Principal Data Architect

Overview

Principal Data Architect responsible for designing, governing, and optimizing enterprise data architecture to support analytics, operational data needs, AI/ML, and strategic business objectives.

What you'll do

• Design transition architectures with measurable milestones and risk mitigation.
• Own conceptual, logical, and physical data models and establish modeling standards.
• Define ingestion, transformation, storage, and distribution patterns for batch and streaming.
• Operationalize data governance, quality, and security including PII/PHI protection and compliance.
• Publish reusable architecture patterns, blueprints, guardrails, and decision records (ADRs).
• Lead POCs and reference implementations for modern data platform patterns.

What you'll need

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• 9–12 years of experience in data architecture, data engineering, or data modeling.
• 5–8 years architecting data structures and data platforms in cloud environments.
• Strong conceptual/logical/physical data modeling and data integration experience.
• Experience advancing data governance, quality, and platform modernization.
• Strong skills in data platforms including Databricks (Delta/Lakehouse), Snowflake, and BigQuery.

Details

• Remote work with location listed as Philadelphia.