Partner Solutions Architect

Responsibilities

• Serve as the primary technical advisor for strategic cloud, database, and technology partners, building trusted relationships with partner architects and engineering teams.
• Deliver technical enablement through architecture workshops, demonstrations, proof-of-concepts (POCs), technical training, and hands-on partner onboarding.
• Serve as the primary technical point of contact for strategic partner programs, onboarding customers from first introduction to production
• Design, validate, and document reference architectures that showcase Striim's real-time data streaming, Change Data Capture (CDC), data integration, and AI capabilities across partner platforms.
• Collaborate with partner sales, engineering, and product teams to support joint customer opportunities and develop repeatable solution playbooks.
• Design and prototype integrations between Striim and partner technologies, helping expand and strengthen the partner ecosystem.
• Work closely with Product Management and Engineering to communicate partner feedback, influence product direction, and prioritize integration enhancements.
• Support field Solution Architects and Sales teams during strategic customer engagements involving partner technologies.
• Develop technical content including architecture guides, best practices, solution briefs, demo environments, and implementation documentation.
• Represent Striim at partner events, technical conferences, webinars, and customer meetings as a subject matter expert in modern data architectures.
• Research emerging technologies across cloud, AI, analytics, databases, and streaming platforms to identify new partnership opportunities.
• Leverage AI-powered engineering, productivity, and developer tools (e.g., Gemini, Claude, GitHub Copilot, Codex, or similar technologies) to accelerate solution development, improve documentation, automate repetitive tasks, and enhance partner enablement.
• Explore and demonstrate AI-driven use cases that combine real-time data streaming with modern AI, machine learning, and agentic AI architectures.

Requirements