Data Solution Architect

Job Description: Data Solution Architect

Job Summary

Vertiv is building a modern AIready 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 handson and executionfocused responsible for translating data architecture standards into working data solutions.

This role owns solutionlevel 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 endtoend 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 handson 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)

APIFirst & Marketplace Integration

• Design APIfirst access patterns for data products exposed through the Data Marketplace
• Partner with FullStack 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 AWShosted platforms
• Define integration patterns for:
  • IAM / Okta / access control
  • Eventdriven 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 AIready (consistent wellmodeled governed) and use cases are architected and designed for scalability and defined data standards

AIFirst 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 AIassisted development practices across engineering teams

Required Qualifications

• 5-7 years of experience in data engineering data modeling solution architecture or data platform roles
• Strong handson expertise with Snowflake (SQL data modeling performance)
• Experience designing endtoend data solutions not just individual pipelines
• Strong understanding of:
  • Data products and modern data architecture patterns
  • Cloud platforms (AWS preferred)
  • APIfirst and microservicesstyle integration
• Experience working closely with engineering teams in agile delivery models
• Strong documentation and communication skills (designs tradeoffs diagrams)

Preferred Qualifications

• Experience enabling AI / Analytics use cases on data platforms leveraging Enterprise Data
• Prior experience with Snowflake Data Marketplaces/catalogs or selfservice analytics
• Experience in Manufacturing or Engineering domains
• Snowflake or cloud certifications.

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