Solutions Architect, Canoe

• 2+ years in a Solutions Architecture, Technical Implementation, or Sales Engineering role, ideally within a SaaS or data-driven environment. Proven experience designing solutions for enterprise-level clients and navigating complex data ecosystems
• Proficiency in YAML, Python, and SQL is required for data manipulation, troubleshooting, and validation. Hands-on experience with API integration tools (Postman, REST) and data warehousing concepts (Snowflake)
• Strong interpersonal skills with the ability to negotiate technical requirements with client-side CTOs, CIOs, and Data Engineers. You must be able to translate complex architectural concepts into clear business value for non-technical stakeholders
• Familiarity with private equity-specific financial reporting systems and tools (e.g., Addepar, Black Diamond, or similar platforms) used for fund accounting, portfolio management, and investor reporting
• Ability to identify architectural inefficiencies and propose scalable, automated solutions that improve outcomes for both clients and the organization
• Experience working cross-functionally with internal teams such as Sales, Product, Relationship Managers, and Project Managers to ensure alignment on client goals

Desirable

• In this high-impact role, you will focus primarily on the Implementation phase of the client lifecycle, serving as the technical authority responsible for the design and delivery of complex data ecosystems
• Moving beyond standard setups, you will architect scalable and, where necessary, bespoke integration strategies designed to modernize and streamline Alternative Investment workflows for our clients
• You will act as the bridge between client business goals and technical reality, engaging with stakeholders from Operations Leads to CTOs to map data flows, design robust API connectivities, and configure scalable solutions using Canoe’s cutting-edge technology
• By combining your expertise in data engineering (Python, SQL) with deep domain knowledge, you will empower clients to modernize their reporting infrastructure, ensuring that Canoe serves as a seamless, high-value component of their broader technology stack
• Lead technical discovery workshops to map client ecosystems, identifying integration points and designing a future-state architecture that maximizes automation
• Design and implement robust data pipelines between Canoe and client systems. Define the strategy for API connectivity, SFTP transfers, and data normalization, ensuring high-fidelity data flow into downstream platforms
• Create high-quality technical artifacts including architecture diagrams, API documentation, and runbooks that empower client IT teams to understand, own, and maintain their integrations post-implementation
• Act as a Technical Consultant to client stakeholders. Manage technical expectations, articulate the "why" behind architectural decisions, and ensure clients are leveraging Canoe’s API and data capabilities to their full potential
• Identify opportunities to automate manual onboarding tasks and develop a library of reusable integration patterns. Propose enhancements to internal tooling and methodologies to reduce implementation time and friction for future enterprise clients