Solutions Architect (Presales)
Bespin Global MEA, an e& enterprise company
Dubai, United Arab Emirates · Full Time
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- Experience
- 8+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 2 weeks ago
- Work mode
- In office
- Resume
- Required to apply
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Job description
Overview
The Solutions Architect will spearhead enterprise clients' adoption of multi-cloud environments, primarily focusing on Azure and AWS. This role blends technical knowledge with commercial insight, requiring the creation of architectural designs, facilitation of customer workshops, and presentation of solutions that combine technical strength with business value.
Key Responsibilities
- Engage directly with clients to comprehend both their business objectives and technical requirements.
- Design scalable, secure, and high-performing architectures spanning Azure and AWS cloud platforms.
- Present compelling demonstrations, workshops, and presentations to both C-level executives and technical teams.
- Serve as a trusted advisor by linking technological solutions to business outcomes such as ROI and TCO.
- Assist sales efforts by responding to RFPs/RFIs, drafting proposals, and creating solution documentation.
- Collaborate with the sales team to deliver solutions that are both technically sound and commercially viable.
- Engage in discussions regarding total cost of ownership, return on investment, and cost-saving strategies to firmly establish the business case for cloud adoption.
- Work alongside delivery and operations teams to ensure proposed solutions are feasible.
- Lead workshops, architecture review meetings, and executive briefings.
- Remain informed about emerging technologies, industry trends, and competitors' offerings.
Required Qualifications
- Over eight years of professional experience, including a minimum of two years in presales or solution architecture roles.
- Demonstrated strong expertise in at least two leading cloud platforms such as Azure, AWS, or GCP.
Technical Knowledge
- Comprehensive understanding of infrastructure components including compute, storage, and networking.
- Familiarity with cloud-native AI services.
- Knowledge of Microsoft ecosystem tools like Co pilot and Co pilot Studio is advantageous.
- Experience with application modernization, APIs, and integration strategies.
- Expertise in hybrid and multi-cloud strategies.