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, andfunctional andnon-functional requirements into end-to-end solutionarchitectures.
- Define target-state designs, architecture views,technology components, integration points, deployment models, and transitionapproaches.
- Evaluate solution options and recommend designs thatbalance business value, security, scalability, resilience, cost, deliveryfeasibility, and operational supportability.
- Identify architectural risks, constraints,assumptions, and dependencies, and ensure they are addressed throughout thesolution lifecycle.
Application Architecture
- Define application architectures, service boundaries,components, interfaces, and reusable design patterns aligned with businesscapabilities and enterprise standards.
- Establish solution patterns for web, mobile, backendservices, APIs, identity, security, integration, deployment, and observability.
- Assess application portfolios, dependencies, andtechnical debt to support modernization, rationalization, migration, andinteroperability decisions
- Review application and integration designs forcompliance with approved standards, security requirements, and architecturedecisions.
Data Architecture
- Define solution-level data architectures, conceptualand logical data models, data flows, and data integration approaches alignedwith enterprise data standards.
- Guide decisions on data stores, data platforms, masterand reference data, analytics enablement, data lifecycle, and appropriate batchor real-time processing patterns.
- Ensure designs address data quality, security,privacy, access control, lineage, retention, availability, and regulatoryrequirements.
- Collaborate with data owners, data engineers,analytics teams, and application teams to enable governed, reliable, andreusable data assets.
Architecture Governance & StakeholderCollaboration
- Facilitate architecture discussions and communicatesolution options, decisions, risks, trade-offs, and recommendations to businessand technology stakeholders.
- Collaborate with enterprise and domain architects,business analysts, delivery teams, infrastructure, security, operations, datateams, 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 governancereviews and approvals.
TECHNICALCOMPETENCIES AND SKILLS:
1.Solution Architecture
- Strong knowledge of end-to-end solution architectureacross applications, data, integration, security, infrastructure, and cloudservices.
- Ability to translate business, functional, andnon-functional requirements into practical solution designs.
- Experience developing architecture diagrams, solutionoptions, 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, andcloud-native design.
- Experience designing web, mobile, backend, andenterprise application solutions.
- Knowledge of application modernization, portfoliorationalization, interoperability, and technical debt assessment.
- Familiarity with modern application technologies suchas .NET, ASP.NET Core, Blazor, SQL Server, Redis, containers, and Kubernetes.
3. DataArchitecture
- Strong understanding of conceptual, logical, andphysical data modeling.
- Knowledge of data platforms, data warehouses, datalakes, lakehouse architecture, master and reference data, and analyticsenablement.
- Experience defining data flows, data integrationapproaches, data lifecycle requirements, and appropriate batch or real-timeprocessing patterns.
- Understanding of data quality, lineage, security,privacy, retention, access control, and governance requirements.
4.Integration Architecture
- Strong knowledge of synchronous and asynchronousintegration patterns, API-led architecture, event-driven architecture, andmessaging.
- 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, infrastructureservices, networking, identity, storage, compute, and deployment models.
- Understanding of security-by-design principles,identity and access management, data protection, encryption, and secureintegration.
- Familiarity with containerization, orchestration, highavailability, 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 witharchitecture, security, data, integration, and technology standards.
- Experience preparing solution architecture documents,diagrams, standards, traceability matrices, and decision records.
- Familiarity with architecture frameworks and modelingpractices such as TOGAF, ArchiMate, UML, and C4.
7. DevOpsand 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 throughoutdesign, build, testing, deployment, and transition to operations.
8.Analytical, Communication, and Stakeholder Management
- Strong analytical, problem-solving, anddecision-making skills.
- Ability to assess solution options, identify risks anddependencies, and recommend practical actions.
- Strong facilitation, presentation, documentation, andstakeholder management skills.
- Ability to communicate complex architectureconcepts 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