Data Solution Architect

Data Solution ArchitectVertiv is building a modern, AI-ready data ecosystem that powers analytics, domain data products, and digital applications. As part of this journey, we are seeking a Data Solution Architect who is highly hands-on and execution-focused, responsible for translating data architecture standards into working data solutions.This role owns solution-level design and implementation across Snowflake, data products, APIs, and cloud integration. The Solution Architect focuses on designing, prototyping, and guiding real implementations alongside engineers and product teams.This would be a very hands-on solution oriented Data Architect role.Key ResponsibilitiesData Solution Architecture & DesignDesign end-to-end data solutions using Snowflake for analytics, domain data products, AI use cases and insights generationTranslate business use cases into practical, implementable designsCreate solution designs across: Ingestion, Silver ? Gold -> Data Product layers, Output ports (views, APIs, feeds), Consumption patterns (Marketplace, BI, AI)Support and design Code Red use cases requiring Data Architecture for design and implementationSnowflake & Data Engineering EnablementWork hands-on with Engineering team to: Define schemas, data models, and transformations, Design performant SQL and ELT patterns, Review pipelines, queries, and data modelsGuide use of Snowflake capabilities (dynamic tables, streams, tasks, secure views, data sharing)API-First & Marketplace IntegrationDesign API-first access patterns for data products exposed through the Data MarketplacePartner with Full-Stack Engineers to ensure: Clean separation between data logic and application logic, Secure, scalable data accessDefine integration patterns between: Snowflake, AWS services, Marketplace backend APIsCloud & Platform IntegrationDesign data solutions that run on AWS-hosted platformsDefine integration patterns for: IAM / Okta / access control, Event-driven and batch data flowsEnsure security, scalability, and operational robustnessData Quality, Metadata & AI ReadinessEnsure solution designs embed: Data quality checks, Metadata and lineage, Observability and monitoringWork with the Principal Data Architect to ensure data products are AI-ready (consistent, well-modeled, governed) and use cases are architected and designed for scalability and defined data standardsAI-First Delivery ApproachActively leverage AI tools to: Accelerate solution design and prototyping, Improve code quality and documentation, Generate and validate SQL, APIs, and test casesEncourage AI-assisted development practices across engineering teamsRequired Qualifications5-7+ years of experience in data engineering, data modeling, solution architecture, or data platform rolesStrong hands-on expertise with Snowflake (SQL, data modeling, performance)Experience designing end-to-end data solutions, not just individual pipelinesStrong understanding of: Data products and modern data architecture patterns, Cloud platforms (AWS preferred), API-first and microservices-style integrationExperience working closely with engineering teams in agile delivery modelsStrong documentation and communication skills (designs, trade-offs, diagrams)Preferred QualificationsExperience enabling AI / Analytics use cases on data platforms leveraging Enterprise DataPrior experience with Snowflake, Data Marketplaces/catalogs, or self-service analyticsExperience in Manufacturing or Engineering domainsSnowflake or cloud certifications.Job InfoJob Identification 20280497Job Category ArchitectureLocations Westerville, OH, United States