Senior Enterprise Data Modeler/Information Architect
Listed on 2026-01-07
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IT/Tech
Systems Engineer, Data Engineer
Join to apply for the Senior Enterprise Data Modeler / Information Architect role at T. Rowe Price
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At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed‑income, and multi‑asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.
We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.
Join us for the opportunity to grow and make a difference in ways that matter to you.
The Enterprise Data Architecture team is a central organization built to establish enterprise‑wide standards and capabilities as scalable solutions to be used across the enterprise. This team defines and manages enterprise data architectures working with Enterprise Architecture to ensure consistency, scale, controls and compliance to how data is managed. This organization is also responsible for enterprise information architecture.
Role SummaryAs an enterprise information architect, you will be accountable and responsible for logical and physical data modeling activities. This role requires a deep understanding of data modeling practices, excellent communication skills, and the ability to lead and collaborate with various teams and stakeholders. Governance of our core data model for our data products as an enterprise is critical. You will design and implement capabilities that can scale across the enterprise.
Experience using data modeling tools like Erwin and Hackolade is required.
- Practice accountability for self and sometimes others, providing process and standards advice in area of specialization
- Understand and advocate EA principles and articulate the value proposition of architecture to technology partners
- Manage and continuously improve the design and implementation of architecture processes and artifacts
- Ensure our firm's projects engage architecture early and often on architecturally significant projects
- Review key design decisions with departmental architecture review boards
- Ensure decisions around architecture are made and deviations from standards are properly identified, addressed, and communicated. Raise issues to the Principal Architects and Senior Managers as necessary
- Participate in and lead reviews of projects that are in flight. Work closely with technical leads of projects contributing solutions to the project’s most challenging problems and be hands‑on as needed
- Ensure that all individual solution architecture artifacts and changes are documented as per process standards and stored in T. Rowe Price’s EA Library to facilitate compliance, organization, and access
- Coordinate with other enterprise architects as necessary for solution architecture
- Take control of complex or vague problems and step through them in a rational way
- Balance tactical vs. strategic trade‑offs when making decisions or proposing solutions
- Exhibit flexibility in thinking; excel at providing solutions when additional information or ideas are presented
- Mentor junior members of the team
- Identify when junior engineers need help and provide support in a positive way that promotes confidence
- Dedicate to helping team members and make suggestions to improve practices
- Lead a small team on a specific project or task
- BS or MS degree in a technical field (or equivalent education and experience) and 5+ years of experience in data‑intensive roles
- Proven track record defining and sustaining data models for data products (conceptual, logical, physical)
- Abil…
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