Presales Solutions Architect

Location: Remote (U.S.) | Travel: ~20–30% for short on‑site customer visits We're partnering with a rapidly growing data & cloud consultancy that is expanding its pre-sales organization. They are looking for a Solutions Architect who can blend technical depth with customer-facing leadership to support new business, guide clients through complex data initiatives, and ensure long-term success across their modern data platform offerings. What You’ll Do Lead the technical sales lifecycle from initial discovery through post‑sale handoff and customer growth initiatives. Clearly articulate a portfolio of services across Managed Services, Data Engineering, and Machine Learning Engineering to both technical and non‑technical stakeholders. Build strong, strategic relationships with customers while acting as a trusted advisor throughout their data journey. Support proof‑of‑concepts and short technical engagements that validate solution design and drive deal momentum. Partner closely with account executives and delivery leaders to craft Statements of Work (SOWs) and shape solution proposals. Represent the company at industry events, conferences, meetups, and speaking engagements to enhance brand presence. Translate high‑level business objectives into actionable, scalable data engineering strategies and architectures. Manage customer expectations, provide post‑sales support when needed, and assist with escalations or project alignment. Scope complex data initiatives and define the right technical approach for enterprise-scale platform implementations. What You Bring 5+ years of combined experience as a Solutions Architect and Data Engineer, with a track record of designing and supporting modern cloud data platforms. Experience expanding enterprise accounts, nurturing long-term customer relationships, and identifying opportunities to cross‑sell or up‑sell services. Strong background in data migration within large-scale production environments. Previous technical pre-sales experience with a strong blend of technical depth, customer engagement, and sales-oriented thinking. Expertise with modern data platforms and cloud technologies such as Snowflake, AWS, Azure, or Databricks. Advanced SQL abilities, including writing, debugging, and optimizing distributed or complex queries. Exceptional communication skills and the ability to engage confidently with senior stakeholders. Demonstrated experience defining large-scale solutions and scoping engineering activities for complex projects. Willingness to travel for short client meetings (typically 1–2 day trips , ~20–30%).