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)

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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Data Solution Architect