Senior Solutions Architect at Darede driving AWS cloud solutions and supporting business opportunities. Collaborating with clients to deliver strategic cloud architectures and enhancements.
Responsibilities
Act as the technical and strategic reference for AWS cloud architecture and pre-sales solutions.
Support the commercial and support teams in identifying opportunities, preparing technical proposals, cost estimates/analyses, and solutions aligned with customer requirements.
Hold technical and business meetings with clients to gather requirements, understand the current environment, and design solutions.
Develop reference architectures based on AWS best practices.
Produce technical documentation and executive presentations to support commercial proposals and public/private tenders.
Lead PoCs (Proofs of Concept) and technical solution presentations.
Ensure a smooth transition of projects from pre-sales to delivery, ensuring adherence to the defined scope and strategy.
Participate in strategic roadmaps with clients, supporting modernization, cloud adoption, and digital transformation initiatives.
Provide technical oversight for defining architecture standards and strategies for sold projects.
Requirements
Lead high-complexity topics with minimal supervision, escalating when necessary.
Ability to map business requirements and translate them into scalable, secure, and resilient solutions.
Strong verbal and written communication skills and a solid ability to engage with all levels, areas of the organization, and clients, ensuring alignment between technical and executive stakeholders.
Extensive experience in cloud Solutions Architecture (AWS) in complex environments including managed services, microservices, containers, automation, pipelines, data, analytics, and AI/ML.
Knowledge of FinOps practices, the AWS Well-Architected Framework, security, and governance in cloud environments.
Experience with multicloud environments for migration assessments.
Technical English.
**+Preferred**
AWS certification (Solutions Architect Associate or Professional) is desirable, but equivalent knowledge to Specialty certifications is acceptable.
Previous experience in opportunity generation (pre-sales, TAM, sales/commercial).
Experience with projects involving migrations, machine learning, predictive models, or generating insights with AI.
Familiarity with RFI/RFP processes and technical presentations for executives.
Benefits
Flexible working hours
Educational incentives (partnerships with educational institutions)
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