Data Solutions Architect

What You Will Do

• Collaborate with clients and internal teams to conduct technical discovery, determining the right data structure and solution design for each customer's specific use case
• Serve as the primary technical representative for solution design, working closely with prospects and existing clients to map data flow from source to every downstream system
• Architect AI-ready data layers — structuring, documenting, and governing data so it can be reliably consumed by AI agents, LLMs, and automated workflows, not just traditional reporting and CRM use cases
• Analyze data sets to validate volumes and quality at multiple stages of a solution — what's contractually committed, what's technically achievable, and what's usable — to close gaps before they become customer issues
• Design and document data matching and entity resolution approaches, reviewing results for accuracy and completeness
• Leverage AI tools, large language models, and emerging protocols like MCP (Model Context Protocol) to accelerate data exploration, documentation, and solution design
• Establish and maintain a consistent framework for data documentation, technical discovery, and solution architecture that can be used across the sales and delivery organization
• Prepare and deliver technical presentations and workshops to both technical and executive stakeholders, translating complex data architecture into clear business value
• Stay proactively engaged throughout the sales and delivery cycle, flagging scope or coverage gaps early rather than after a deal has closed

What You Bring

• Bachelor's degree in Computer Science, Information Systems, Business, or a related field
• 5+ years of experience in data architecture, solutions engineering, or a similar technical customer-facing role, preferably within the SaaS industry
• Strong data analysis skills, with the ability to query, interpret, and validate large datasets; working SQL knowledge is helpful but increasingly augmented by AI-assisted tooling
• Familiarity with LLMs and AI-assisted workflows (e.g., AI query/analysis copilots, MCP-based tooling) for data exploration and solution development
• Experience or strong conceptual understanding of AI-ready data layer solutioning — designing data models, schemas, and pipelines that support AI agents and automated decisioning, not just traditional BI/reporting
• Familiarity with data integration methods (APIs, flat files, direct system integrations) and common downstream platforms such as CRM, marketing automation, and data warehouses
• Excellent presentation skills, with a track record of successfully engaging both technical and executive-level stakeholders
• Exceptional interpersonal skills and the ability to build relationships with clients and internal teams
• Ability to establish structure, process, and direction, helping customers navigate technical uncertainty and move confidently forward
• The ability to connect foundational GTM data strategy to AI infrastructure outcomes across the full revenue organization
• Experience with ZoomInfo products or comparable go-to-market platforms is a plus
• Broad range of experience within large-scale database and/or data warehouse technology and analytics is a plus but not required