Big Data Presales Architect

About The Role

In this role, you will bridge the gap between business and technology by shaping Data & Analytics solutions that help organizations achieve their strategic objectives. Working closely with Sales, Delivery, and Engineering teams, you will guide customers from early opportunity qualification through solution design and proposal development. Your expertise will influence strategic technology decisions while helping clients realize measurable outcomes across AWS, Microsoft Azure, and Google Cloud Platform environments.

In this role, you will bridge the gap between business and technology by shaping Data & Analytics solutions that help organizations achieve their strategic objectives. Working closely with Sales, Delivery, and Engineering teams, you will guide customers from early opportunity qualification through solution design and proposal development. Your expertise will influence strategic technology decisions while helping clients realize measurable outcomes across AWS, Microsoft Azure, and Google Cloud Platform environments.

• Partner with Sales and Delivery teams to shape Data & Analytics solutions aligned with customer business objectives
• Lead discovery sessions, workshops, and technical discussions to define transformation roadmaps and implementation strategies
• Design high-level architectures covering data strategy, governance, cloud migration, data platforms, analytics, and AI foundations
• Develop solution proposals, estimates, phased implementation plans, and responses to RFPs
• Present complex technical concepts in business-focused language to technical, executive, and C-level stakeholders
• Collaborate with engineering teams to validate feasibility, scalability, security, and delivery readiness
• Support strategic customer engagements by identifying opportunities to expand Data & Analytics capabilities
• Monitor market trends, emerging technologies, and industry best practices to strengthen solution offerings

• Extensive experience (5+ years) designing enterprise Data & Analytics solutions within consulting, solution architecture, or pre-sales environments
• Practical experience developing prototypes, demonstrations, or proofs-of-concept that support strategic customer discussions
• Proven background as a Senior Data Consultant, Data Architect, Solution Architect, or related customer-facing leadership role
• Experience designing enterprise Data & Analytics solutions on public cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform
• Understanding of modern data architectures, cloud migrations, data engineering, analytics platforms, and AI foundations
• Hands‑on experience with architectural methodologies and solution design practices (e.g., Attribute Driven Design or similar)
• Excellent communication and presentation skills with the ability to engage both technical and business audiences
• Experience building trusted relationships with customers and technology partners
• Strong consultative mindset focused on aligning technology investments with measurable business outcomes
• Professional working proficiency in English for workshops, presentations, and customer-facing engagements

Soft Serve is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.