Principal Data Modeling Architect

REALIGN LLC; Malvern (Chester County); On-site; USD 110,000 - 165,000; Full time

Job summary

REALIGN LLC in Malvern, PA seeks a Lead Data Modeler to own enterprise data modeling across conceptual, logical, and physical layers within Personal Wealth. You will partner with data stewards and product teams to define concepts, entities, relationships, and rules and ensure traceability to implementations.

Responsibilities include guiding governance, maintaining model integrity, mentoring architects, and enabling analytics, regulatory reporting, and AI-enabled use cases through robust data

Qualifications

• Expertise in data modeling across conceptual to physical levels.
• Strong enterprise information architecture and metadata management.
• Experience creating canonical models independent of application implementations.
• Knowledge of governance and stewardship in data modeling.

Responsibilities

• Partner with data stewards and product teams to define concepts, entities, relationships, and rules.
• Own the Personal Wealth canonical data model and maintain traceability to implementations.
• Lead development of canonical models supporting householding and client relationships.
• Support strategic initiatives by designing abstraction layers that isolate business concepts from vendor schemas.
• Define standards and best practices for conceptual, logical, physical, canonical, and semantic modeling.
• Establish governance processes for model stewardship, versioning, lifecycle management, and change control.
• Mentor architects, analysts, and engineers in modern data modeling practices.
• Facilitate workshops to identify and validate enterprise business concepts and relationships.

Skills

Data modeling

Enterprise architecture

Metadata management

Data governance

Canonical modeling

Stakeholder collaboration

Mentoring

Workshops facilitation

Tools

ERwin

ER Studio

Job description

REALIGN LLC in Malvern, PA seeks a Lead Data Modeler to own enterprise data modeling across conceptual, logical, and physical layers within Personal Wealth. You will partner with data stewards and product teams to define concepts, entities, relationships, and rules and ensure traceability to implementations.

Responsibilities include guiding governance, maintaining model integrity, mentoring architects, and enabling analytics, regulatory reporting, and AI-enabled use cases through robust data