Job Description: Data Solution Architect
Job Summary
Vertiv 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 Responsibilities
Data Solution Architecture & Design
Design end‑to‑end data solutions using Snowflake for analytics, domain data products, AI use cases and insights generation
Translate business use cases into practical, implementable designs
Create 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 implementation
Snowflake & Data Engineering Enablement
Work hands‑on with Engineering team to
Define schemas, data models, and transformations
Design performant SQL and ELT patterns
Review pipelines, queries, and data models
Guide use of Snowflake capabilities (dynamic tables, streams, tasks, secure views, data sharing)
Show the full description
API‑First & Marketplace Integration
Design API‑first access patterns for data products exposed through the Data Marketplace
Partner with Full‑Stack Engineers to ensure
Clean separation between data logic and application logic
Secure, scalable data access
Define integration patterns between
Snowflake
AWS services
Marketplace backend APIs
Cloud & Platform Integration
Design data solutions that run on AWS‑hosted platforms
Define integration patterns for
IAM / Okta / access control
Event‑driven and batch data flows
Ensure security, scalability, and operational robustness
Data Quality, Metadata & AI Readiness
Ensure solution designs embed
Data quality checks
Metadata and lineage
Observability and monitoring
Work 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 standards
AI‑First Delivery Approach
Actively leverage AI tools to
Accelerate solution design and prototyping
Improve code quality and documentation
Generate and validate SQL, APIs, and test cases
Encourage AI‑assisted development practices across engineering teams
Required Qualifications
5-7+ years of experience in data engineering, data modeling, solution architecture, or data platform roles
Strong hands‑on expertise with Snowflake (SQL, data modeling, performance)
Experience designing end‑to‑end data solutions, not just individual pipelines
Strong understanding of
Data products and modern data architecture patterns
Cloud platforms (AWS preferred)
API‑first and microservices‑style integration
Experience working closely with engineering teams in agile delivery models
Strong documentation and communication skills (designs, trade‑offs, diagrams)
Preferred Qualifications
Experience enabling AI / Analytics use cases on data platforms leveraging Enterprise Data
Prior experience with Snowflake, Data Marketplaces/catalogs, or self‑service analytics
Experience in Manufacturing or Engineering domains
Snowflake or cloud certifications.
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