Big Data Pre-Sales Architect (AWS)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Big Data Pre-Sales Architect (AWS): Designing and selling cloud-based data and analytics solutions for enterprise clients with an accent on bridging business strategy with technical execution. Focus on shaping AWS-based architectures, creating value-driven transformation roadmaps, and translating complex technical designs into business-oriented narratives.
Location: Must be based in the USA
Salary: $120,000–$180,000 annually
Company
is a global provider of software development and digital transformation services, operating a specialized Big Data & Analytics Center of Excellence.
What you will do
- Act as a strategic advisor during pre-sales engagements for Big Data & Analytics initiatives.
- Design scalable AWS-based data and analytics solutions aligned with business objectives and measurable ROI.
- Lead discovery sessions, client workshops, architecture design, and executive-level presentations.
- Develop strategic sales plans, compelling proposals, RFP responses, and phased transformation roadmaps.
- Bridge Sales and Delivery teams by scoping, estimating, and defining data engagements end-to-end.
- Analyze market trends to contribute to go-to-market strategies within the AWS ecosystem.
Requirements
- 5+ years of experience in pre-sales, solution architecture, or consulting for data and analytics solutions.
- Strong expertise in cloud-based Big Data & Analytics architectures, specifically on AWS.
- Experience designing scalable solutions using methodologies such as Attribute-Driven Design (ADD).
- Proven ability to lead client workshops and deliver executive presentations.
- Bachelor’s degree in computer science, engineering, or equivalent practical experience.
- Must be based in the USA.
Nice to have
- Relevant cloud or data certifications (AWS preferred).
Culture & Benefits
- Opportunity to work as a leader within a dedicated Center of Excellence.
- Collaborative environment bridging the gap between sales and high-level engineering.
- Equal Opportunity Employer commitment regardless of background or identity.
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