Data Solutions Architect

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast.

As a Data Solutions Architect, you will play a crucial role in bridging the gap between our data capabilities and our clients' technical and business requirements. You will engage directly with customers and internal teams to design scalable, AI-ready data solutions, validate that what's promised can actually be delivered, and ensure every engagement is built on a foundation that holds up long after the deal closes. Your expertise in data architecture, data analysis, and cross-functional translation will be essential in driving customer satisfaction and long-term account growth.

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

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