Principal Domain Architect - Data

About the role

Act as a strategic partner with Data Platform Product owners, Engineering leads, Program Leads, Domain Architects and Enterprise Architects and serve as a glue between technology strategy and platform engineering execution.

Responsibilities

• Provide technical and architectural oversight for high-impact programs and major transformations; review designs and assess risks while governing the decisions in architecture review boards / forums.
• Drive adherence to platform capability mapping, standards, playbooks, and guardrails across engineering teams and standardize integration patterns across domains (including AI/ML).
• Establish the target-state architecture and influence the multi-year roadmap for the data platform, aligning it with enterprise goals.
• Assess vendor/platform fit (e.g., Snowflake vs. Databricks), total cost of ownership, and integration complexity; recommend decision trees.
• Guide and enforce consistent metadata, lineage, and governance models across all data producers and consumers.
• Define and enforce data exchange standards, contracts, principles and cross-domain integration patterns.
• Drive standardization in canonical models, standardized data pipeline patterns, and reusable components, while truly driving for Data platform as a service.
• Serve as a thought leader for bringing outside-in view for cloud hyper-scalers, industry patterns and modern data architectures.

Requirements

• Legally authorized to work in the U.S.
• Commutable distance to Tampa, FL.
• 8+ years of experience in Data architecture and engineering, distributed systems and/or platform architecture.
• Deep hands-on experience with modern cloud providers like AWS, Azure or GCP and modern platforms like Snowflake, Databricks, Azure data lake, Lakehouse architectures and Data lakes or equivalent.
• Strong understanding of Data Engineering and Data Governance, Data Lineage and Privacy frameworks.
• Experience in providing clear guidance on data cataloging, metadata policies, adoption and frameworks.
• Ability to break / decouple data ecosystems into clear capabilities, standards and integration patterns.
• Knowledge of AI/ML platform integration is a huge plus.
• Prior experience in Platform Engineering and building horizontal shared or central capabilities.

Qualifications

Annual Base Salary Range: $136,000 - $195,500

Benefits

We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!

Schedule

We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.

What We Offer

We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!

What We Offer

We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!

Equal Opportunity Employer

We are an Equal Opportunity Employer. PMI is committed to a diverse and inclusive workforce.