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Sr Data Warehouse Architect

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Shirley-Ryan-Ability-La
Full Time position
Listed on 2026-07-16
Job specializations:
  • IT/Tech
    Data Warehousing, Data Engineering
Salary/Wage Range or Industry Benchmark: 110800 - 184000 USD Yearly USD 110800.00 184000.00 YEAR
Job Description & How to Apply Below
Shirley Ryan Ability Lab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you’ll be part of our life-changing mission and vision. You’ll contribute to an innovative, multifaceted culture that is second to none — one that embraces collaboration, excellence, discovery and compassion. You’ll play a role in something that’s never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes — as we Advance Human Ability, together.

Job Description Summary The Senior Enterprise Data Warehouse Architect is responsible for designing, implementing, and maintaining enterprise-level data & database designs, supporting data warehousing and advanced analytical solutions. This role translates strategic and tactical business information requirements into technical data warehouse architecture, implementable data models, and data pipeline strategies.

Key Responsibilities:

Data Modeling & Design:
Create and maintain physical databases, dimensional data models, schemas, and data dictionary documentation. Guide and oversee data modeling process, technologies, and outcomes

Data Architecture Strategy:
Ensure database design(s) and implementation support strategic information needs of the organization, and maintain the Data Warehouse Data Roadmap Performance & Security:
Optimize data warehouse performance, perform data profiling, and ensure data quality, integrity, and security across platforms.

Collaboration:

Work with Business Analysis, EDW platform Engineering, and IT teams to deliver high-performance analytics capabilities.

The Senior Enterprise Data Warehouse Architect will consistently demonstrate support of the Shirley Ryan Ability Lab statement of Vision, Mission and Core Values by striving for excellence, contributing to team efforts and showing respect and compassion for patients and their families, fellow employees and all others with whom there is contact at or in the interest of the institute.

The Senior Enterprise Data Warehouse Architect will demonstrate Shirley Ryan Ability Lab Core Attributes:
Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, & Commitment to Excellence) while fulfilling job duties.

Job Description The Senior Enterprise Data Warehouse Architect will:

Design & Architecture Responsible for the data architecture and database design of the Enterprise Data Warehouse, collaborating with other Data platform architects on the overall architecture of the data warehouse ecosystem.

Create logical and physical data models to support analytical needs of the organization, guide and oversee data modeling activities executed at a project or program level

Define data standards, naming conventions, and data architecture best practices.

Data Management & Optimization Ensure data architecture supports all Data Sets (types), and maintains integrity across systems.

Optimize data storage, indexing, and query performance for analytical workloads.

Governance, Security & Compliance Collaborate with Data Governance team to Implement data policies, including metadata management and data lineage tracking.

Ensure compliance with security, privacy, and regulatory requirements (e.g., GDPR, HIPAA depending on industry).Collaboration & Stakeholder Alignment Work closely with business analysts, data engineers, data scientists, and leadership to translate business needs into technical solutions.

Communicate architectural decisions and provide guidance to development teams.

Technology Evaluation & Innovation Collaborate in the evaluation, testing, and recommendation of new tools, platforms, and technologies (cloud data warehouses, BI tools, ETL & MLL frameworks, etc.)Stay current with trends in data architecture, cloud platforms, and big data technologies.

Performance Monitoring & Troubleshooting Monitor data warehouse performance and resolve bottlenecks and/or data quality issues.

Ensure Data design reflects high availability, reliability, and scalability of the data warehouse…
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