GTM Data Solutions Architect
Designs AI-ready data solutions for customers, translating technical and business requirements into scalable architectures across the revenue organization. The role requires 5+ years of data architecture or solutions engineering experience, strong data analysis and presentation skills, and familiarity with AI workflows and integrations.
About the job
Responsibilities
- Conduct technical discovery with clients and internal teams to determine appropriate data structures and solution designs.
- Serve as the primary technical representative for solution design, mapping data flows from sources to downstream systems.
- Architect AI-ready data layers for reliable consumption by AI agents, LLMs, and automated workflows.
- Analyze datasets to validate volume, quality, contractual commitments, technical feasibility, and usability.
- Design and document data matching and entity resolution approaches, reviewing results for accuracy and completeness.
- Use AI tools, large language models, and emerging protocols such as MCP (Model Context Protocol) to accelerate data exploration, documentation, and solution design.
- Establish frameworks for data documentation, technical discovery, and solution architecture across sales and delivery.
- Prepare and deliver technical presentations and workshops for technical and executive stakeholders.
- Remain engaged throughout sales and delivery, identifying scope and coverage gaps early.
Requirements
- 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 in SaaS.
- Strong data analysis skills, including querying, interpreting, and validating large datasets.
- Working knowledge of SQL.
- Familiarity with LLMs and AI-assisted workflows, including AI query and analysis copilots and MCP-based tooling.
- Experience or strong conceptual understanding of AI-ready data layers, including data models, schemas, and pipelines supporting AI agents and automated decision-making.
- Familiarity with data integration methods such as APIs, flat files, and direct system integrations.
- Familiarity with downstream platforms including CRM systems, marketing automation, and data warehouses.
- Excellent presentation skills and experience engaging technical and executive stakeholders.
- Exceptional interpersonal and relationship-building skills.
- Ability to establish structure, process, and direction amid technical uncertainty.
- Ability to connect GTM data strategy to AI infrastructure outcomes across the revenue organization.
Nice to Have
- Experience with ZoomInfo products or comparable go-to-market platforms.
- Experience with large-scale database and data warehouse technologies and analytics.
Compensation and Benefits
- Base salary: $98,000–$154,000 USD.
- Additional compensation such as bonus, commission, equity, and benefits may apply.
- Comprehensive benefits and holistic mind, body, and lifestyle programs.
Skills
Data Architecture, Solutions Engineering, SQL, LLMs, Mcp, Data Modeling, Data Schemas, Data Pipelines, APIs, Entity Resolution, CRM, Marketing Automation, Data Warehouses, Data Analysis
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