifecycle.

Application Architecture

·         Define application architectures, service boundaries, components, interfaces, and reusable design patterns aligned with business capabilities and enterprise standards.

·         Establish solution patterns for web, mobile, backend services, APIs, identity, security, integration, deployment, and observability.

·         Assess application portfolios, dependencies, and technical debt to support modernization, rationalization, migration, and interoperability decisions

·         Review application and integration designs for compliance with approved standards, security requirements, and architecture decisions.

Data Architecture 

·         Define solution-level data architectures, conceptual and logical data models, data flows, and data integration approaches aligned with enterprise data standards.

·         Guide decisions on data stores, data platforms, master and reference data, analytics enablement, data lifecycle, and appropriate batch or real-time processing patterns.

·         Ensure designs address data quality, security, privacy, access control, lineage, retention, availability, and regulatory requirements.

·         Collaborate with data owners, data engineers, analytics teams, and application teams to enable governed, reliable, and reusable data assets. 

Architecture Governance & Stakeholder Collaboration 

·         Facilitate architecture discussions and communicate solution options, decisions, risks, trade-offs, and recommendations to business and technology stakeholders. 

·         Collaborate with enterprise and domain architects, business analysts, delivery teams, infrastructure, security, operations, data teams, and vendors to align requirements and designs. 

·         Prepare and maintain solution architecture documents, diagrams, standards, traceability, and architecture decision records. 

·         Provide architecture guidance during design, build, testing, deployment, and transition to operations, and support governance reviews and approvals. 

TECHNICAL COMPETENCIES AND SKILLS:

1. Solution Architecture 

·         Strong knowledge of end-to-end solution architecture across applications, data, integration, security, infrastructure, and cloud services. 

·         Ability to translate business, functional, and non-functional requirements into practical solution designs. 

·         Experience developing architecture diagrams, solution options, transition approaches, and architecture decision records. 

·         Ability to evaluate solutions based on business value, scalability, security, resilience, cost, and delivery feasibility. 

2. Application Architecture 

·         Strong understanding of application design patterns, service-oriented architecture, microservices, modular architecture, and cloud-native design. 

·         Experience designing web, mobile, backend, and enterprise application solutions. 

·         Knowledge of application modernization, portfolio rationalization, interoperability, and technical debt assessment. 

·         Familiarity with modern application technologies such as .NET, ASP.NET Core, Blazor, SQL Server, Redis, containers, and Kubernetes. 

3. Data Architecture 

·         Strong understanding of conceptual, logical, and physical data modeling. 

·         Knowledge of data platforms, data warehouses, data lakes, lakehouse architecture, master and reference data, and analytics enablement. 

·         Experience defining data flows, data integration approaches, data lifecycle requirements, and appropriate batch or real-time processing patterns. 

·         Understanding of data quality, lineage, security, privacy, retention, access control, and governance requirements. 

4. Integration Architecture 

·         Strong knowledge of synchronous and asynchronous integration patterns, API-led architecture, event-driven architecture, and messaging. 

·         Experience defining APIs, service boundaries, interface contracts, data mappings, and integration flows. 

·         Familiarity with REST, OpenAPI, API gateways, gRPC, Kafka, change data capture, and the Outbox pattern. 

·         Ability to design integrations for interoperability, resiliency, security, performance, monitoring, and traceability. 

5. Cloud, Infrastructure, and Security Architecture 

·         Working knowledge of cloud platforms, infrastructure services, networking, identity, storage, compute, and deployment models. 

·         Understanding of security-by-design principles, identity and access management, data protection, encryption, and secure integration. 

·         Familiarity with containerization, orchestration, high availability, disaster recovery, scalability, and performance considerations. 

·         Ability to collaborate with infrastructure, cloud, cybersecurity, and operations teams. 

6. Architecture Governance and Documentation 

·         Knowledge of enterprise architecture principles, standards, reference architectures, and governance processes. 

·         Ability to review designs for compliance with architecture, security, data, integration, and technology standards. 

·         Experience preparing solution architecture documents, diagrams, standards, traceability matrices, and decision records. 

·         Familiarity with architecture frameworks and modeling practices such as TOGAF, ArchiMate, UML, and C4. 

7. DevOps and Delivery Practices 

·         Understanding of software development lifecycles, Agile delivery, DevSecOps, continuous integration, and continuous deployment. 

·         Familiarity with Git, Azure DevOps, GitLab CI/CD, infrastructure as code, automated testing, monitoring, and logging. 

·         Ability to provide architecture guidance throughout design, build, testing, deployment, and transition to operations. 

8. Analytical, Communication, and Stakeholder Management 

·         Strong analytical, problem-solving, and decision-making skills. 

·         Ability to assess solution options, identify risks and dependencies, and recommend practical actions. 

·         Strong facilitation, presentation, documentation, and stakeholder management skills. 

• Ability to communicate complex architecture concepts clearly to both business and technical audiences. 

Technical Competencies and Skills

Solution Architecture, Application Architecture, DevOps, Analytical, Integration, Data Analytics

Education, Trainings and Licenses Required

Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, Information Systems