Principal Data Architect

Job Description: Principal Data Architect

Job Summary

Vertiv is building a modern intelligent data ecosystem that powers worldclass operations customer experiences and AIdriven decision-making. As we accelerate our digital and AI transformation highquality governed and accessible data is at the center of how we operate.

We are seeking a Principal Data Architect for our Enterprise Data group. This role is a strategic hands-on technical leader responsible for designing and governing the enterprise data architecture that powers Vertivs Data Platform for Analytics AI Domain Data Products and Data Management capabilities. This role anchors the adoption of Snowflake Data & AI platform capabilities ensures alignment with business domain needs (e.g. Order-to-Cash Finance Supply Chain) and establishes the architectural foundation for data quality data products metadata and AI-ready capabilities.

The Principal Data Architect partners closely with Engineering Product Management Source System teams and business leaders to define scalable patterns reusable components and data models that accelerate adoption of trustworthy governed high-quality data in our Enterprise Data Lake.

This role is ideal for a solid technical leader who thrives at the intersection of business & data architecture and hands-on technologist who can demonstrate quick workable prototypes with hands-on approach to overall Data Architecture patterns.

About the Team

The Enterprise Data team is responsible for building Vertivs foundational data ecosystem that enables the company to scale AI analytics and operational intelligence. Our mission is to ensure that:

1. Data is wellmanaged and structured through automated controls and consistent data practices.
2. Data is easily available discoverable and usable through well-designed data products discoverability metadata and semantic consistency.

Responsibilities:

Enterprise Data Architecture

• Define and maintain Vertivs enterprise data architecture framework including conceptual logical and physical models across domains.
• Lead end-to-end architectural design for our Enterprise Data Lake (powered by Snowflake) DQ tooling and stable Data pipelines enabling real-time data availability for related use cases.
• Establish standards for Data-as-a-Product including metadata lineage ownership and interoperability.
• Translate business use cases into data architecture roadmaps aligning with enterprise priorities (O2C Finance Transformation AI use cases).

Data Platform & Engineering Architecture

• Architect scalable ingestion transformation orchestration and storage/processing layers using Snowflake Kafka/streaming and modern ELT patterns.
• Define reusable patterns for dynamic tables ingestion zones and domain data products.
• Provide architectural direction for engineers building pipelines APIs data products and semantic layers.

Data Quality & Observability

• Lead design and rollout of data quality measurement frameworks (profiling rules cleansing dimensions monitoring).
• Ensure data models and pipelines embed data reliability and observability from the start.

AI Analytics and Advanced Use Cases

• Architect data foundations to enable Agentic AI predictive analytics and generative AI.
• Define and promote patterns for feature engineering vector storage and ML-ready data sets.
• Work with Data Scientists and AI teams to ensure architecture supports scalable model training serving and feedback loops.

Governance Security & Compliance

• Partner with Cybersecurity and IT to define access models data protection and governance guardrails.
• Ensure architecture aligns with regulatory financial reporting and audit requirements.
• Drive consistent use of cataloging lineage and metadata management tools.

Thought Leadership & Mentorship

• Serve as a senior technical mentor to data engineers solution architects and product teams.
• Introduce best practices emerging patterns and modern architectural approaches.
• Influence stakeholders across business and technology with strong communication storytelling and technical depth

Requirements:

• 10 years of experience in data architecture data engineering or software engineering roles.
• Deep expertise with Snowflake SQL Lakehouse/Data Lake architectures and cloud platforms (AWS preferred).
• Proven experience designing conceptual/logical data models canonical models and domain data products.
• Strong understanding of MDM Data Quality metadata lineage data governance and data management frameworks.
• Hands-on experience with ELT/ETL frameworks real-time/streaming orchestration tools BI and Analytics tools.
• Ability to translate business processes (manufacturing related like O2C Finance Supply Chain) into scalable data architectures.
• Preferred
  • Experience enabling AI/ML vector databases or agent-based systems.
  • Prior experience with regulated or global manufacturing environments.
  • Background in solution architecture or enterprise architecture.
  • Certifications in Snowflake cloud or data management frameworks

The successful candidate will embrace Vertivs Core Principals & Behaviors to help execute our Strategic Priorities.

OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.

OUR STRATEGIC PRIORITIES

Customer Focus

Operational Excellence

High-Performance Culture

Innovation

Financial Strength

OUR BEHAVIORS

Own It

Act With Urgency

Foster a Customer-First Mindset

Think Big and Execute

Lead by Example

Drive Continuous Improvement

Learn and Seek Out Development

About Vertiv

Vertiv is a $8.0billion global critical infrastructure and data center technology company. We ensure customers vital applications run continuously by bringing together hardware software analytics and ongoing services. Our portfolio includes power cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus Ohio USA Vertiv employs around 20000 people and does business in more than 130 countries. Visit to learn more.

Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E F-1 H-1 H-2 L B J or TN or who need sponsorship for work authorization now or in the future are not eligible for hire.

Equal Opportunity Employer

Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring terms of employment mobility training compensation and occupational health without discrimination as to age race color religion creed sex pregnancy status (including childbirth breastfeeding or related medical conditions) marital status sexual orientation gender identity / expression (including transgender status or sexual stereotypes) genetic information citizenship status national origin protected veteran status political affiliation or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position you can request help by sending an email to

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