Senior Enterprise Data Architect — AI & Cloud

T. Rowe Price; Baltimore (MD); Hybrid; USD 121,000 - 206,000; Full time

Benefits offered by this job

Hybrid work schedule

Annual bonus eligibility

Competitive compensation

Job summary

T. Rowe Price is seeking a Senior Enterprise Information Architect to lead the enterprise information architecture, focusing on logical and physical data models aligned to data product strategy. You will define, govern, and evolve core data models for scalable business capabilities across the firm.

Role requires deep data modeling expertise, collaboration with business and technology partners, and experience with cloud platforms and AI-enabled data solutions. Hybrid work is available.

Qualifications

• 5+ years of experience in data-intensive roles.
• Proven ability to define, implement, and sustain conceptual, logical, and physical data models for enterprise data products.
• Establish, socialize, and govern enterprise standards for data modeling aligned with target information architecture.
• Experience in modern cloud data ecosystems (Snowflake, AWS).
• Strong data mapping, lineage, cataloging, and application of data standards.

Responsibilities

• Define and evolve core data models aligned to an enterprise data product strategy.
• Govern enterprise data standards and ensure adherence across teams.
• Collaborate with stakeholders to align solution architecture with enterprise direction.
• Document architecture artifacts in the EA library for compliance and reuse.
• Lead reviews and provide guidance on complex data design decisions.

Skills

Data modeling

Enterprise architecture

Cloud data platforms

AI capabilities

Data governance

Education

Bachelor’s or Master’s degree in a technical field

Tools

SQLDBM

Hackolade

Job description

T. Rowe Price is seeking a Senior Enterprise Information Architect to lead the enterprise information architecture, focusing on logical and physical data models aligned to data product strategy. You will define, govern, and evolve core data models for scalable business capabilities across the firm.

Role requires deep data modeling expertise, collaboration with business and technology partners, and experience with cloud platforms and AI-enabled data solutions. Hybrid work is available.