Solution Architect
Solution Architect
Cognizant Consulting- Posted 3 hours ago
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Job Description
Key Responsibilities
- Design end-to-end architecture for complex, multi-tiered systems, from requirements through implementation and production support.
- Lead the transformation of traditional monolithic applications into modern, loosely coupled, microservices-based architectures.
- Design highly available, resilient, and fault-tolerant solutions for customer-facing applications operating at bank scale.
- Architect and guide the development of cloud-native applications and API-first solutions.
- Partner with engineering, infrastructure, security, and DevOps teams to ensure solutions meet enterprise standards for performance, scalability, and compliance.
- Conduct system and process analysis to identify architectural gaps and opportunities for automation and performance improvement.
- Evaluate and recommend data storage strategies across RDBMS, NoSQL, and legacy/emerging database technologies.
- Act as a technical liaison between engineering teams and non-technical/business stakeholders, clearly communicating architectural trade-offs and decisions.
- Ensure solutions adhere to banking-industry regulatory, security, and data-privacy requirements (e.g., PCI-DSS, SOX, GLBA, and internal risk/compliance frameworks).
- Contribute to architecture governance, design reviews, and the definition of reusable patterns and standards across the GCC.
- Mentor engineers and junior architects on architectural best practices (Principal level and above).
- 12–15 years of experience in web/software development, with progressively increasing responsibility in solutions or enterprise architecture.
- Proven, hands-on experience with the end-to-end delivery of complex, multi-tiered software systems.
- Strong foundation across multiple IT disciplines, with demonstrated understanding of core architectural concepts and patterns (e.g., SOA, event-driven, microservices, domain-driven design).
- Experience conducting system and process analysis to inform architectural decisions.
- Excellent communication and facilitation skills, with the ability to lead technical discussions with both technical and non-technical/business stakeholders.
- Solid experience working with data and database management systems, including both legacy and modern/emerging database technologies.
- Experience with RDBMS required; hands-on experience with NoSQL is required.
- Demonstrated experience designing and building highly available, customer-facing applications in a global delivery/shared-services (GCC) model.
- Experience designing and building cloud-native applications and RESTful/GraphQL APIs.
- Demonstrated experience designing highly available, resilient architectures, including automation and performance-optimization initiatives.
- Proven experience transforming monolithic architectures into modern, decoupled microservices-based systems.
- Working experience in at least two to three of the following domains: Infrastructure, Security, DevOps, Application Development, Database Technologies, or Cloud Computing (AWS, Azure, or GCP).
- Bachelor's degree in computer science, Engineering, or a related field (or foreign equivalent); equivalent professional experience will also be considered.
- Prior experience in the banking or financial services domain, including an understanding of consumer and custodial banking operations and experience handling sensitive financial data.
- Strong business analysis, solution-crafting, stakeholder management, and executive presentation skills.
- Experience in cybersecurity architecture or secure-by-design principles.
- Working knowledge of multiple programming languages and at least one modern front-end framework (Angular, React, or Vue), such as Python, Java, JavaScript, Ruby, Golang, C, or C++.
- UI/UX design exposure, including familiarity with web/application branding and design-system practices.
- Cloud architecture certification(s) — AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect.
- Enterprise architecture framework knowledge (e.g., TOGAF) or equivalent certification.
- Experience working in Agile/SAFe delivery environments across distributed, global teams and time zones.
- Technical Depth — Ability to go deep on architecture, code, and infrastructure when needed
- Strategic Thinking — Connects technical decisions to business and enterprise outcomes
- Communication — Translates complex technical concepts for varied audiences
- Collaboration — Works effectively across globally distributed, cross-functional teams
- Risk & Compliance Awareness — Understands the regulatory weight of decisions in a banking environment
More Info
Key Skills
cloud-native applications
API-first solutions
multi-tiered software systems
About Company
Skills:
Domain-Driven Design (DDD), Security & DevOps, Stakeholder & Technical Leadership, architecture governance , Software Development, Solution Architecture, AWS, Azure, Gcp, Soa, Microservices, Rdbms, Nosql, Angular, React, Vue.JS, Togaf, event-driven architecture, API Architecture, Infrastructure, PCI-DSS, Sox, GLBA, Cybersecurity architecture, AWS Solutions Architect, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect
Early Applicant
Skills:
.NET, C#, Linq, Solid Principles, Design Patterns, Microservices, Sql, Angular, Devops, React, Distributed Systems, Rest Apis, Azure, AWS, CI/CD, ASP.NET Core Web API, EF Core
Skills:
Lightning Web Components (LWC), Salesforce Configuration, Devops, Service Cloud, Sales Cloud, APEX, Field Service Lightning, AppExchange products, Salesforce APIs, security models, Custom Development, CI/CD pipelines, system integrations, integration patterns
Skills:
Java, Rabbitmq, Devops, Nodejs, Kafka, Python, Cloud Platforms, Design Architecture, CI CD, Deployment patterns
Skills:
data warehouses , snowflake , Data Modeling, Microservices, Tensorflow, Pytorch, Solution Design, Ml, BigQuery, Spark, Data Governance, Databricks, Etl, API-first design, Airflow, Hugging Face, enterprise SaaS architecture, Crm Systems, MLOps tools, Streaming Data, Ai, event-driven architectures, cloud-native technologies, ELT pipelines, dbt, data platform engineering