GTM 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. 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 #LI-DB #LI-Hybrid Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $98,000—$154,000 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. 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