Sr. Enterprise Data Architect

T. Rowe Price

Hybrid

Quick summary

Work type: Hybrid
Location: Baltimore, MD
Salary: $121,000–$206,000 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k

This role $164k

$109k most similar roles pay here $237k

This role pays less than 58% of similar roles. Most pay $135,000–$217,362 — the shaded band above. At the midpoint, this role pays about $164k versus about $176k for comparable roles.

Based on 239 similar postings.

Employer

About T. Rowe Price

T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services

T. Rowe Price currently has 21 open roles on FindRole.

Listed pay typically runs $121,000–$206,000 across 21 roles with salary data.

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View all roles at T. Rowe Price

At a glance

TL;DR · Sr. Enterprise Data Architect

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The Senior Enterprise Data Architect role within T.'s Enterprise Data Architecture and Data Platform team involves leading the design and governance of enterprise data and AI architecture, ensuring scalable and secure solutions across the firm. This hands-on position requires defining reference architectures, guiding implementation patterns, and building prototypes to validate new capabilities. The ideal candidate will have deep expertise in modern cloud data platforms, AI/ML architecture, and strong communication skills, with experience in AWS and Snowflake, including metadata management and governance standards. Key responsibilities include designing end-to-end architecture patterns for data ingestion, transformation, semantic modeling, and deployment, as well as collaborating with engineering teams to ensure scalable solutions are implemented effectively. This role demands proficiency in Python or another modern programming language, along with knowledge of APIs, CI/CD, and operational best practices, making it ideal for someone passionate about solving complex enterprise problems and driving technical consensus.

Skills

AWS Snowflake Python CI/CD Terraform Kubernetes Docker Prometheus Grafana APIs orchestration patterns metadata management data lineage data governance infrastructure as code Amazon Bedrock Agent Core Snowflake Cortex

What you'll do

Lead design and implementation of enterprise data and AI solutions from concept to production.
Define end-to-end architecture patterns for data ingestion, transformation, and model orchestration.
Build prototypes and proofs-of-concept to validate new data and AI capabilities.
Establish reusable design patterns for agentic, analytical, and model-driven workflows.
Evaluate tradeoffs in tools, models, platforms, and recommend solutions aligned with enterprise strategy.

What we're looking for

8+ years of experience in data and AI solution architecture at enterprise scale.
Hands-on expertise with AWS and Snowflake for governed data access, analytics, and AI integration.
Deep understanding of modern data architecture including ingestion, transformation, semantic modeling, metadata, lineage, governance, and deployment patterns.
Strong technical skills in Python or a similar language, APIs, orchestration, CI/CD, infrastructure as code, and operational best practices.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
Proven ability to lead architecture design and implementation from concept through production.

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