Data Solution Architect

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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