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

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline, or equivalent practical experience.
• 4+ years of experience in a Solutions Architect, Partner Engineer, Sales Engineer, Implementation Manager, Customer Engineer, Technical Alliances, or similar customer-facing technical role.
• Experience managing customer implementations, constantly revising processes to accelerate customer adoption
• Experience working with cloud platforms including Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS).
• Strong understanding of enterprise data architectures, including real-time data streaming, Change Data Capture (CDC), data integration, ETL/ELT, and event-driven architectures.
• Experience with technologies such as Kafka, Snowflake, Databricks, BigQuery, PostgreSQL, SQL Server, Oracle, MongoDB, or similar enterprise data platforms.
• Working knowledge of APIs, cloud networking, security, Linux/Unix environments, and container technologies such as Docker and Kubernetes.
• Experience developing solution architectures, conducting proof-of-concepts, and supporting technical pre-sales or partner engagements.
• Programming or scripting experience with Python, Java, SQL, Shell, or similar languages.
• Excellent presentation, communication, and relationship-building skills with the ability to influence both technical and business stakeholders.
• Ability to simplify complex technical concepts for a variety of audiences.
• Demonstrated curiosity and ability to quickly learn emerging technologies across cloud, AI, and enterprise data platforms.
• Experience incorporating AI-powered productivity or development tools into day-to-day work and an interest in applying AI to improve customer outcomes and technical workflows.
• Ability to travel up to 25% as needed.

Preferred Qualifications

• Experience working for or closely partnering with Google Cloud, Microsoft Azure, AWS, Snowflake, Databricks, MongoDB, or other enterprise technology providers.
• Experience with cloud marketplaces, technology alliances, or joint go-to-market initiatives.
• Familiarity with enterprise AI, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Model Context Protocol (MCP), or agentic AI architectures.
• Experience working in high-growth SaaS, cloud infrastructure, data integration, or data modernization companies.

Benefits

• Competitive salary and pre-IPO stock options
• Comprehensive health care plans (medical, dental and vision), including medical and dependent FSA
• Retirement plan (401K)
• Paid Time Off (Vacation, Sick & Public Holidays)
• The chance to contribute to and shape an upbeat, fully engaged culture

Compensation

$140,000 - $170,000 USD on an annualized basis. This role is eligible for variable based rewards,